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Ishree1429/README.md

Hi, I'm Tanushree 👋

I'm a Master's in Data Science student at Illinois Tech, focused on Applied AI and ML systems — building things that actually ship, not just notebooks that run once.

Right now I work across three threads:

  • Healthcare AI — AI Research & Software Developer at LEAD AI Chicago, in collaboration with AbbVie, building cohort-analysis workflows on large-scale clinical treatment data (SQL, Hive, Impala, survival analysis).
  • Forecasting systems — leading a small team on a multi-department LSTM forecasting pipeline at Labelmaster, integrating external freight and economic indicators.
  • Generative AI & agents — building transformer language models from scratch and AI agent systems with explainable scoring and feedback-driven learning.

What I'm building publicly

🤖 ai-music-recommendation-agent — An AI agent that personalizes music recommendations using personality, mood, and feedback loops. Modular Python, CLI-driven, with explainable scoring logic.

🧠 gpt2-model-project-tanushree — A mini-GPT built from scratch on song lyrics with style-token fine-tuning. Reached perplexity 4.80, next-token accuracy 53.9% (character-level).

Stack

Languages: Python, SQL, R, PySpark ML / AI: LSTM, XGBoost, Transformers, Vector Embeddings, FAISS, Survival Analysis, Time-Series Forecasting Data & Cloud: Apache Spark, Spark Streaming, AWS (EMR, S3), Hive, Impala, ETL Pipelines Tools: Docker, Git, Firebase, PostgreSQL, MySQL, Cloudera

Currently

🎯 Open to Applied AI / ML Engineer roles — internship and full-time, Spring/Summer 2026. 📫 Reach me at tsharma1429@gmail.com · LinkedIn

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  1. ai-music-recommendation-agent ai-music-recommendation-agent Public

    AI-powered music recommendation agent that personalizes therapeutic music suggestions using user personality, mood signals, and feedback-driven learning with explainable scoring logic.

    Python

  2. gpt2-model-project-tanushree gpt2-model-project-tanushree Public

    Mini-GPT transformer built from scratch with style-token fine-tuning. Perplexity 4.80, next-token accuracy 53.9% (char-level).

    Python

  3. Ishree1429 Ishree1429 Public