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- {
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- "personal_details": {
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- "full_name": "Manyue Javvadi",
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- "current_location": "Canada",
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- "nationality": "Indian",
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- "professional_summary": "I'm Manyue Javvadi, a Machine Learning enthusiast passionate about creating projects that push the limits of innovation. Guided by the belief that 'Imagination is more powerful than knowledge,' as Albert Einstein once said, I strive to develop solutions that enhance human potential, not replace it. Explore the ideas and creations that aren't just part of the present—they're shaping a future where technology and humanity thrive together.",
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- "online_presence": {
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- "personal_website": "https://manyuejavvadi.netlify.app/",
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- "linkedin": "https://www.linkedin.com/in/manyue-javvadi-datascientist/",
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- "portfolio": "https://manyue-datascientist-portfolio.streamlit.app/",
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- "blog_posts": [
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- {
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- "title": "The Questions That Kept Me Up All Night: My Sleepless Struggle to Understand NLP",
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- "focus": "Deep dive into Natural Language Processing challenges and insights"
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- },
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- {
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- "title": "Are We Headed Toward the Next Threat, Bigger Than a Nuclear Bomb?",
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- "focus": "Analysis of AI safety and ethical considerations"
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- },
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- {
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- "title": "How KNN Works: A Simple Explanation of Nearest Neighbors",
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- "link":"https://knn-algorithm-explained-by-manyue-javvadi.hashnode.dev/how-knn-works-a-simple-explanation-of-nearest-neighbors",
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- "focus": "Educational content breaking down ML algorithms"
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- }
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- ]
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- },
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- "career_transition": {
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- "key_decision": "Transitioned from Java development at Cognizant to pursue ML/AI dream in Canada",
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- "motivation": "Combining technical expertise with innovation and commerce skills in ML/AI field",
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- "current_focus": "Building practical ML solutions while advancing education in Canada"
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- }
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- },
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- "education": {
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- "postgraduate": [
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- {
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- "course_name": "Big Data Analytics",
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- "institution": "Georgian College",
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- "graduation_year": "2024",
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- "gpa": "8.3/10",
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- "achievements": ["Dean's List Honoree"],
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- "key_courses": [
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- "Advanced Machine Learning",
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- "Big Data Processing",
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- "Statistical Analysis",
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- "Data Visualization"
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- ]
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- },
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- {
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- "course_name": "Applied AI Solutions Development Program",
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- "institution": "George Brown College",
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- "graduation_year": "2025",
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- "gpa": "3.8/4.0",
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- "key_courses": [
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- "Deep Learning Applications",
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- "Natural Language Processing",
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- "Computer Vision",
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- "MLOps and Deployment"
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- ]
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- }
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- ],
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- "undergraduate": {
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- "course_name": "Bachelor of Commerce",
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- "institution": "SRM University Chennai",
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- "graduation_year": "2021",
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- "grade": "89%",
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- "relevance": "Strong foundation in business analytics and decision-making"
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- },
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- "ongoing_learning": {
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- "certifications_in_progress": ["MLOps Specialization"],
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- "areas_of_focus": [
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- "Model Deployment",
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- "CI/CD for ML",
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- "ML System Design"
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- ]
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- }
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- },
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- "skills": {
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- "technical_skills": {
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- "machine_learning": {
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- "core": ["Supervised Learning", "Unsupervised Learning", "Neural Networks"],
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- "frameworks": ["scikit-learn", "TensorFlow", "PyTorch"],
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- "focus_areas": ["NLP", "Computer Vision", "Recommendation Systems"]
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- },
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- "programming": {
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- "primary": ["Python", "Java"],
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- "libraries": ["NumPy", "Pandas", "Matplotlib", "Seaborn"],
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- "tools": ["Git", "Docker"]
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- },
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- "data": {
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- "databases": ["SQL", "MongoDB"],
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- "visualization": ["Tableau", "PowerBI"],
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- "processing": ["PySpark", "Hadoop"]
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- },
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- "deployment": {
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- "web": ["Streamlit", "Flask"],
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- "mlops": ["MLflow", "DVC"],
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- "version_control": ["Git", "GitHub"]
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- }
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- },
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- "soft_skills": [
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- {
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- "skill": "Problem-solving",
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- "context": "Developed innovative solutions in ML projects"
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- },
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- {
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- "skill": "Communication",
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- "context": "Technical blog writing and project documentation"
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- },
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- {
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- "skill": "Adaptability",
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- "context": "Successfully transitioned from commerce to tech"
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- },
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- {
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- "skill": "Leadership",
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- "context": "Led project teams and initiatives"
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- }
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- ]
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- },
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- "professional_experience": {
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- "work_experience": [
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- {
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- "position": "Junior Software Engineer",
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- "company": "Cognizant",
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- "duration": "June 2021 – September 2023",
