Experienced Data Scientiest, Business & Financial Analytics Expert with multiple years driving data-driven decision making across Fortune 500 organizations. Recently completed MS in Business Statistics & Financial Analytics (4.00 GPA) with specialization in financial analytics, quantum computing, and generative AI.
- ๐ฐ $1.2B+ revenue generated through AI-powered financial solutions
- ๐ฅ 50M+ users served across global platforms
- ๐ก $50M+ annual cost savings through analytics optimization
- ๐ฏ 35+ cross-functional team members led across global markets
Tech Stack: Python, Neo4j, LangChain, OpenAI, Vector Search
- Developing novel Agentic AI systems integrated with Neo4j graph databases
- Creating multi-agent coordination mechanisms for financial knowledge traversal
- Implementing graph-enhanced RAG architecture with 40% improved query relevance
- Innovation: Pioneering graph-based autonomous agent decision-making
Tech Stack: Python, LSTM, BERT, Weaviate, Streamlit, AWS
- ESG-integrated stock prediction with 94% accuracy
- Real-time sentiment analysis of financial news
- Interactive dashboard for portfolio managers
- Business Impact: 25% improvement in investment decision accuracy
Tech Stack: Python, cvxpy, pandas, plotly, Jupyter
- Multi-objective portfolio optimization with ESG constraints
- Monte Carlo simulations for risk assessment
- Efficient frontier visualization
- Business Impact: 15% better risk-adjusted returns
Tech Stack: Qiskit, Python, NumPy, matplotlib
- Quantum algorithms for portfolio optimization
- Hybrid classical-quantum risk modeling
- Research project with 40% faster optimization
- Innovation: First quantum-enhanced financial forecasting model
Tech Stack: React, D3.js, Python Flask, Redis, WebSocket
- Live market data visualization
- Real-time risk monitoring
- Interactive financial charts
- Performance: Sub-second latency for 1M+ data points
Tech Stack: React Native, TensorFlow.js, Firebase
- Personal finance optimization
- AI-powered spending insights
- Goal-based financial planning
- User Impact: 30% improvement in savings rate
- Outstanding Student Award - University of New Haven (2024)
- 4.0 GPA - MS Business Statistics Program
- Research Excellence - Quantum CT Challenge (2024)
- Innovation Award Winner - INTUIT (1st out of 156 teams)
- Service Ninja Challenge Winner - INTUIT
- Digital Transformation Leader - IBM
- "ESG-Integrated Financial Forecasting using LSTM-BERT Architecture" - Under Review
- "Quantum Computing Applications in Portfolio Optimization" - Quantum Finance Research (under review)
- "Analysis in Patient Treatment using ML, DL techniques" - Web4All Conference (2020)
- ๐ฅ 50+ commits in the last month
- ๐ 15+ repositories actively maintained
- โญ 100+ stars received across projects
- ๐ค 25+ contributions to open source projects
- ๐งฎ Quantum Computing in Finance
- ๐ฑ ESG Analytics & Sustainable Finance
- ๐ค AI/ML for Financial Services
- ๐ Advanced Statistical Modeling
- Quantum algorithms for portfolio optimization
- ESG-integrated financial forecasting models
- Generative AI for automated financial reporting
- Real-time risk analytics using graph databases
- Senior Business Analyst / Financial Analyst roles
- Director of Analytics / VP of Financial Analytics
- Chief Data Officer positions
- Quantitative Research roles in investment firms
- Consulting in analytics and financial modeling
I'm always interested in discussing:
- ๐ Advanced analytics and statistical modeling
- ๐ฐ Financial technology and fintech innovations
- ๐ค AI/ML applications in finance
- ๐ฎ Quantum computing in financial services
- ๐ฑ ESG analytics and sustainable finance
Feel free to reach out for collaborations, opportunities, or just to chat about data science and finance!
Check out my curated list of resources for aspiring data scientists and financial analysts: