AI & Data Analytics Intern

• Engineered an end‑to‑end pipeline that parses 100+ MDX posts, generates podcast‑grade MP3s (OpenAI TTS + ElevenLabs), GPT‑4o summaries and vector embeddings, persisting assets to S3 and an FAISS index: fully scripted in Python, TypeScript, and AWS CDK.
• Integrated the output into the Next.js and Tailwind site: each article now renders an auto‑generated TL;DR, a share‑ready social copy for each platform, and top‑K related‑article links delivered through a lightweight API, drastically boosting content discoverability and cutting manual marketing steps.

Senior Consultant

• Worked directly with clients throughout Indiana to identify challenges and drive business improvements, and supported the implementation of practical, scalable solutions to improve performance and efficiency.
• Conducted in-depth research, analyzed business operations, assessed areas for digital transformation and strategic development, and used data-driven insights to craft and recommend tailored solutions.
• Engaged with 10+ business owners and teams across various industries to deliver meaningful and measurable impact.

Graduate Teaching Assistant

• Associate Instructor for two graduate level courses INFO-I 590: Topics in Informatics - Data Visualization under Prof. Goren Gordon and INFO-I 513: Usable Artificial Intelligence under Prof. Filipi Silva.
• Assisting 100+ graduate students in teaching advanced data visualization, artificial intelligence, and machine learning techniques using Python and its libraries, conducting weekly help sessions, and providing guidance on course projects/assignments, exams, and quizzes.

Data Scientist

• Led geospatial analysis for the Indiana Energy Independence Fund using Python and GeoPandas, to identify 745 solar sites from Indiana GIS Data Harvest, and cluster 197 top locations based on economic impact and solar potential.
• Developed an interactive mapping platform with Folium and C#, utilizing the Google Solar API to provide detailed solar insights, and projected energy savings of up to 25% per site, enabling optimized site selection for 12 key regions.

Research Assistant

• Worked as a research assistant under the guidance of Prof. Lucy Yan, Operations and Decisions Technologies, Kelley School of Business, IU Bloomington.
• Performed temporal network and topic modeling analysis on over 145,000 posts and 623,000 comments from the r/depression subreddit to explore community structures and engagement trends.
• Applied Latent Dirichlet Allocation (LDA) to identify 5 key themes in mental health discussions over a three-month period revealing that 30% of user interactions focused on existential despair, social isolation, and emotional turmoil.
• Created temporal networks to map community structures and develop a content-content network using Louvain method and Fruchterman-Reingold force-directed algorithm.

Data Analyst Intern

• Developed a "Heart Disease Prediction System" using machine learning, analyzing a dataset of 30710 patient records with 14 medical attributes achieving a 93.44% accuracy using Support Vector Machines (SVM).
• Conducted comprehensive exploratory data analysis (EDA) on the web-scraped dataset by employing statistical techniques for data cleaning and preprocessing, improving data quality by 98% & identifying 5 key predictive features.
• Deployed an interactive web application using Streamlit and Python to predict heart disease risk based on user-input medical parameters, reducing diagnosis time by 60%. Presented findings at the internship pitch night, securing first place among 50+ participants and received winner certificate for innovative application of data science in healthcare.

Master of Science in Data Science

GPA: 3.90 / 4.00

Coursework:

• CSCI-B 565: Data Mining
• CSCI-P 556: Applied Machine Learning
• STAT-S 520: Introduction to Statistics
• ILS-Z 639: Social Media Mining
• DSCI-D 532: Applied Database Technologies
• INFO-I 513: Usable Artificial Intelligence
• INFO-I 590: Data Visualization
• DSCI-D 592: Data Science in Practice
• CSCI-B 651: Natural Language Processing
• CSCI-Y 799: Computer Science Colloquium

Bachelor of Engineering in Information Technology

GPA: 9.31 / 10.00

Coursework:

• 3130702: Data Structures
• 3130703: Database Management Systems
• 3140708: Discrete Mathematics
• 3150703: Analysis and Design of Algorithms
• 3161605: Software Engineering
• 3161607: Big Data Analytics
• 3161610: Data Warehousing and Mining
• 3161613: Data Analysis and Visualization
• 3171614: Computer Vision