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Lead Data Scientist with 6+ years in Machine Learning, AI & Advanced Analytics
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Assessing your cultural and operational fit
Data Scientist with 5+ years of experience leveraging machine learning and advanced analytics to drive business value. Proven ability to architect scalable data pipelines, develop predictive models, and implement AI-powered solutions that reduce latency by up to 96% and improve forecasting accuracy by 18%. Expertise in Python, PySpark, LLMs, and A/B testing, with a strong track record of enhancing decision-making, optimizing pricing strategies, and driving significant cost savings and revenue uplift for leading tech and automotive companies. Eager to apply these skills to labor market insights at your organization.
State University of New York
Master of Science · Computer Science
August 1, 2021 – June 30, 2022
University of Mumbai
B.E. · Electronics & Telecommunication Engineering
August 1, 2014 – June 30, 2018
Amazon
Business Intelligence Engineer
November 1, 2024 – Present
San Francisco, California, United States
Microsoft
Data Analyst
February 1, 2023 – November 1, 2024
San Francisco, California, United States
Oracle Red Bull Racing
Data Scientist
August 1, 2022 – January 1, 2023
San Francisco, California, United States
Tata Communications Ltd
Data Scientist
June 1, 2018 – January 1, 2021
San Francisco, California, United States
Cultural Fit Analysis
The candidate has worked in diverse, high-performance environments (Amazon, Microsoft, Oracle Red Bull Racing, Tata Communications), suggesting adaptability and a results-oriented mindset. The breadth of projects, from real-time Edge AI to financial reporting and customer feedback, indicates a versatile and curious individual who can thrive in dynamic settings. The focus on driving business value aligns well with a performance-driven culture.
Soft Skills & Operational Fit
The candidate's resume highlights strong collaboration with cross-functional stakeholders, leadership in model development, and a focus on business impact, indicating good operational fit and potential for leadership in a data science team. The ability to translate complex technical solutions into tangible business value suggests strong communication and problem-solving skills.