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Machine Learning engineer helping companies one automation at a time. Ex BCG Data Scientist
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Assessing your cultural and operational fit
Machine Learning Engineer with focus on building and deploying language focused learning models in production environments.
Plaksha University
Tech Leaders Program, Machine Learning
January 1, 2019 – January 1, 2020
Cochin University of Science and Technology
Bachelor of Technology (B.Tech.), Mechanical Engineering
January 1, 2011 – January 1, 2015
Sopa Claims
Co-Founder
January 1, 2026 – Present
Mumbai, Maharashtra, India
Catapult Technologies
Co-Founder
December 1, 2022 – Present
Mumbai, Maharashtra, India · On-site
Plaksha University
Teaching Assistant
July 1, 2021 – January 1, 2022
Boston Consulting Group (BCG)
Data Scientist
February 1, 2021 – November 1, 2022
Delhi, India
SunTec Business Solutions
Machine Learning Consultant
January 1, 2019 – July 1, 2019
Thiruvananthapuram, Kerala, India
SalesX.io
Machine Learning Engineer
August 1, 2017 – October 1, 2018
Bangalore
Datalog.ai
Machine Learning Engineer
September 1, 2016 – August 1, 2017
Kerala Startup Mission
Technology Innovation Fellow
June 1, 2015 – June 1, 2016
Kochi
Google Summer of Code Fellow
April 1, 2014 – August 1, 2014
Haggler Android App
May 1, 2014 – Present
Haggler is a marketplace app for lending and selling books. It was the winning entry for AngelHack Kochi. How this idea came to be? When I was a kid, I used to think what was the use of saving this big bookshelf at home. It is useless, because we rarely use it, and takes a lot of space at home. Also, as a kid I was badly in need of pocket money, so this bookshelf was my aim. Later, when I went to the college I was in need of books like MicroEconomics (Rs 3000 for 83 pages), that time I was in-search of my seniors who left college. So, we came to this. This app is a geo location based BARTER system for books.
Cultural Fit Analysis
The candidate demonstrates a strong drive for innovation and problem-solving, evidenced by co-founding multiple companies and participating in programs like AngelHack and Google Summer of Code. Their experience spans various industries (automotive, FinTech, customer support) and roles (Data Scientist, ML Engineer, Consultant, Co-Founder), indicating adaptability and a broad perspective. The involvement in teaching and community building (Kerala Startup Mission) suggests a willingness to share knowledge and contribute to a larger ecosystem. The transition from Mechanical Engineering to Machine Learning/Data Science shows a proactive approach to skill development and career alignment. The target role of 'Data Analyst' is a slight mismatch with the candidate's senior-level Machine Learning/Data Science background, which might indicate overqualification or a desire for a different type of challenge. However, the core analytical and data-driven skills are highly relevant.
Soft Skills & Operational Fit
The candidate's entrepreneurial background as a co-founder at multiple companies, coupled with experience leading teams and consulting, suggests strong leadership, initiative, and problem-solving skills. The project descriptions indicate a focus on real-world business problems and delivering tangible results. The role as a Technology Innovation Fellow and Google Summer of Code Fellow also points to a collaborative and innovative mindset. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.