M.Tech Data Science & Machine Learning Candidate
Building scalable AI solutions, from predictive modeling to computer vision systems.
I am a Data Scientist and ML Engineer driven by the challenge of extracting meaning from noise. Currently pursuing my M.Tech in Data Science and Machine Learning at Rashtriya Raksha University, I focus on building robust AI systems that solve real-world problems.
My research interests lie in Natural Language Processing (NLP), Computer Vision, and Predictive Analytics. Unlike typical development, I approach problems with a rigorous scientific methodology—hypothesis, experimentation, evaluation, and optimization.
Python
C++
Java
SQL
TensorFlow
PyTorch
Pandas
NumPy
Power BI
AWS
Git & GitHub
HTML5
JavaScriptProblem: Need for a versatile voice-enabled assistant for quick information retrieval.
Approach: Built a Python-based NLP engine capable of voice recognition, web scraping, and conversational context handling.
Outcome: Integrated successfully with web APIs for real-time data.
Problem: Fragmented patient data making quick diagnosis difficult.
Approach: Aggregated data using SQL and visualized key health metrics in an interactive Power BI dashboard.
Outcome: Improved data accessibility for healthcare decisions.
Problem: Understanding ride patterns and revenue drivers.
Approach: Processed 50,000+ records to analyze peak hours, route demand, and driver performance metrics.
Outcome: Identified key revenue opportunities.
Interested in my research or want to discuss a project? Reach out.