Built and compared ARIMA, Prophet, TimeGPT, and LSTM models in Python, achieving 95% directional accuracy on hold-out data and a 12% reduction in MAPE. Deployed top-performing model via Azure ML pipelines and AWS SageMaker endpoints for near-real-time predictions.

Developed end-to-end Spark pipelines and Airflow DAGs to engineer features and train XGBoost and logistic regression models—attaining 89% AUC. Integrated model scoring into client dashboards, enabling risk teams to monitor default probabilities in real time.

Designed data-collection architecture and Python-based analysis tools to compare FABRIK and neural network methods for robotic motion planning. Presented performance insights via Matplotlib visualizations, influencing algorithm selection in robotics coursework.

Engineered automated backtesting frameworks in Python (pandas, backtrader) for multi-asset strategies, securing a 1:2 risk-reward ratio and 60%-win rate. Developed machine learning pipelines (Random Forest, XGBoost, Neural Networks) in scikit-learn and TensorFlow, optimizing portfolio returns by 15% annualized.

Processed and analyzed real-time market feeds via AWS Kinesis, Redshift, and Azure Event Hubs, handling 5 GB+ of tick and end-of-day data daily. Implemented data pipelines that reduced latency by 70% and provided real-time insights for trading decisions.

Created interactive client dashboards with React, D3.js, and Tableau that elevated executive decision-making and improved user adoption by 50%. Design and deliver Power BI & Tableau dashboards for equity, options, and currency trading analytics—empowering stakeholders to boost P&L by 12%.

I'm enthusiastic about leveraging data to solve real-world problems through machine learning. With expertise in statistics, machine learning, and programming, I enjoy exploring intricate datasets, identifying patterns, and building predictive models showcased in various data science projects

Specializing in quantitative trading, I integrate behavioral finance, data-driven insights, and machine learning. As a data analyst in the dynamic financial markets, I craft systematic approaches for consistent returns while managing risk. Join me in exploring the exciting landscape of algorithmic trading.

I'm passionate about exploring human consciousness and behavior through psychology and cognitive science. By deciphering the factors influencing decision-making, I integrate insights with behavioral finance principles to illuminate the emotional drivers behind seemingly irrational financial decisions.

Explore my portfolio—a documentation of personal experiences, insights, and spiritual growth cultivated through meditation and self-growth. Beyond data science, I delve into profound questions shaping existence. Join me on a transformative journey into spirituality, philosophy, and life's interconnectedness in a data-driven world.

A business mindset is a holistic approach to navigating the complexities of the business world. It involves adopting attitudes such as an entrepreneurial spirit, being goal-oriented, and embracing adaptability. Individuals with this mindset prioritize a customer-centric approach, taking calculated risks and fostering innovation.

Community involvement is a diverse commitment to enhancing local or broader communities. It encompasses volunteering, engaging in events, and everyday actions that foster well-being, social capital, and educational empowerment, creating a symbiotic relationship for collective enrichment.