Shakir Wani

Head of Design

South Delhi, Delhi, India13 yrs 8 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 15+ years in data and AI leadership.
  • Expert in building end-to-end analytics systems.
  • Strong focus on measurable business outcomes.
Stackforce AI infers this person is a data and AI leader in Retail and Fintech sectors, specializing in analytics and machine learning.

Contact

Skills

Core Skills

Data ScienceAi/ml SystemsAnalyticsDecision SystemsGrowth OptimizationCustomer Experience

Other Skills

Data StrategiesArtificial Intelligence (AI)Amazon Web Services (AWS)Azure DatabricksMicrosoft Power BIBusiness InsightsPython (Programming Language)Reporting SystemsQuantitative AnalyticsCost EngineeringQuantitative DataExploratory Data AnalysisPredictive ModelingNeural NetworksData Reporting

About

I’m a data and AI leader with 15+ years of experience building end-to-end analytics and machine learning systems that help businesses make better decisions.My work spans cloud-native applications, ML platforms, dashboards, and decision systems, with hands-on experience across AWS and Azure, from problem definition to production deployment and business adoption.Over the years, I’ve led analytics and AI initiatives across retail, e-commerce ,financial services, marketing, product, supply chain, and customer experience, with a strong bias toward clarity of use cases, system integration, and measurable outcomes rather than standalone PoCs.I enjoy working at the intersection of business, data, and technology — translating ambiguous problems into scalable solutions, building teams, mentoring talent, and ensuring data products deliver sustained value over time.

Experience

Aditya birla fashion and retail ltd.

Head of Data Science, W and Aurelia(TCNS)

Dec 2021Present · 4 yrs 3 mos · New Delhi, Delhi, India · On-site

  • Own the end-to-end data, analytics, and AI ecosystem for W and Aurelia — spanning cloud applications, ML platforms, dashboards, and enterprise data architecture.
  • Built and scaled multiple business-critical applications on AWS, including Smart Calling, Accounts Payable automation, and other operational analytics tools, tightly integrated with core retail, ecommerce and finance systems.
  • Designed, deployed, and operationalized AI/ML models on AWS for demand forecasting, inventory optimization, personalization, and decision automation — moving beyond PoCs into fully adopted production systems.
  • Led the migration and modernization of AI/ML and analytics workloads from AWS to Databricks, enabling better scalability, governance, and unified analytics across batch, streaming, and ML workloads.
  • Developed end-to-end data products on AWS, covering data ingestion, feature engineering, model training, deployment, monitoring, and downstream consumption.
  • Built executive and operational dashboards to track sales, supply chain, customer behavior, and staff performance — ensuring a single source of truth for business teams.
  • Partner closely with business lleaders to translate ambiguous problems into clearly scoped, high-impact data solutions, with strong focus on adoption, ROI, and long-term sustainability.
Data StrategiesArtificial Intelligence (AI)Amazon Web Services (AWS)Azure DatabricksMicrosoft Power BIData Science+1

Tcns clothing company ltd

Head of Data Science

Dec 2021Present · 4 yrs 3 mos · New Delhi, Delhi, India · On-site

Sbi card

Senior Manager

Mar 2020Nov 2021 · 1 yr 8 mos · Gurugram, Haryana, India

  • Owned end-to-end analytics and decisioning for SBI Card’s key cross-sell products, with direct responsibility for business outcomes.
  • Led strategy, design, and execution of cross-sell campaigns across multiple channels (digital, tele-calling, email, and partner channels), translating business goals into data-driven targeting and execution plans.
  • Built and deployed propensity and response models to identify high-likelihood customers for cross-sell, driving improved conversion rates and more efficient use of marketing budgets.
  • Established A/B testing and measurement frameworks to evaluate campaign effectiveness, channel performance, and offer strategies, enabling continuous optimization.
  • Conducted regular model validation and performance tracking, ensuring stability, accuracy, and sustained business impact over time.
  • Designed and implemented intelligent automation frameworks for campaign execution, control checks, alerts, and automated reporting — reducing manual effort and improving turnaround time.
  • Acted as the single analytics owner between business, marketing, and technology teams, ensuring alignment from problem definition to execution and post-launch measurement.
Business InsightsPython (Programming Language)Reporting SystemsQuantitative AnalyticsCost EngineeringQuantitative Data+17

