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Delivery Manager | Delivering Business Growth Through AI & Data-Driven Solutions
With 18+ years of delivering transformative, revenue-boosting technology solutions across banking, finance, and enterprise data ecosystems. I bring a rare blend of deep domain expertise in Delivery & Project Management and cutting-edge proficiency in Data Science, Machine Learning, and Cloud Engineering. I've led high-performing teams (30+ developers) across global projects, steering multi-million-dollar engagements for top-tier clients — including Central Bank of India, Union Bank, and Kuwait Finance House. At LUMIQ, I currently lead critical initiatives in data lake architecture, cloud migration, and AI/ML implementations, ensuring scalability, performance, and stakeholder satisfaction. Previously, at FIS, TCS, and Accenture, I successfully delivered data science and analytics-driven projects across 12+ banks, including fraud risk solutions generating $15M+ in revenue. Core Competencies: AI/ML | Predictive Modeling | NLP | IBM Watson Python | Java | Cloud (AWS) | Data Engineering Agile, Scrum & Scaled Delivery Frameworks Cross-functional Leadership | Global Stakeholder Engagement Certified in MIT’s Applied Generative AI, AWS Cloud, and PMI CAPM — with formal training in Big Data Analytics from S.P. Jain School of Global Management. I’m passionate about building intelligent, future-ready solutions that solve real business problems, drive measurable outcomes, and elevate client success. Let’s connect and explore how we can innovate together.
MIT Professional Education
Applied Generative AI for Digital Transformation, Generative AI
February 1, 2025 – Present
S P Jain School of Global Management
Big data and Analytics
January 1, 2016 – January 1, 2017
FIS
Delivery Head - Enterprise Fraud Solutions
September 1, 2025 – Present
Mumbai Metropolitan Region
LUMIQ
Project Delivery Manager
April 1, 2024 – August 1, 2025
Mumbai, Maharashtra, India
FIS
Delivery Manager-Data Science
March 1, 2021 – July 1, 2024
FIS
Senior Data Scientist
July 1, 2019 – July 1, 2024
Tata Consultancy Services Limited Pune
Associate Consultant
March 1, 2018 – July 1, 2019
Accenture
Application Developer Team Lead(Machine Learning)
May 1, 2017 – March 1, 2018
Mumbai Metropolitan Region
Ness Technologies
Lead-Development
November 1, 2010 – August 1, 2016
Mumbai
Mphasis
Senior Software Engineer
February 1, 2010 – November 1, 2010
Mumbai Metropolitan Region
Oracle Financial Services Software Limited
Software Engineer
April 1, 2007 – February 1, 2010
HSBC
Software Engineer
August 1, 2006 – May 1, 2007
Pune
Applied Text Mining in Python
Coursera
June 24, 2026 – Present
Data Science Methodology
Coursera
June 24, 2026 – Present
Certified Generative AI Specialist (CGAI)
Chartered Institute of Professional Certifications
June 24, 2026 – Present
Databases and SQL for Data Science
Coursera
June 24, 2026 – Present
What is Data Science?
Coursera
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Data Analysis with Python
Coursera
June 24, 2026 – Present
Introduction to Data Science Specialization
Coursera
June 24, 2026 – Present
Open Source tools for Data Science
Coursera
June 24, 2026 – Present
Intro to Python for Data Science
DataCamp
June 24, 2026 – Present
Introduction to R
DataCamp
June 24, 2026 – Present
Applied Generative AI for Digital Transformation
MIT Professional Education
June 24, 2026 – Present
Applied Machine Learning in Python
Coursera
June 24, 2026 – Present
VTC Online Training on Data Analytics
Internshala
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning multiple companies (FIS, LUMIQ, TCS, Accenture, Ness, Mphasis, Oracle, HSBC) and roles, from software engineer to delivery head. Their experience in FinTech and AI/Data Analytics aligns with a forward-thinking, data-driven culture. However, the recent shift towards pure project/delivery management roles might indicate a reduced hands-on coding focus, which could be a cultural fit consideration for a strictly 'Backend Engineer' role requiring deep technical contribution.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and stakeholder communication skills through various delivery and management roles. Their experience in Agile methodologies and CI/CD pipelines suggests a good operational fit for dynamic development environments. The ability to translate complex technical concepts into actionable insights and manage budgets indicates strong business acumen.