Hello!
I am currently pursuing a Master in Computer Science at Illinois Institute of Technology, focusing on Data Analytics and Generative AI. I have experience in data analysis, exploratory data analysis (EDA), statistical modeling, and machine learning, with proficiency in Python, PyTorch, and SQL.
I have worked on impactful projects, including AI-powered text data processing, stock price forecasting using LSTMs, and Power BI-based company performance reporting.
0 + Projects completed
Driven Computer Science graduate student with a strong focus on data science and machine learning. Proficient in statistical analysis, machine learning algorithms, and data-driven problem solving, with hands-on experience in developing impactful projects and solutions.
Leap of Faith® Technologies develops AI-driven healthcare tools, analytics, and education solutions to accelerate innovation and improve patient care.
Learntricks Edutech provides industry-aligned training, internships, and mentorship in coding, data science, and software development.
ISRO pioneers space exploration and innovation, transforming India into a global leader in satellite technology, planetary missions, and scientific advancements for the benefit of humanity.
GPA: 4/4
GPA: 4/4
Below are my projects.
Implemented data transformation pipeline to convert FHIR and Synthea datasets into the OMOP Common Data Model, enabling standardized clinical research and interoperability. Integrated PostgreSQL with OHDSI ATLAS/WebAPI using R, supporting cohort analysis and real-world evidence generation.
This pipeline automates the process of uploading files to Google Cloud Storage (GCS) and loading the data into Google BigQuery
Stock Vision is a machine learning-powered web application developed in Python that predicts stock prices using LSTM model
Designed a power bi dashboard that visualizes key performance metrics for multiple plants. It is built using Python, Streamlit, Pandas, and Plotly. The dashboard provides insights into plant performance, including production efficiency, downtime, and other critical metrics
Analyzed transportation safety data from the Chicago Data Portal using Python to support public transit risk assessment, and developed impactful visualizations in Power BI for data-driven decision-making
Built a Python-based tool using Groq, Langchain, and Streamlit that scrapes job listings from a company’s careers page URL and generates personalized cold emails for outreach
Below are the details to reach out to me!
Chicago, IL