Snapdeal

3 roles

Analytics Manager

Promoted

Apr 2018Mar 2020 · 1 yr 11 mos

  • Owned end-to-end analytics for growth, conversion, and monetization across web, app, and marketing channels, working closely with product, marketing, and business teams.
  • Built and deployed a visitor conversion model that increased on-site conversion by ~7% (from 1.97% to 2.10%), directly impacting revenue at scale.
  • Designed a Markov-based multi-touch attribution model to measure true channel RoAS, accounting for complex user journeys with multiple touchpoints — improving budget allocation decisions.
  • Led App Dominance initiatives, increasing app share of orders from 56% to 75% while maintaining or improving total order volumes, using predictive modeling and targeting strategies.
  • Worked on Seller Ads Analytics, creating logic to distribute free ad credits to first-time advertisers and optimize conversion from free to paid credits, driving incremental Seller Ad revenue.
  • Owned product analytics and experimentation, running A/B tests across app, web, and WAP features to measure impact on engagement, conversion, and retention.
  • Partnered with marketing teams on paid media analytics, helping optimize Facebook campaigns to achieve lower CAC, reduced app uninstall rates, and higher repeat purchase rates using segmentation and decision-tree models.
  • Conducted user segmentation and clustering across Snapdeal and Freecharge ecosystems to identify high-potential customer cohorts for targeted marketing campaigns.
Business InsightsPython (Programming Language)Reporting SystemsQuantitative AnalyticsQuantitative DataExploratory Data Analysis+14

Assistant Manager

Promoted

Apr 2017Mar 2018 · 11 mos

Business InsightsPython (Programming Language)Reporting SystemsQuantitative AnalyticsQuantitative DataExploratory Data Analysis+14

Senior Business Analyst

Apr 2015Apr 2017 · 2 yrs

  • Senior Business Analyst in Consumer Analytics driving repeat purchases and Order Value for Electronics and Home category.
Reporting SystemsQuantitative AnalyticsQuantitative DataExploratory Data AnalysisPredictive ModelingNeural Networks+7

Jabong

2 roles

Assistant Manager

Promoted

Oct 2014Mar 2015 · 5 mos · Gurugram, Haryana, India

  • Owned customer experience and business analytics initiatives, working closely with operations, logistics, marketing, and customer support teams.
  • Delivered actionable CX insights to improve customer satisfaction and Net Promoter Score (NPS), contributing to Jabong’s Nielsen certification for NPS processes and measurement.
  • Designed a risk grid framework incorporating customer net worth, return behavior, and order patterns to proactively reduce fraud and business losses through warnings and controlled access.
  • Conducted Customer Lifetime Value (CLV) analysis to optimize third-party logistics costing and improve overall profit margins.
  • Led customer win-back campaigns targeting high-CLV churned customers, improving retention and revenue recovery.
  • Drove welcome calling initiatives for new customers to improve repeat purchase rates and long-term CLV by setting early expectations and communicating customer-friendly policies.
  • Analyzed SMS vendor performance and TATs, helping introduce penalty clauses tied to service-level breaches and improving communication reliability.
Reporting SystemsQuantitative AnalyticsQuantitative DataExploratory Data AnalysisPredictive ModelingNeural Networks+7

Management Trainee

May 2013Oct 2014 · 1 yr 5 mos · Gurugram, Haryana, India

  • Built analytical models, workflows, and data definitions using Excel and MS SQL to support Net Promoter Score (NPS) surveys and targeted email campaigns.
  • Defined granular targeting rules and trigger conditions for customer communications, improving relevance and response rates.
  • Developed customized and automated reports for business teams and senior management, enabling faster and more informed decision-making.
  • Supported messaging and communication analytics, focusing on improving open rates, effectiveness, and compliance across customer communications.
Reporting SystemsQuantitative AnalyticsCommunicationBusiness UnderstandingMarket AnalysisData Analytics

Tata consultancy services

Associate System Engineer Trainee

Jul 2011Jul 2012 · 1 yr · Greater Kolkata Area

  • focusing on developing a set of solutions that directly address a manufacturer’s business objectives in managing its product, process and asset lifecycles.
Reporting SystemsBusiness UnderstandingData Analytics

Air india limited

Avionics intern

May 2010Jul 2010 · 2 mos · Greater Delhi Area

  • Avionics department

Education

Delhi College of Engineering

Bachelor of Engineering (B.E.) — Electronics and Communication Engineering

Jan 2007Jan 2011

Amity International School, Saket

Jan 2005Jan 2007

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