Building machine learning, analytics, forecasting, and AI-powered solutions that help organizations make smarter decisions and create measurable business impact.
I am a Data Scientist passionate about using data to solve business problems, improve decision-making, and build intelligent systems.
My work spans Machine Learning, Generative AI, Forecasting, Analytics Engineering, Business Intelligence, and Data Engineering. Over the years, I have worked on projects across Finance, Healthcare, Retail, Energy, Supply Chain, and Public Sector domains, transforming complex data into predictive models, analytical solutions, and actionable insights.
I enjoy working across the entire analytics lifecycle—from data acquisition and engineering to model development, visualization, deployment, and stakeholder communication. My focus is always on creating practical solutions that deliver measurable value rather than building models for the sake of complexity.
- Developed machine learning, forecasting, and analytics solutions across multiple industries and business functions.
- Built Generative AI applications including Retrieval-Augmented Generation (RAG) systems and AI-powered assistants.
- Experienced in predictive analytics, customer intelligence, anomaly detection, business performance analysis, and decision-support systems.
- Strong background in data engineering, cloud analytics, ETL development, and large-scale data processing.
- Passionate about bridging technical implementation with business objectives and measurable outcomes.
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AI-powered document intelligence platform enabling contextual question answering and semantic retrieval across financial reports and business documents. Technologies: LangChain • FAISS • Hugging Face • Groq • RAG |
Multi-agent research platform that automates cryptocurrency market analysis, news aggregation, trend monitoring, and insight generation. Technologies: CrewAI • Groq • Exa Search • Alpha Vantage |
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Distributed machine learning solution designed to identify high-risk customers and support proactive retention strategies at scale. Technologies: PySpark • Spark ML • Machine Learning |
Forecasting framework evaluating statistical and machine learning approaches to predict energy demand and consumption trends. Technologies: ARIMA • XGBoost • TensorFlow • LSTM |
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Cloud-native analytics solution built to process transportation datasets through scalable ETL pipelines and business reporting workflows. Technologies: Google Cloud Platform • BigQuery • ETL • Looker Studio |
Analytics platform focused on pricing strategy, customer behavior analysis, and identifying revenue growth opportunities. Technologies: PostgreSQL • SQL • Business Analytics |
| Domain | Technologies |
|---|---|
| Programming | Python, SQL, R |
| Machine Learning | Scikit-Learn, XGBoost, TensorFlow, PyTorch, Spark ML |
| Generative AI | LangChain, FAISS, Hugging Face, CrewAI, OpenAI APIs |
| Data Engineering | PySpark, ETL Pipelines, Data Warehousing |
| Cloud | AWS, Azure, Google Cloud |
| Analytics & BI | Power BI, Tableau, Looker Studio, Streamlit |
| Tools | Git, GitHub, Docker, MLflow, Jupyter |
| Platform | Profile |
|---|---|
| LeetCode | View Profile |
| HackerRank | View Profile |
| Tableau Public | View Dashboards |
Whether it's Data Science, Machine Learning, Generative AI, Analytics Engineering, Forecasting, or interesting data problems, I'm always happy to connect with fellow professionals, recruiters, hiring managers, and builders.
📧 Email Me | 💼 LinkedIn | 🌐 Portfolio Website | 💻 GitHub Projects