Detail-oriented and driven entry-level software engineering professional with an organized nature, customer-focused mindset, and good critical thinking skills. Talented troubleshooter and problem-solver. Familiar with code review, performance evaluation, and project coordination tasks.
Portfolio Management Using Machine Learning Techniques Fall’23
● My experience includes developing and implementing a portfolio management methodology that utilizes machine learning techniques, specifically the ARIMA model.
● By incorporating time series and NLP, I enhanced the accuracy of buying, selling, and managing the portfolio, resulting in greater returns and risk mitigation.
● Achieved validation greater than 60% accuracy, improving the portfolio's overall performance.
Walmart Sales Forecasting Spring’23
● By conducting multiple linear regression analyses, I produced accurate sales forecasts and identified opportunities for enhancing sales prospects using statistics.
● Furthermore, I leveraged these analyses to anticipate inventory planning for essential departments and suggested necessary measures to improve business revenue.
● My forecasts displayed an impressive accuracy rate of 84.5% in estimating weekly sales, which proved invaluable for precise inventory and sales planning.
Leveraging LangChain and OpenAI for Enhanced Financial News Insights Spring’22
● Procured financial news articles and performed text preprocessing, sentiment analysis, and entity recognition
using LangChain
● Utilized LangChain and the OpenAI API to develop and train models for generating concise summaries and
sentiment analysis of financial news articles.
● Crafted StonksBot to deliver real-time insights into financial news, optimizing performance with the FAISS vector
base for efficient similarity searches
· Developed applications using LLMs for tasks such as text generation, summarization, and language translation, contributing to innovative AI-driven solutions.