At Rocket Genie, I developed Python scripts to automate data extraction, preprocessing, and reporting workflows, reducing manual effort. I also analyzed business datasets with Python and SQL and designed interactive Power BI dashboards for KPIs and operational performance.
I built an AI Research Assistant using Python and basic LangChain, answering questions from uploaded PDFs with Retrieval-Augmented Generation. Its workflow used document chunking, embeddings, FAISS semantic retrieval, and a local language model through Ollama.
For my Enterprise User Behavior Analytics Platform project, I analyzed a synthetic dataset of over 2,000 enterprise user accounts and used SQL queries to support reporting and anomaly detection. I also created Power BI dashboards for user behavior, risk scores, and operational insights.
In my Facial Kinship Recognition System capstone, I developed a Siamese Convolutional Neural Network to predict biological relationships between facial image pairs. I used OpenCV for image preprocessing and augmentation, then evaluated model performance across multiple architectures and training strategies.
