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Shivang Krishnatreya

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

Bengaluru

18+ years of work experience

Shell
May 20224 yrs 5 mosPresent

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.
Shell
Dec 20192 yrs 6 mosMay 2022

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.
dunnhumby
Jul 20181 yr 5 mosNov 2019

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.
dunnhumby
May 20153 yrs 3 mosJul 2018

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.
dunnhumby
Mar 20132 yrs 2 mosApr 2015

Gurugram, Haryana, India

ETL Data Solutions development and optimization for Retail Analytics domain using SAS DI, SAS EG, Unix, Exadata
HSBC
Jun 20111 yr 10 mosMar 2013

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.
Tata Consultancy Services
Jul 20082 yrs 11 mosMay 2011

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

Shivang’s AI Stack

hugging face
hugging face
langchain
langchain
langgraph
langgraph
ollama
ollama
Microsoft Copilot
Microsoft Copilot

Education

Great Lakes Institute of Management Gurgaon

PGP-Business Analytics & Business Intelligence, Data science and Analytics

Great Lakes Institute of Management Gurgaon

20171 yr2018
Illinois Tech Stuart School of Business

PGP-BABI, Data science and Analytics

Illinois Tech Stuart School of Business

20171 yr2018

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Headline

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

About

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

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

ollama

Microsoft Copilot

Work experience

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

Education

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