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Senior Applied Data Scientist | Agentic AI | NLP, LLM & SML | Recommendation Systems
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Senior Data Scientist & Machine Learning Engineer with 11+ years of expertise in data science engineering, building & managing teams, owning & developing large scale reliable & scalable recommendation systems, large language models, small language models, end-to-end data science models, machine learning algorithms and data pipelines using Python, Spark, Java.
Udacity
Machine Learning Engineer Nanodegree Program, Statistics and Computer Science
January 1, 2017 – January 1, 2017
University of Mumbai
Master of Computer Applications (MCA), Mathematics and Computer Science
January 1, 2011 – January 1, 2014
University of Mumbai
Bachelor of Science (B.Sc.), Mathematics, Statistics, and Information Technology
January 1, 2008 – January 1, 2011
Self Employed
Senior Data Scientist & Machine Learning Engineer
December 1, 2024 – Present
San Diego, California, United States · Remote
Microsoft
Applied Data Scientist II
April 1, 2022 – October 1, 2024
Microsoft
Applied Data Scientist II
December 1, 2021 – April 1, 2022
Microsoft
Applied Data Scientist I
March 1, 2020 – November 1, 2021
Adobe
Consultant Data Scientist
August 1, 2019 – February 1, 2020
Bengaluru, Karnataka, India · Hybrid
Deloitte India (Offices of the US)
Data Scientist & Technical Consultant, Analytics & Cognitive Science
July 1, 2018 – August 1, 2019
Hyderabad, Telangana, India · Hybrid
Persistent Systems
Senior Software Engineer
August 1, 2014 – June 1, 2018
Pune · On-site
Samsung Bixby Analytics
March 1, 2017 – June 1, 2018
Analysis of Speech Data and application of Machine Learning algorithms on the data to obtain meaningful insights and increased efficiency over the current system.
Data Lake Construction and Informatica Migration to Big Data Stack
September 1, 2016 – March 1, 2017
Movement of data from data warehouse into a data lake so that different Hadoop Ecosystem tools like Hive, Presto, Spark, etc. can use the data for analysis. Simultaneously, replacing Informatica tool with the Big Data Stack which would load data from warehouse, perform transformations similar to Informatica mapping in Spark and store the result in a NoSQL data store.
ShareInsights - A tool for Data Scientists
January 1, 2014 – September 1, 2016
A unique platform that allows organizations to analyze an overlay of enterprise data with public or cloud sources to derive meaningful insights. An open platform, ShareInsights enables users to mine meaningful insights from the data sources that matter to them and share them with a wide audience. Users can quickly and easily on-board new use cases and summarize large volumes of unstructured data
REST API
HackerRank
June 24, 2026 – Present
SQL
HackerRank
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 24, 2026 – Present
Microsoft Hackathon 2020
Microsoft
June 24, 2026 – Present
Core Java 7/8
HackerRank
June 24, 2026 – Present
Adobe Professional - Adobe Analytics Developer
Adobe
June 24, 2026 – Present
Fundamentals of NoSQL Data Management
Couchbase
June 24, 2026 – Present
Oracle Certified Professional, Java SE 6 Programmer
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across multiple companies (Microsoft, Adobe, Deloitte, Persistent Systems) and roles demonstrates adaptability and exposure to different organizational cultures. The projects involve both individual contributions and integration into larger systems, suggesting a collaborative approach. The breadth of technologies and problem domains (from Bixby analytics to financial risk modeling) indicates a willingness to tackle varied challenges, aligning well with dynamic environments. The Udacity Nanodegree and various certifications show a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate's resume highlights a strong problem-solving orientation, evidenced by initiatives like developing SLMs to overcome GPU training costs and optimizing models for specific business outcomes (e.g., PDF model for loan defaulters). Their work on automating processes (resume screening, data quality telemetry) suggests an efficiency-driven mindset. The descriptions imply an ability to work with complex systems and integrate various technologies, indicating good operational fit for senior roles.