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AI leader, xAmazon, xAmEx, xEntrepreneur
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highlights: - AI/ML Leader | 21+ Years of Experience - Unconventional thinker | Fosterer of high-performing teams - Results-driven leader | Expert in scaling organizations & driving innovation I thrive on tackling complex challenges, building cultures of continuous learning and fearless execution. My leadership style empowers teams to think outside the box, collaborate effectively, and deliver exceptional results. Key Strengths: - Solving ambiguous customer problems | Scaling organizations through effective leadership - Driving innovation in ML & AI applications | Delivering impactful solutions
Jawaharlal Nehru Vishvavidyalaya
Master's degree, Economics
January 1, 2002 – January 1, 2004
Delhi University
Bachelor's degree, Economics
January 1, 1998 – January 1, 2001
Nielsen
SVP, Applied Science, AI and ML Engineering
September 1, 2025 – Present
Gurugram, Haryana, India · On-site
Wells Fargo
Head Consumer Modelling Center
March 1, 2025 – August 1, 2025
Bengaluru, Karnataka, India · On-site
Resilient AI Solutions
Founder & CEO
January 1, 2022 – February 1, 2025
Greater Delhi Area · On-site
Amazon
Director, Machine Learning
April 1, 2015 – December 1, 2021
Hyderabad/ Bangalore / Gurgaon - India · On-site
Essex Lake Group
AVP, Data Science
September 1, 2014 – April 1, 2015
Gurgaon, India / Johannesburg, South Africa / Delaware, United States · On-site
American Express
Director, Data Science
January 1, 2006 – September 1, 2014
Gurgaon, India / New York, United States · On-site
HSBC
Data Scientist, Marketing
June 1, 2004 – December 1, 2005
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards leadership and innovation in data science and AI. Their experience spans large corporations and founding a startup, indicating adaptability and a broad perspective. While the target role is 'Data Analyst', their experience is significantly more senior, potentially leading to a mismatch in expectations or scope. Their background in economics and diverse industry experience (finance, retail, market research) suggests a broad understanding of business contexts, which could be a cultural asset.
Soft Skills & Operational Fit
The candidate's extensive leadership experience suggests strong strategic thinking, problem-solving, and team management skills. Their entrepreneurial background as Founder & CEO indicates initiative and business acumen. The progression through senior roles at major companies like Amazon and American Express implies strong operational leadership and ability to drive large-scale data initiatives.