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- "location": "Chennai, India",
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- "achievements": [
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- "Developed and maintained Java applications in insurance domain",
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- "Led migration from SVN to GitHub for improved development workflow",
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- "Collaborated with cross-functional teams for requirement analysis",
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- "Resolved version conflicts during application upgrades"
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- ],
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- "technologies_used": [
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- "Java",
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- "Spring Framework",
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- "SQL",
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- "Git"
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- ],
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- "impact": "Improved documentation process and streamlined backend storage"
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- }
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- ]
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- },
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- "projects": {
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-
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- "major_projects": [
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- {
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- "name": "AI-Powered POS System",
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- "description": "An innovative Point-of-Sale system that integrates cutting-edge AI technologies to revolutionize restaurant operations. The project involves proprietary algorithms and novel approaches that are currently under IP discussion with my institution.",
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- "impact": "Aims to transform how restaurants handle operations, inventory, and customer service using AI",
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- "skills_used": ["Python", "MLOps", "Deep Learning", "Computer Vision"],
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- "status": "Under active development - MVP phase",
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- "confidentiality_note": "Full details under IP review"
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- },
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- {
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- "name": "Innovative E-commerce Enhancement",
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- "description": "Developing a transformative feature for Shopify stores that leverages advanced NLP and ML techniques to significantly improve customer engagement and conversion rates.",
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- "impact": "Early testing shows promising results in customer interaction metrics",
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- "skills_used": ["Python", "Neural Networks", "NLP", "Deep Learning"],
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- "status": "In development - proprietary solution",
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- "confidentiality_note": "Details limited due to potential commercial application"
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- },
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- {
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- "name": "Smart Nutrition Recommendation System",
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- "description": "An innovative system that scans product barcodes and analyzes nutrition labels to provide personalized healthy alternatives based on user preferences and dietary requirements.",
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- "key_features": [
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- "Barcode scanning integration",
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- "Nutrition analysis engine",
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- "Personalized recommendation algorithm",
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- "Alternative product matching"
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- ],
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- "technical_details": {
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- "data_processing": "Real-time nutrition label analysis",
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- "ml_models": "Custom recommendation engine using collaborative and content-based filtering",
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- "user_profiling": "Dynamic preference learning system"
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- },
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- "skills_used": ["Python", "Computer Vision", "Machine Learning", "Recommendation Systems"],
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- "status": "Prototype development",
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- "target_impact": "Making healthy food choices more accessible and personalized"
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- },
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- {
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- "name": "AI Portfolio Assistant",
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- "description": "A sophisticated chatbot leveraging LLM technology to provide dynamic, context-aware responses about my professional journey and projects.",
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- "key_features": [
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- "Natural language understanding",
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- "Context-aware responses",
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- "Dynamic job description analysis"
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- ],
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- "skills_used": ["Python", "LLMs", "Streamlit", "NLP"],
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- "status": "Deployed and actively enhanced"
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- }
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- ],
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- "algorithm_practice_projects": [
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- {
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- "name": "University Admission Predictor",
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- "type": "Linear Regression Implementation",
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- "description": "Built from scratch to understand core regression concepts, helping Jamboree predict admission chances for international students.",
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- "technical_focus": "Custom implementation of linear regression without using sklearn",
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- "skills_developed": ["Statistical Analysis", "Algorithm Implementation", "Feature Engineering"],
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- "accuracy": "81% on test data",
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- "status": "Completed"
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- },
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- {
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- "name": "LoanTap Credit Assessment",
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- "type": "Logistic Regression Implementation",
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- "description": "Custom-built logistic regression model for credit worthiness prediction",
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- "technical_focus": "Implementation of logistic regression from scratch",
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- "skills_developed": ["Credit Risk Modeling", "Binary Classification", "Model Evaluation"],
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- "status": "Completed"
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- },
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- {
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- "name": "OLA Driver Retention Analysis",
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- "type": "Ensemble Learning",
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- "description": "Predictive modeling for driver churn using various ensemble techniques",
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- "technical_focus": "Implementation of multiple base models and ensemble methods",
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- "skills_developed": ["Ensemble Methods", "Feature Selection", "Model Comparison"],
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- "status": "Completed"
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- },
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- {
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- "name": "AdEase View Prediction",
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- "type": "Time Series Analysis",
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- "description": "Forecasting Wikipedia page views for optimal ad placement",
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- "technical_focus": "Implementation of time series models and forecasting techniques",
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- "skills_developed": ["Time Series Analysis", "Forecasting", "Data Preprocessing"],
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- "status": "Completed"
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- }
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- ]
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- },
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-
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- "personal_journey": {
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- "dietary_changes": "I transitioned to a vegetarian diet in 2021 but resumed eating non-veg in 2023 to address nutritional deficiencies.",
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- "life_changes": [
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- {
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- "date": "December 2023",
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- "event": "I relocated to Canada for advanced education."
