Open to opportunities

DeepaliSharma

AI Engineer · Large-scale data processing and analysis (terabytes to petabytes) · Machine learning & deep learning model development (Scikit-learn, Keras, XGBoost, LSTM, CNN)

Setauket, USOn-site
AI EngineerData ScientistMachine Learning Engineer
01 — Positioning

Where Deepali is headed.

Deepali transitioned from fundamental physics research to applied data science, leveraging 12+ years of expertise in analyzing massive datasets and building ML pipelines. She combines rigorous scientific methodology with modern ML/DL techniques to solve complex real-world problems in healthcare, finance, and sustainability.

What Deepali brings
  1. 01Large-scale data processing and analysis (terabytes to petabytes)
  2. 02Machine learning & deep learning model development (Scikit-learn, Keras, XGBoost, LSTM, CNN)
  3. 03Scientific computing and statistical analysis with rigorous methodology
  4. 04Data pipeline architecture (Bash, Perl, C++, SQL) on HPC clusters
  5. 05Cross-functional collaboration and mentorship in complex technical environments
02 — Proof

The receipts.

Numbers first. Every metric below is something Deepali shipped or drove — not a claim, an outcome.

  • Proof 01
    Built automated daily monitoring pipeline (cron-based) predicting solar activity and space weather across multiple detector locations
    Cosmic Muon Monitoring System
  • Proof 02
    Processed terabytes of experimental data using HPC clusters; published results in leading peer-reviewed journal
    Jefferson Lab RICH Detector Analysis
  • Proof 03
    Delivered multiclass classification models (Random Forest, XGBoost) and CNN-based image classification achieving high recall metrics
    ML Classification Projects
  • Proof 04
    Analyzed petabytes of heavy-ion collision data; published as primary author in leading physics journals
    PHENIX Experiment Data Analysis
03 — Role fit

Operating range.

Where Deepali plugs in fastest — sorted from strongest fit to adjacent. Not a wishlist; a routing map.

  • primary fit
    Data Scientist
    Senior
  • primary fit
    Machine Learning Engineer
    Senior
  • secondary fit
    Analytics Engineer
    Senior
  • adjacent fit
    Data Engineer
    Mid