Final year BCA student passionate about Artificial Intelligence, Machine Learning, and Data Science. Currently building a strong foundation in data analysis and statistical modeling while expanding my knowledge of machine learning algorithms.
🎯 Current Focus: Securing Data Analyst roles while expanding AI/ML expertise
🚀 Goal: Become a proficient AI/ML Engineer who builds intelligent systems that make a difference
- Statistical Analysis & Hypothesis Testing
- Probability Theory & Distributions
- Linear Algebra & Calculus Fundamentals
- Descriptive & Inferential Statistics
🔄 Active Focus Areas:
- Machine Learning: Scikit-learn, Model Training & Evaluation
- Deep Learning: TensorFlow/PyTorch basics
- Advanced Visualization: Seaborn, Plotly
- Feature Engineering: Data preprocessing and transformation techniques
- SQL Mastery: Complex queries, window functions, optimization
📖 On the Roadmap:
- Natural Language Processing (NLP)
- Computer Vision fundamentals
- Time Series Analysis
- Cloud platforms (AWS/GCP) for ML deployment
- MLOps basics
End-to-end HR analytics project identifying why employees leave and which departments are most at risk
- Analyzed 1,470 employees across 35 attributes using the IBM HR Analytics dataset
- Wrote 7 advanced SQL queries covering Window Functions, CTEs, LAG, NTILE, and FILTER aggregates
- Built a 5-visual interactive Power BI dashboard connected live to PostgreSQL
- Uncovered that Sales Representatives have a 39.76% attrition rate — highest in the company
- Found that 44% of R&D leavers were on overtime, linking overwork to junior-level exits
Exploratory Data Analysis on a retail superstore dataset to uncover sales trends and business insights
- Performed full data cleaning, outlier detection, and feature exploration on 9,994 records
- Analyzed sales and profit across categories, sub-categories, regions, and customer segments
- Identified the Technology category as the highest profit driver despite lower order volume
- Discovered that the Furniture category — especially Tables — is consistently loss-making
- Delivered 5 actionable business insights with supporting visualizations
Interactive dashboard for analyzing restaurant ratings, costs, and trends across Bangalore
- Built an interactive web application using Streamlit to explore 8,700+ restaurants across 93 areas
- Analyzed restaurant ratings, cuisines, and cost trends using Pandas and Seaborn
- Implemented features like city overview, area deep dive, and cuisine explorer with real-time filtering
- Deployed a live dashboard providing actionable insights into the Bangalore food scene
✅ Strong Python Foundation – Comfortable with data manipulation and analysis
✅ SQL Proficiency – Complex queries, joins, and database design
✅ Statistical Thinking – Apply mathematics to solve data problems
✅ Problem Solver – Break down complex challenges into actionable steps
✅ Fast Learner – Quickly adapt to new tools and technologies
✅ Version Control – Clean Git workflow and collaboration ready
📩 Open to Data Analyst internships and entry-level opportunities
🤝 Happy to collaborate on data science and ML projects
Full-stack web application that analyzes and summarizes lab test reports using AI
- Upload blood test PDFs (CBC, ESR, etc.) and extract structured data automatically via OCR
- AI-powered interpretation using Llama 3.3 via Groq API with color-coded normal/borderline/abnormal indicators
- Auto-generated patient-friendly summary with a built-in Medical Terms Glossary
- One-click export of a polished multi-page PDF report with full analysis and recommendations
- Fully deployed on Vercel with Supabase as the backend
"In God we trust. All others must bring data." – W. Edwards Deming
"Data is the new oil, but analytics is the combustion engine."