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VP, Data Scientist
I’m an accomplished Leader in the Data Science field with experience in the Financial Services, Consulting, Technology and Utilities sectors and a proven track record of delivering data projects and creating commercial products and solutions through the application of A.I. and machine learning techniques that drive change, solve problems improve decision making and impact the bottom line. I have acquired deep expertise in sourcing and managing ESG and climate change related data as well as the associated challenges with data quality. I also excel at visual communication (web apps, interactive graphs, dashboards) and thinking from user perspective which I believe is a significant last mile hurdle in user adoption in most machine learning solutions today. I hold an MBA in Marketing and Bachelors in Electronics & Telecom Engineering. Some of the areas that I have expertise in - ESG Data Science, Natural Language Processing, Geo-spatial intelligence, Sensor Data Analytics Key Strengths: • ESG & Climate Change data • Alternate data • Strategy & Planning • People Management • Business Analysis • Research • Innovation • Agile • Visual Storytelling Technical Skills: • Python ML: Sklearn models, Xqboost • Deep Learning: Natural Language Processing (BERT), CNN • Cloud: Azure Databricks, Azure Delta Lake, AWS Athena • SQL • Model Deployment: ML Ops • Visualisation: Power BI, Tableau, Streamlit • POC Development/Wireframing Outside of work: I like playing Badminton to stay active and turn to music to unwind. Among musical instruments, I play the Guitar and the Indian Flute.
Symbiosis Institute of Business Management
MBA, Business Management
January 1, 2009 – January 1, 2011
P.V.G's C.O.E.T
B.E., Electronics & Telecommunication
January 1, 2003 – January 1, 2007
BlackRock
Vice President
March 1, 2025 – Present
London Area, United Kingdom · On-site
Preqin
ESG Data Scientist (Lead Data Scientist)
December 1, 2022 – Present
London, England, United Kingdom · On-site
M&G plc
Lead Data Scientist (Full Stack Data Scientist)
April 1, 2019 – December 1, 2022
London, United Kingdom
Prudential Global Services Private Limited
Manager - Artificial Intelligence & Advanced Analytics COE
January 1, 2019 – March 1, 2019
Prudential Global Services Private Limited
Deputy Manager - Artificial Intelligence & Advanced Analytics COE
January 1, 2018 – December 1, 2018
Prudential Global Services Private Limited
Assistant Manager - Analytics
July 1, 2016 – January 1, 2018
Acrotrend
Consultant (Analytics)
January 1, 2015 – July 1, 2016
Mumbai Area, India
Birlasoft
Manager - Mfg Analytics & Data Science
March 1, 2013 – December 1, 2014
Birlasoft
Manager - Manufacturing & Hi-Tech
May 1, 2011 – March 1, 2013
Wipro Technologies
Business Analyst (Summer Intern)
April 1, 2010 – June 1, 2010
Symbiosis Institute of Business Management Pune
MBA Marketing & Operations
June 1, 2009 – May 1, 2011
Pune Area, India
Metric Consultancy, Pune
Market Researcher
December 1, 2008 – May 1, 2009
Infosys Technologies Ltd
Software Engineer
June 1, 2007 – August 1, 2008
Pune Area, India
Statistical Learning
Stanford University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning various roles from software engineering to data science leadership across different companies and industries (telecom, manufacturing, financial services). This breadth of experience suggests adaptability and a willingness to tackle varied challenges. Their focus on ESG data science indicates an alignment with socially responsible and forward-thinking initiatives, which could be a strong cultural fit for organizations prioritizing such areas. However, the target role is 'Data Analyst' while the candidate's recent experience is at a 'Lead Data Scientist' or 'VP' level, which might indicate a potential mismatch in scope or seniority expectations for the target role.
Soft Skills & Operational Fit
The candidate's resume highlights experience in managing multiple functions, engaging with clients, and building POCs, indicating strong leadership, strategic thinking, and communication skills. Their role as a 'full-stack data scientist' suggests an ability to translate complex technical concepts into business value, which is crucial for operational fit in a senior data role. Experience in market research and business analysis further supports strong analytical and problem-solving capabilities.