🎓 B.Tech CCE @ Manipal University Jaipur (2022–2026)
💼 AI/ML & Data Analytics Intern @ Adani Green | Ex-Adani Power, Celebal
🔬 Passionate about leveraging data to solve real-world problems

I'm a Data Analyst and Python Developer with hands-on experience in AI-based solutions, machine learning, and data visualization. Currently interning at Adani Green and previously worked at Adani Power and Celebal Technologies.

• 📊 Data-Driven Decision Making: Built solutions that improved efficiency by 40% and boosted engagement by 20%
• 🤖 AI/ML Expertise: Developed CNN-based classifiers with 97% accuracy and LSTM models for time series prediction
• 📈 Business Impact: Created dashboards that reduced debugging latency by 70% and enabled faster crisis response
• 🛠️ Full-Stack Development: From data pipelines to web applications using modern tech stack

🚀 Cursor-like Intelligence | Multi-Mode AI Assistant | Repository Intelligence

Advanced AI-powered code analysis platform that provides Cursor-like intelligence for understanding, analyzing, and improving codebases. Features context-aware chat, security scanning, code visualization, and real-time analysis with Groq and Gemini AI.

🛠️ Tech Stack: Python, FastAPI, React, TypeScript, RAG, Vector Search, Groq, Gemini 📊 Impact: Intelligent code suggestions, 50MB+ repository processing, real-time AI assistance

📈 20% CTR Boost | 12% Churn Reduction | 500K+ Records

Comprehensive analysis of Instagram user engagement patterns using SQL and Power BI. Created actionable insights that led to significant business improvements.

🛠️ Tech Stack: SQL, Power BI, Data Analysis 📊 Impact: 20% increase in ad CTR, 12% reduction in user churn

🏢 Used at Adani Power | 40% Manual Work Reduction

Developed a real-time people counting system using OpenCV and MobileNet SSD. Successfully deployed at Adani Power, reducing manual monitoring workload by 40%.

🛠️ Tech Stack: Python, OpenCV, MobileNet SSD, Computer Vision 📊 Impact: 40% reduction in manual monitoring at Adani Power

📊 15% Accuracy Improvement | Time Series Analysis

Built an LSTM-based time series model for stock price forecasting. Achieved 15% improvement in prediction accuracy compared to baseline models.

🛠️ Tech Stack: Python, TensorFlow, LSTM, Yahoo Finance API 📊 Impact: 15% improvement in stock prediction accuracy

⚡ Real-time NLP | 18% Engagement Boost | Crisis Response

Live dashboard using VADER sentiment analysis for market intelligence. Enabled faster crisis response and achieved 18% boost in user engagement.

🛠️ Tech Stack: Python, Streamlit, VADER, NLP 📊 Impact: 18% engagement boost, faster crisis response

🔍 70% Debugging Time Reduction | Slack Integration | 1000+ Logs

Real-time log analyzer with Slack alerts and anomaly detection. Processes 1000+ log entries with service-wise filters and 10-second auto-refresh.

🛠️ Tech Stack: Python, Streamlit, Slack API, SQLite 📊 Impact: 70% reduction in debugging latency, <2s Slack alert response

Advanced Data Analytics

Machine Learning Fundamentals

Optimization for ML

Algorithmic Toolbox