Nisseem Nabar

Product Manager

Bengaluru, Karnataka, India15 yrs 2 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Led teams generating $2B+ in incremental revenue.
  • Built data science functions from scratch in fintech.
  • Drove AI-powered transformation for large enterprises.
Stackforce AI infers this person is a Data Science Leader specializing in Retail and Fintech analytics.

Contact

Skills

Core Skills

Data AnalyticsLeadershipPredictive ModelingStrategic Analytics

Other Skills

PersonalizationBusiness AnalyticsModel explainabilityPre-Sales ConsultingLIMEData VisualizationE-CommercePeople ManagementRetail BankingLendingStatistical ToolsInterpreting DataData ModelingBFSIDecision Support

About

I build high-impact data science teams that deliver business results—at scale. With 15+ years across banks, fintechs, and global retailers, I’ve led AI and analytics initiatives that solve business-critical problems through a blend of data science, domain expertise, and strategic thinking. What I Do Best • Build and scale high-performing data teams • Lead AI-powered transformation for large enterprises • Deliver measurable commercial impact through analytics Recent Highlights MathCo • Currently leading analytics delivery for retailers across North America and the Middle East including Agentic AI solutions for process optimization and enhanced customer insights • Helping clients boost margins, enhance competitor intelligence, and drive personalized customer engagement through well designed marketing campaigns • Teams have driven $2B+ in incremental revenue and nearly $200M in profit uplift Citi • Led analytics for portfolios worth $75B+ to improve strategic forecasting accuracy and flexibility • Optimized next-best-offer engines across APAC • Personalized outreach to 10M+ users, generating $150M+ in incremental annual sales Velocity (Fintech) • Built and scaled the data science function from scratch • Introduced automated underwriting, early warning systems, and smarter targeting to accelerate and de-risk credit decisions Academic Foundation • MBA, IIM Ahmedabad • Master’s in Electrical Engineering, IISc Bangalore I bring an analytical yet pragmatic approach to leadership—balancing innovation with execution. Whether modernizing legacy systems or building greenfield ML pipelines, I focus on translating AI into real business value. Current Interests Generative AI | Causal Inference | Large-Scale Personalization Always open to exchanging ideas and collaborating in this fast-evolving space.

Experience

15 yrs 2 mos
Total Experience
2 yrs 7 mos
Average Tenure
2 yrs 4 mos
Current Experience

Mathco

Associate Principal/Delivery Lead

Jan 2024Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

  • I lead a 70-member analytics team driving high-impact solutions for some of the world’s largest retailers. Our team specializes in transforming data into strategic insights, enabling retailers to optimize performance, enhance marketing effectiveness, and improve operational efficiency.
  • Key Focus Areas:
  • Marketing Measurement & Strategic Analytics – Helping retailers maximize ROI through data-driven marketing insights.
  • Market Share Estimation – Developing and maintaining advanced models to track and forecast competitive positioning.
  • Retail Media Network Analytics – Supporting one of the world's fastest-growing retail media networks with analytics-driven ad performance optimization.
  • Workforce Analytics – Leveraging data to enhance workforce planning, productivity, and operational efficiency.
  • Multi-Touch Attribution & Customer Insights – Building attribution models to better understand customer journeys and optimize conversions.
  • Reporting & Dashboarding – Enabling decision-makers with scalable, real-time insights through advanced visualization tools.
  • Through a combination of data science, analytics, and deep business expertise, my team delivers measurable impact in a fast-evolving retail landscape. We work at the intersection of analytics, technology, and strategy to drive innovation and business success.
PersonalizationBusiness AnalyticsModel explainabilityPre-Sales ConsultingLeadershipLIME+2

Velocity

Director, Data Analytics

Mar 2022Nov 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India

  • My focus at Velocity has been on harnessing our data for data-driven insights, innovative automation and cross-team collaboration across the customer lifecycle.
  • I have led a 6 member team to deliver:
  • Automated UW for approximately 40% of applications for our Revenue based Financing (RBF) as well as Business Cards products.
  • Collaborated with Operations and Collections teams, resulting in a 2X reduction in initial delinquency rates
  • Collaborated with the Product team to achieve 3X user growth in Velocity Insights, India's largest analytics solution for D2C brands.
  • Led the Data Engineering team to develop consolidated tables by source which led to significant efficiencies in terms of developer productivity, query times and cost reduction of approximately 50%.
Model explainabilityE-CommercePeople ManagementRetail BankingLendingStatistical Tools+13

