Global Data Science Leader @ Shell | Driving AI, ML & GenAI Solutions | Retail & Conv. Retail Analytics Expert | Delivering $14M+ Business Impact | Team Builder & GenAI Strategic Innovator

Chennai, Tamil Nadu, India

Chennai

Gurugram, Haryana, India

Gurugram, Haryana, India

Gurugram, Haryana, India

Bengaluru, Karnataka, India

NOIDA






PGP-Business Analytics & Business Intelligence, Data science and Analytics
Great Lakes Institute of Management Gurgaon

PGP-BABI, Data science and Analytics
Illinois Tech Stuart School of Business
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Download Tal BossGlobal Data Science Leader @ Shell | Driving AI, ML & GenAI Solutions | Retail & Conv. Retail Analytics Expert | Delivering $14M+ Business Impact | Team Builder & GenAI Strategic Innovator
As a seasoned Data Science leader with 17+ years of experience, I specialize in transforming complex data into strategic business outcomes across Retail, HR, and Pharmaceutical domains. At Shell, I lead a global team of 30+ data scientists, delivering advanced analytics, AI, ML, and Generative AI solutions for the entire Non-Fuel Retail vertical in Shell across the globe, driving $14M+ in business impact through pricing & Promo optimization, category management analytics, and demand forecasting. I pioneer the adoption of cutting-edge technologies, including LLMs, prompt engineering, and synthetic data generation, building actionable insights, chatbots, and AI-driven customer feedback solutions. My expertise spans predictive modeling, time series forecasting, deep learning, and model explainability (XAI), ensuring compliance with global AI regulations while enabling data-driven decision-making. Previously, I delivered transformative analytics solutions at Dunnhumby and HSBC, optimizing customer segmentation, marketing strategies, and HR analytics for global stakeholders. Recognized for mentoring high-performing teams, fostering innovation, and bridging the gap between technical solutions and business strategy, I thrive at the intersection of data, technology, and business impact. 📧Do reach me out at: shivang.info@gmail.com
Bengaluru
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Microsoft Copilot
Data Science Manager - Global NFR at Shell, May 2022 - Present · 4 yrs 5 mos, Chennai, Tamil Nadu, India, Lead a 30+ member global data science team across Chennai, Bengaluru, and Krakow, delivering end-to-end analytics, AI, ML, and Generative AI solutions for Shell’s Non-Fuel Retail vertical. Key Achievements: • Delivered $14M+ in projects spanning convenience retail pricing, category management, promotion recommendation, and fuels demand forecasting. • Pioneered the use of LLMs and Generative AI for customer feedback analysis, synthetic data generation, and chatbot development. • Developed a multi agent agentic AI system to deliver crucial causal analytics insights and recommendations directly to business automatically • Implemented explainable AI frameworks and ensured compliance with EU AI regulations, increasing stakeholder confidence in ML models. • Leveraged web-scraping and advanced analytics for competitor pricing insights, shaping strategic pricing decisions. • Developed robust ML pipelines and dashboards using Databricks, Azure, PowerBI, Python, and R to translate complex data into actionable business insights.
Data Science Team Lead at Shell, Dec 2019 - May 2022 · 2 yrs 6 mos, Chennai, Established and led the global Convenience Retail Pricing and Category Analytics teams, delivering predictive and prescriptive analytics solutions to support strategic retail decisions. Key Achievements: • Led $3M+ in analytics initiatives on pricing optimization, impact assessment, and category performance improvement. • Built predictive SKU opportunity models and PowerBI dashboards, driving $4.5M in measurable business impact. • Developed advanced demand forecasting and price optimization models to enhance decision-making for senior leadership. • Managed global cross-functional stakeholders including Finance, Operations, and IT to ensure project alignment and successful delivery.
Senior Data Scientist at dunnhumby, Jul 2018 - Nov 2019 · 1 yr 5 mos, Gurugram, Haryana, India, Designed and deployed advanced ML solutions to understand customer behavior, optimize marketing, and drive profitability for leading retail clients. Key Achievements: • Developed Customer DNA segmentation and shopping mission models, increasing predictive accuracy and marketing ROI for Tesco UK. • Built end-to-end ML pipelines using XGBoost, Neural Networks, PySpark, and Docker to ensure scalable and operational solutions. • Provided actionable insights into pricing, promotions, and category management, influencing strategic business decisions. • Mentored junior data scientists, fostering skill development and best practices in machine learning and analytics.
Lead Project Manager at dunnhumby, May 2015 - Jul 2018 · 3 yrs 3 mos, Gurugram, Haryana, India, To lead and ensure the smooth delivery of Global Data Engineering and Data Science projects and programmes from end-to-end, ensuring they are of the highest standards, delivered on time and within budget.
Senior Data Solutions Developer at dunnhumby, Mar 2013 - Apr 2015 · 2 yrs 2 mos, Gurugram, Haryana, India, ETL Data Solutions development and optimization for Retail Analytics domain using SAS DI, SAS EG, Unix, Exadata
Analyst - HR Analytics at HSBC, Jun 2011 - Mar 2013 · 1 yr 10 mos, Bengaluru, Karnataka, India, Delivered human capital analytics solutions for the Group CEO office, enabling data-driven HR decisions. Key Achievements: • Developed predictive models to forecast employee turnover and identify high-value talent. • Generated HR dashboards and MI reports using CART, regression analysis, SAS, and SQL to inform senior management. • Streamlined employee profiling and retention strategies through advanced analytics.
Systems Engineer - Clinical Statistical Analyst at Tata Consultancy Services, Jul 2008 - May 2011 · 2 yrs 11 mos, NOIDA, Performed statistical and regression analysis for clinical trials, supporting regulatory submissions and drug efficacy evaluation. Key Achievements: • Analyzed clinical trial data for Eli Lilly & Co., preparing reports for FDA compliance. • Conducted regression and statistical tests to evaluate new drug efficacy, improving reporting accuracy and speed. - Creating SAS analysis datasets using SAS programming on SAS EG - Creating TFL reports using SAS' Proc Report, SAS/Stat SAS/Macros - Training new hires/freshers on SAS
PGP-Business Analytics & Business Intelligence, Data science and Analytics, Great Lakes Institute of Management Gurgaon
PGP-BABI, Data science and Analytics, Illinois Tech Stuart School of Business