Data Analyst & ML Enthusiast with hands-on experience in Power BI, Python, and Machine Learning. Currently building intelligent solutions and competing in Kaggle competitions.

• 🔭 Currently working on: Auto Subtitle Generation using OpenAI Whisper & WhisperX
• 🏆 Achievements: Rank 158 (Top 3.5%) in Kaggle Hull Tactical Competition | ₹124.6M Power BI Analytics Dashboard
• 💼 Recent Internship: Machine Learning / Power BI Intern at Oaz Shakti (Nov 2025 - present)
• 📊 Specialized in: Business Intelligence, Data Visualization, Machine Learning, NLP
• 📝 Published: Research paper on Customer Segmentation (IJNRD)
• 🌱 Learning: Advanced ML models, WhisperX optimization, Data Engineering

Data Analytics & BI:

Programming & ML:

Web Development:

• Analyzed 24K+ transactions worth ₹124.6M
• Built interactive Power BI dashboards with DAX measures
• Identified ₹8.4M in overdue payments
• Tech: Power BI, DAX, Power Query, Python

• Implementing OpenAI Whisper & WhisperX for subtitle generation
• Experimenting with accuracy improvements
• Tech: Python, OpenAI Whisper, WhisperX, NLP

• ML model to detect fake news articles
• Tech: Python, NLP, Machine Learning

• K-Means clustering for customer analysis
• Published in IJNRD journal
• Tech: Python, scikit-learn, Pandas

• 🥇 Rank 158/4,506 (Top 3.5%) - Kaggle Hull Tactical Asset Allocation Competition ($100K Prize Pool)
• 📝 Published Research - Customer Segmentation (IJNRD)
• 🎯 Google Tunix Hackathon - Participant (2025)

💡 Open to Data Analyst, Machine Learning, and Business Intelligence internship opportunities!

⭐️ Fun Fact: I love turning raw data into beautiful, actionable insights!