Nishant Kumar
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI @Meta | ex-Uber
• I have 10+ years of industrial experience in developing end-to-end solutions using Machine Learning & AI. I have had the opportunity to present ML Research at multiple conferences including NeurIPS. I have won Awards/Prizes in various world-class ML Competitions. Balancing interests amongst three areas : Industry, Research & ML Competitions has helped develop all-round abilities in me to find/solve problems across a wide variety of domains and making me a curious learner to adapt to forever evolving ML industry & research. • Achieved Kaggle Competition Master's Tier (Top Tier Data Scientist/ Machine Learning Engineer, as rated by Kaggle/Google), in May 2015, with highest rank in top 0.1% out of 200k world-wide Machine Learning Engineers. More than 10+ years of Kaggle experience across a wide variety of Machine Learning Competitions w/ 1 Gold Medal, 7 Silver Medals & 4 Bronze Medals ( Kaggle profile attached ). • Presented at NeurIPS 2017 Competition track about our work on NeurIPS competition "Classifying Clinically Actionable Genetic Mutations", where we won the 2nd prize for the Most Innovative Solution. Our work mainly used techniques like Natural Language Processing, Deep Learning & Ensemble Modeling. • Research paper published in IEEE BigData'16 along with the Winning Prize from Bosch for the "Bosch Production Line Performance Challenge", Dec 2016 ( Media Coverage / Interview link attached ).
Stanford Continuing Studies
Organizational Leadership
January 1, 2024 – January 1, 2024
Indian Institute of Technology, Kharagpur
Master of Technology (M.Tech.), Thermal Science
N/A – Present
Indian Institute of Technology, Kharagpur
Bachelor of Technology (B.Tech.), Mechanical Engineering
N/A – Present
Meta
Staff Machine Learning Engineer / Tech Lead
February 1, 2020 – Present
Menlo Park, CA
Uber
Senior Data Scientist (Applied Machine Learning, UberEats)
July 1, 2016 – February 1, 2020
San Francisco Bay Area
Qeexo
Machine Learning Engineer
June 1, 2015 – July 1, 2016
Pittsburgh, Pennsylvania
Opera Solutions
Data Scientist
September 1, 2012 – May 1, 2015
Noida
Georgia Institute of Technology
Research Internship
May 1, 2011 – July 1, 2011
Atlanta, US
The University of Auckland
Research Internship
May 1, 2010 – July 1, 2010
Auckland, New Zealand
Cultural Fit Analysis
The candidate has worked in prominent tech companies (Meta, Uber) and a startup (Qeexo), demonstrating adaptability to different organizational cultures. Their diverse project experience across digital marketing, retail, finance, healthcare, e-commerce, and telecom sectors indicates a broad interest and ability to apply data science in various domains. The transition from Machine Learning Engineer/Tech Lead to a Data Analyst role might require a cultural adjustment, potentially focusing more on insights and reporting rather than solely model development and deployment, but their foundational skills are highly transferable.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead at Meta and Senior Data Scientist at Uber suggests strong leadership, problem-solving, and collaboration skills. Their involvement in recruiting and training at Qeexo further indicates mentorship and team-building capabilities. The descriptions highlight a results-oriented approach, focusing on incremental revenue and efficiency improvements.