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Director - Data & AI - India & South Asia @ Microsoft
As the Data & AI leader for Microsoft Azure’s India and South Asia business , Swami leads a team of Sales and Technical (Architecture) Specialist to help customers in Enterprise , Digital Natives and Public Sector to adopt Azure’s marquee Data & AI offerings like Azure OpenAI , Azure AI Services , Azure Databricks , Microsoft Fabric , Azure AI Infrastructure, Azure SQL ,Azure Cosmos DB , SQL Server and among many others. As a senior leader Swami was responsible for AWS's Big Data Analytics and Machine Learning business in India & South Asia. Swami and his team at AWS worked with the country's most valuable Consumer Internet and SAAS Companies, Large Enterprises, Small & Medium Businesses and Start Ups to help them create value with data on the AWS cloud. Having led AWS's Private Equity practice and working closely with global and domestic Private Equity firms, Swami brings in a unique perspective for business value creation with analytics and machine learning. As the Head of Private Equity for India & South Asia , Swami was responsible for setting up AWS's Private Equity practice in India in late 2019. Swami worked closely with PE investors and their portfolio companies on value creation, digital modernization and innovation leveraging AWS. Swami has held Global and Regional P&L responsibilities for Cognizant's Data Science, AI & Analytics business. An innovator at heart, Swami also built - ModelEye - a Machine Learning model and data observability platform in 2014, when the concept was very new and a product ahead of its times. Swami was a part of the founding team that set up Equifax in India and was responsible for building the Data Platform and Product Portfolio for the consumer bureau and also launched India's first micro finance credit bureau. Swami also represented Equifax at the RBI's Data Quality Committee, which was tasked with improving data q
Sri Sathya Sai Institute of Higher Learning
MBA, General Management (Mergers & Acquisitions, Corporate Financial Strategies and eCommerce)
January 1, 2005 – January 1, 2007
University of Mumbai
B.E., Construction Engineering
January 1, 2000 – January 1, 2004
Microsoft
Director - Head - Data & AI - India and South Asia
September 1, 2024 – Present
India · On-site
Amazon Web Services (AWS)
Head - Analytics - Data & AI - India & South Asia
September 1, 2022 – September 1, 2024
Amazon Web Services (AWS)
Head - Private Equity -India
December 1, 2019 – August 1, 2022
Amazon Web Services (AWS)
Head of Big Data & Analytics - Enterprise Business- India
November 1, 2018 – December 1, 2019
Cognizant
World Wide Practice Leader- Data Sciences & Artificial Intelligence - BFSI
May 1, 2017 – October 1, 2018
Cognizant
Associate Director, Practice Leader - AI & Analytics - ASEAN - BFSI
January 1, 2016 – May 1, 2017
Cognizant
Senior Manager - EBA - Cognizant Analytics - BFSI
January 1, 2014 – January 1, 2016
Equifax
Asst. Vice President - Head of Data - India
February 1, 2010 – December 1, 2013
Mumbai Metropolitan Region
Dun & Bradstreet (D&B TransUnion Analytic and Decision Services Pvt. Ltd.)
Senior Business Analyst - Financial Infrastructure & Credit Bureaus- Middle East and Africa
May 1, 2007 – February 1, 2010
ESSAR Constructions Limited
Planning Engineer
June 1, 2004 – June 1, 2005
Hindustan Construction Company
Intern
January 1, 2004 – February 1, 2004
Mumbai
Effectiveness of SHG Bank Linkage Model in India
January 1, 2007 – Present
Studied the effectiveness of the SHG Bank Linkage Model ( A Micro finance Model) in India - highlighted the drawbacks and recommended a complete and holistic approach to make Micro Lending successful in India
Artificial Neural Networks
January 1, 2004 – Present
Artificial Neural Networks were used for 1. Predicting Pile Strength 2. Predicting Quantity Estimates of Raw Material basis Floor Plan 3. Predicting Wind Speeds for Mumbai Airport
Alternative Investments (Private Equity, Private Debt, Hedge Funds, Real Estate and Portfolio Management)
Harvard Business School Online
June 24, 2026 – Present
AWS TCO and Cloud Economics
AWS
June 24, 2026 – Present
AWS Technical Professional
AWS
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
CloudU - Cloud Computing Certificate
Rackspace Technology
June 24, 2026 – Present
Data Science Associate
Dell EMC
June 24, 2026 – Present
Project Management Professional (PMP)
Project Management Institute
June 24, 2026 – Present
International Certificate in Banking Risk & Regulation
Global Association of Risk Professionals (GARP)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career path demonstrates a strong drive for leadership and strategic roles within large organizations. Their project diversity, while limited to two personal projects, shows an interest in microfinance and neural networks. The breadth of skills is heavily skewed towards management, sales, and GTM for data and AI services, rather than hands-on data analysis. This profile suggests a strong fit for a leadership or strategic role in data and AI, but a poor cultural fit for a purely individual contributor 'Data Analyst' role, which typically requires deep technical execution and less strategic oversight.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at major technology companies suggests strong communication, strategic thinking, and operational management skills. Their history of building and leading teams, managing P&L, and driving GTM strategies indicates a high level of business acumen and ability to operate at a senior level. However, the target role is 'Data Analyst', which is a significant mismatch with their leadership and strategic profile. While they possess strong data domain knowledge, their operational fit for a hands-on analyst role is questionable given their career trajectory.