Hardik Pachgade
Machine Learning Engineer
Mumbai
Summary
Full Stack Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in Traditional ML and Natural Language Processing with demonstrated history of discovering methods to intelligently leverage data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.
Overview
2
2
years of professional experience
4
4
years of post-secondary education
Work History
Machine Learning Engineer
Quantiphi
Mumbai
07.2021 - Current
- Researched, designed and implemented machine learning applications to solve business problems affecting 50 Million users worldwide.
- Designed, implemented and evaluated new models and rapid software prototypes to solve problems in machine learning and systems engineering.
- Minimized cost and prediction compute time on large dataset of 40 Million rows by reducing compute time by 60%.
- Developing end to end model building and inference pipelines on predictive analytics of large insurance-based data.
- Orchestrating and scaling Machine learning Pipelines from development to deployment in production using MLOps framework
- Data wrangling, processing, training model and storing predictions using AWS, Datarobot, Snowflake
Senior Analyst – Software Engineer
Capgemini
Mumbai
09.2020 - 07.2021
- Developed Full Stack Employee Wage Management web application used by 1500+ employees in company.
- Responsible for optimizing microservices by improving latency and automation tasks of mail services and database manipulations
- Complete ownership of developing an application in 4 months working in Agile environment
- Designed a large scale database and backend services improving the latency and performance of application by 50%
Data Science Intern
Dun & Bradstreet India
Mumbai
01.2020 - 07.2020
- Developed Demand Projection Model using Time Series Forecasting for International Travel based Company
- Developed Semantic Match Engine model using Natural Language Processing (Internal Product) by improving accuracy to 85%
- Implement research papers for NLP based use cases.
- Data acquisition and aggregation and wrangling of big data.
Education
Bachelor of Engineering - Computer Engineering
University of Mumbai
Mumbai, MH 05.2016 - 05.2020
Skills
Python, Java, SAS
Timeline
Machine Learning Engineer
Quantiphi
07.2021 - Current
Senior Analyst – Software Engineer
Capgemini
09.2020 - 07.2021
Data Science Intern
Dun & Bradstreet India
01.2020 - 07.2020
Bachelor of Engineering - Computer Engineering
University of Mumbai
05.2016 - 05.2020
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