Citi

3 roles

Senior Vice President, Strategic Analytics

Jul 2020Mar 2022 · 1 yr 8 mos

  • My tenure at Citigroup, across the US and India, developed my ability to drive data-led decision making, automate complex forecasting processes, and optimize marketing campaigns at a high-profile financial services organization.
  • I spearheaded transformative initiatives at Citi, automating forecasting processes, achieving substantial accuracy gains, and optimizing marketing campaigns, resulting in multimillion-dollar impacts.
  • Enhancing Strategic Planning process for Citi's Branded Cards portfolio
  • Led the end-to-end automated forecasting of ~450 credit card P&L drivers, reducing resource requirements by 80% and enhancing accuracy by 30%.
  • Produced 6000+ granular, segment-level forecasts, offering profound insights into the portfolio's status and the ramifications of strategic choices and macroeconomic factors.
  • Ensured the production implementation of the chosen models, and their approval from the Model Risk Management and Fair Lending teams.
  • Optimizing Marketing Campaigns for Citi's US Retail Bank
  • Headed a 3-member team across US and India to optimize balance retention campaigns.
  • Drove a balance save of USD 25M and an incremental revenue impact of USD 500K annually by identifying customers at highest risk of attrition using XGBoost models.
R (Programming Language)SAS (Software)Team LeadershipModel explainabilityApplied MathematicsMachine Learning+13

Vice President, Decision Management

Promoted

Jan 2017Jul 2020 · 3 yrs 6 mos

  • I led crucial analytics efforts in the Citi Best Buy partnership, leveraging data-driven insights to drive tens of millions in incremental sales, and implementing innovative strategies to enhance cardholder spend both in and outside Best Buy while ensuring strict adherence to all regulatory and risk management requirements.
  • Drove $55 million in incremental sales through:
  • Creating an internal segmentation for Citi customers, revealing distinct spend behavior within Best Buy.
  • Collaborated with cross-functional teams within Citi and Best Buy to ensure buy-in.
  • Ensured model risk and fair lending approval.
  • Executed successful marketing campaigns based on segmentation and identified the preferred offer for each segment.
  • Boosting Cardholder Spend Beyond Best Buy (~ $70-80 MM in annual incremental spends)
  • Engineered Merchant Recommendation Engine and customer segmentations based on spend inside and outside Best Buy
  • Enhanced spend for Citi Best Buy cardholders outside Best Buy through identifying appropriate offers
  • Ensured model risk management and fair lending approvals over a 3 year period
R (Programming Language)PersonalizationSAS (Software)Model explainabilityApplied MathematicsMachine Learning+20

Data Scientist. Citigroup GDM

Jul 2013Jan 2017 · 3 yrs 6 mos

  • Implemented Next Best Offer solution for Citi's Retail banking customers across APAC and Latin America using Latent Markov Models (20+ million customers)
  • Designed, developed and implemented Merchant Recommendation Engine across Citi's APAC credit cards businesses.
  • Travelled to Taipei to implement this and design marketing campaigns based on Merchant Recommendation Engines (2 million customers in Taiwan alone)
  • Developed and conducted learning sessions for Citi's analysts on R programming, Latent Markov Models and Next Best Offer, as well as basics of Hadoop.
R (Programming Language)PersonalizationSAS (Software)Recommender SystemsModel explainabilityApplied Mathematics+11

Icfai university group

Consultant, Technology

Dec 2011May 2012 · 5 mos

Analytical Skills

Photon capital group

Associate, Quantitative Research and Trading

Jul 2011Mar 2013 · 1 yr 8 mos · Mumbai Area, India

Applied MathematicsMachine LearningStatistical ToolsInterpreting DataAnalytical SkillsData Mining+2

Jaypee capital services ltd.

Quantitative Analyst and Trader

Aug 2010Jun 2011 · 10 mos · Mumbai

Applied Mathematics

Brics securities

Intern, Quantitative Strategies Group

Apr 2009Jun 2009 · 2 mos

Education

Indian Institute of Management Ahmedabad

Post Graduate Diploma in Management

Jun 2008Mar 2010

Indian Institute of Science (IISc)

MSc Engg — Electrical Engg. Signal Processing

Jan 2006Jan 2008

University of Mumbai

B.E — Electronics and Telecommunications

Jan 2001Jan 2006

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