Nilpa Jha

About Nilpa Jha

Nilpa is experienced Senior ML Engineer with a demonstrated history of working in the Internet, E-commerce, Retail, Pharma and Automation Industry. With emphasis on experimentation and implementation of novel methods, she has publication at KDD and ACCV. She was the Finalist at International Data Analytics olympiad 2019, and winner of other featured ML Hackathons.Skills :• Model Lifecycle : Web scraping, Data ingestion, Data Visualization, Feature engineering, Model Training and testing, Metric evaluation, Inferential statistics, Model versioning, Model deployment, Active learning, Machine Learning System, Distributed system• Tech stack : SQL, Python, Airflow, MLFlow, RESTful api, Elastic search, AWS, Java• Deep learning : GAN, Transformer, YOLO, Seq2Seq, siamese network, multi-modal learning, GraphNN • Computer vision : Image classification, Image generation, object detection. • NLP : Bag of words approaches, text classification, text similarity.• Classical ML Approaches: Gradient boosting, Random Forest, clustering, Linear Regressionwebsite: https://nsquare.github.io/

Experience

1. Machine Learning Engineer

   Google

   Nov 2021 — Present · Seattle, WA, US

   Experienced Applied Scientist at Google research, working on multimodal content understanding in collaboration with search and YouTube shorts

Education

• Lady Irwin Senior secondary school

  senior secondary school examination, Physics, chemistry, biology

• KTH Royal Institute of Technology

  Environmental physics

• Georgia Institute of Technology

  Master's degree, Computer Science, Machine Learning

  2019 — 2021

• Guru Gobind Singh Indraprastha University

  Bachelor of Technology (B.Tech.), Electronics and Communication Engineering

Skills

• Tensorflow
• R
• Illustrator
• Python
• Teradata
• Data Structures
• Azure Machine Learning
• Sql
• User Interface Design
• Pytorch
• Rshiny
• Wire Framing
• Storyboarding
• D3.js
• Algorithms
• C
• Statistics
• Tableau
• Rapid Prototyping
• C++
• Android