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- }
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- ],
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- "mindset": "I am resilient, adaptable, and innovation-driven. I thrive on challenges and use setbacks as opportunities for growth.",
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- "motto_or_vision": "To leverage AI/ML to create solutions that enhance user experiences while retaining the human touch."
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- },
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- "goals_and_aspirations": {
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- "short_term": [
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- "I want to master advanced machine learning techniques.",
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- "I aim to expand my portfolio with impactful projects.",
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- "I seek to secure a role as an ML engineer in Canada."
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- ],
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- "long_term": [
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- "I plan to develop AI solutions that redefine retail and hospitality experiences.",
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- "I aspire to establish a successful AI startup.",
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- "I want to mentor aspiring AI professionals."
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- ]
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- },
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- "frequently_asked_questions": [
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- {
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- "question": "Why did you transition from commerce to AI/ML?",
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- "answer": "The transition from commerce to AI/ML was a result of an unexpected turn in my career journey. After completing my bachelor's degree in commerce, I was fortunate to land a job at Cognizant Technology Solutions as a Programmer Trainee. Despite having no prior experience in coding or programming, coming from a core commerce background, my eagerness to learn and quick adaptability caught the attention of my trainers. CTS gave me an opportunity, and during the initial 45-day training period and assessment, I performed exceptionally well in Java, which helped me secure a position in the development team. This was a remarkable achievement, as many computer science graduates typically end up in support roles. However, after working for a year, I realized that while I had developed a passion for programming, I still felt disconnected from my original interest in business and commerce. I knew I had to find a way to combine both my love for programming and my interest in business. That's when I discovered data science and machine learning, which seemed like the perfect intersection. With this newfound clarity, I embarked on a journey to master AI/ML, and now, I am truly enjoying the blend of technology and business that this field offers."
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- },
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- {
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- "question": "What unique qualities do you bring to the table?",
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- "answer": "I combine technical expertise with a fresh perspective, thanks to my diverse background. My adaptability and ability to think beyond conventional approaches are my biggest strengths."
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- },
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- {
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- "question": "What is your most innovative project?",
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- "answer": "The most innovative project is an AI-powered Point-of-Sale (POS) system designed to Reduce order time and order errors. I'm currently working with my college to secure intellectual property rights, so I can't disclose the full extent of its capabilities at this time. However, I'm confident that this project has the potential to significantly impact the restaurant industry."
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- }
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- ],
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- "career_development": {
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- "short_term": [
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- "I aim to continue mastering ML concepts through projects and coursework.",
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- "I want to build a portfolio that highlights my ability to solve real-world problems.",
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- "I plan to secure an ML engineer role in retail or hospitality AI."
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- ],
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- "long_term": [
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- "I intend to build AI tools that make a global impact in the retail sector.",
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- "I aspire to launch my own AI startup focused on innovative NLP applications.",
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- "I want to contribute to the AI/ML community by mentoring and sharing knowledge."
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- ],
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- "perspectives": {
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- "market_outlook": {
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- "job_market": "I believe market conditions are less about timing and more about preparation. While the market may have its ups and downs, I focus on building strong skills and creating impactful projects. Quality efforts and continuous learning will always find opportunities.",
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- "value_proposition": "My unique combination of commerce background and technical skills allows me to understand both business needs and technical implementation, making me a valuable asset regardless of market conditions.",
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- "strategy": "I'm using this time to enhance my skills, build innovative projects, and stay ahead of industry trends. It's about creating value, not just seeking opportunities."
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- },
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- "learning_philosophy": "I believe in learning through practical implementation. Rather than just studying algorithms, I build projects from scratch to truly understand the concepts.",
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- "work_approach": "I focus on creating solutions that enhance human capabilities rather than replacing them. Every project I undertake aims to solve real-world problems.",
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- "career_perspective": "Success in tech isn't just about coding skills—it's about understanding business problems and creating meaningful solutions."
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- },
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- "common_queries": {
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- "weather": "I'm focused on ML/AI and career discussions. For weather information, I'd recommend checking local weather services.",
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- "market_conditions": "Rather than focusing on market conditions, I believe in creating value through continuous learning and practical projects. Would you like to know about my approach to standing out in any market?",
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- "general": "I'm Manyue's portfolio assistant, focused on discussing my professional journey, projects, and ML/AI expertise. For general queries, I'd encourage exploring more relevant resources."
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- }
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- }
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- }
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