
Neha Mittal
@nehamittal
Data scientist at PayPal building seller-side bundling recommendations and anomaly detection systems.
What I'm looking for
At PayPal, I’m building a seller-side bundling recommendation system that scores suggestions by confidence, helping the operations team focus review time where it matters. I also built an anomaly detection system for appeals data to flag high-risk patterns.
At Microsoft, I fine-tuned transformer-based intent classification models for Copilot enterprise search and built PyTorch and Azure ML pipelines to evaluate and retrain models. I also ran production experiments and latency benchmarks to measure changes in accuracy, relevance, and inference time.
Earlier, I worked on device power management optimization at Apple and built an LLM-based chat tagging pipeline during my Microsoft internship. I’m interested in production-ready machine learning, generative AI, and large-scale retrieval systems that change how decisions get made.
Experience
Work history, roles, and key accomplishments
Building a seller-side bundling recommendation system using logistic regression for confidence scoring. Developed statistical and ML-based anomaly detection for appeals data to flag high-risk patterns and improve investigator throughput.
Fine-tuned transformer-based intent classification models for Copilot's enterprise search, improving query relevance and satisfaction. Ran large-scale A/B experiments and latency benchmarks, and built PyTorch and Azure ML pipelines for model evaluation and retraining.
Wrote optimization algorithms for device power management, reducing latency and improving energy efficiency at the system level.
Built a rich-tag extraction pipeline for enterprise chat data using LLM-based keyword extraction and TF-IDF scoring. Deployed and evaluated the pipeline on Azure ML and Spark, improving tag precision and relevance across over 50,000 internal chat samples.
Built a generative AI summarization tool using GPT-3 with a Python NLP backend and AngularJS frontend, reducing average summary time by 60%.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani - Hyderabad Campus
Bachelor of Engineering, Electrical and Electronics Engineering
2020 - 2024
Grade: CGPA 9.46/10
Activities and societies: Chancellor's Bronze Medal, Merit Scholarship
Pursued a Bachelor of Engineering in Electrical and Electronics Engineering with a minor in Computing and Intelligence, graduating with a CGPA of 9.46/10 and ranking 3rd in the class of 2024.
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