About Me
Results-driven Data Scientist and AI/ML Engineer with hands-on industry experience building end-to-end machine learning pipelines, LLM-integrated applications, and interactive analytics dashboards. Proficient in Python, SQL, Scikit-learn, TensorFlow, PyTorch, and Generative AI (LLMs, RAG, LangChain, Groq API). Experienced deploying models as REST services with Flask/FastAPI and Docker. Seeking entry-level roles in Data Science, Machine Learning Engineering, Data Analytics, or Generative AI.
Skills & Technologies
Work Experience
Data Science & AI/ML Intern
Engineered and deployed 3+ end-to-end Data Science and AI/ML projects on real-world datasets including Uber and Spotify, covering full data pipelines. Built an LLM-powered chatbot using Groq API, RAG, and LangChain integrated into a Digital Addiction Detector system. Developed interactive Power BI and Streamlit dashboards reporting KPIs for multiple analytics projects. Applied supervised and unsupervised ML algorithms with Scikit-learn and PyTorch and containerized model APIs with Flask/FastAPI and Docker.
Projects
AI-Powered Digital Addiction Detector System
Architected a full-stack behavioral monitoring system integrating live Android ADB data with ML models (Isolation Forest, Random Forest, Logistic Regression) to detect and predict digital addiction patterns in real time. Delivered an interactive Streamlit dashboard with screen-time analytics, app usage tracking, anomaly detection alerts, and a RAG-based LLM chatbot for personalized recommendations; persisted data in SQLite for longitudinal trend analysis, packaged with Docker for consistent deployment.
Uber Data Analytics & Intelligence Dashboard
Processed and analyzed 500K+ Uber trip records to surface KPIs including peak-hour demand, revenue trends, ride distribution heatmaps, and booking pattern forecasts using Pandas and Plotly. Integrated an LLM-powered (Groq API) Q&A module enabling natural-language querying of trip analytics; exposed via a FastAPI backend and delivered a Streamlit BI dashboard with dynamic filters, drill-down visualizations, and automated KPI reporting.
Education
Bachelor of Engineering
Information Technology