Resume

• Led a team to develop a FinTech RAG model, integrating LLMs with real-time data retrieval for financial analysis. Focused on architecture design, pipeline optimization, and NLP.
• Built a stock price prediction model using time series analysis and LSTM neural networks.
• Used SQL for data cleaning, feature engineering, EDA, and advanced querying to derive insights and standardize data.

• Designed and developed interactive Power BI dashboards to track and visualize sales performance.
• Managed Excel spreadsheets to monitor raw material inventory and finished goods movement, ensuring accurate record-keeping.
• Conducted client meetings to understand business requirements, present insights, and provide data-driven recommendations.

• Collaborated on building machine learning models achieving 90% average accuracy
• Integrated frameworks to support advanced AI capabilities, enhancing model robustness and scalability

Relevant Coursework:
• Big Data Tools
• Neural Networks and Deep Learning
• Big Data Algorithm and Statistics
• Big Data Visualization
• NLP and Social Media Analytics

• Demonstrated strong academic performance with high scores in mathematics courses(85%).
• Department Representative for First-Year Students - Organized events, communicated with faculty, and supported first-year students by addressing their concerns and sharing important information.