I'm Afsha, a 🤖 Data Scientist & AI Enthusiast who loves building intelligent systems that solve real problems. Naturally curious and detail-driven, I care deeply about understanding the why behind every model — not just the output.
On the technical side, I'm deeply invested in Machine Learning, Deep Learning, Generative AI, and Computer Vision. I love working end-to-end — from raw data wrangling and model training to deploying live applications on cloud platforms.
I recently completed my M.Sc. in Data Science from Aligarh Muslim University — and I'm just getting started. Every project since has been about pushing what I know further and building things that matter.
End-to-end agentic retrieval-augmented generation pipeline with multi-hop reasoning, tool-use, and dynamic context retrieval — grounded in knowledge bases for accurate, traceable answers.
A six-stage multi-model fusion pipeline using Florence-2-Large, BLIP ITM, and Qwen2.5. Evaluated on Flickr8k benchmark (8,091 images). Deployed on HuggingFace Spaces.
Classified news as real or fake using TF-IDF vectorization across Logistic Regression, SVM, Naive Bayes, and Decision Tree with comparative evaluation and visualization.
Analyzed cryptocurrency trading behavior integrating Hyperliquid data with the Crypto Fear & Greed Index to uncover how market sentiment influences trader profitability.
Dept. of Statistics & Operations Research
Aligarh Muslim University (AMU)
I.P. College (Campus-2)
CCS University
LangChain