Rahul Gupta

AI Researcher

Gurugram, Haryana, India9 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led data-driven solutions for customer engagement.
Established data analytics function at Circle K in India.
Developed innovative pricing algorithms saving $50K annually.

Stackforce AI infers this person is a Data Scientist specializing in Retail Analytics and Machine Learning.

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Skills

Core Skills

Data AnalyticsMlopsMachine LearningPrice OptimizationAzure Data FactoryDeep LearningTransformer ModelsNeural NetworksPortfolio OptimizationRecommendation SystemsGraph Algorithms

Other Skills

Agile MethodologiesAgile Project ManagementArtificial Neural NetworksAzure DatabricksBiomedical DevicesCClinical EngineeringComputational NeuroscienceContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Digital Signal ProcessingGitHubHuman AnatomyHuman PhysiologyKeras

Experience

Circle k

2 roles

Lead Data Scientist

Promoted

Jan 2025 – Present · 1 yr 2 mos · Gurugram, Haryana, India

I’ll be focusing on building and scaling data-driven solutions for customer and loyalty to enable our business to make smarter, customer-centric decisions that fuel engagement and growth.

Continuous Integration and Continuous Delivery (CI/CD)MLOpsMicrosoft AzureAgile MethodologiesData Analytics

Senior Data Scientist

Apr 2022 – May 2025 · 3 yrs 1 mo · Gurugram, Haryana, India

As the first data scientist to join the team, I played a pivotal role in establishing the data and analytics function for Circle K in India.
Circle K Global Pricing -
1) Took hand over of legacy pricing solution from external support team.
2) Improved the underlying infrastructure of the company's pricing solution. Led a team to modularized, optimized the code and then industrialized the solution by orchestrating in Azure Data Factory, ensuring scalability and efficiency.
3) Developed a customized price optimization algorithm for faster execution (10 times) and better optimal lifts.
4) Optimized price elasticity module saving significant time and cost. Reduced execution time by 70% saving close to $50K annually in cloud computational cost.
5) Collaboration with business teams to understand their needs and challenges.
In addition to my technical contributions, I led the team understand the project from scratch, documenting my work thoroughly to enable knowledge transfer. My contributions extends beyond my immediate role as I indirectly contributed to recruiting new team members, making me the go-to person for any pricing-related problems within or across teams.
Innovative Projects -
1) Category Level portfolio optimization.
2) UI based On-demand pricing solution.
3) Contextualized Basket representation leveraging transformer encoder architecture.

Azure Data FactoryPrice OptimizationPrice ElasticityMachine LearningDeep Learning

Pristine infotech, inc.

3 roles

Senior AI Scientist

Promoted

Oct 2021 – Apr 2022 · 6 mos

1) Next Basket Prediction using LSTM.
2) Non-contextualized basket representations using Deep Learning techniques to find similar items and similar customers.
3) Worked on Weekly Item level movement prediction leveraging product and categorical embeddings in a feed forward neural network.

LSTMDeep LearningNeural Networks

Data Scientist

Promoted

Apr 2020 – Sep 2021 · 1 yr 5 mos

1) Cover Page Item Recommendation and Optimization
2) Portfolio Optimization of Prices and Promotions

Portfolio OptimizationData Analytics

Associate Data Scientist

Apr 2019 – Mar 2020 · 11 mos

1) Developed a needs based product hierarchy based on business knowledge.
2) Built a household item recommendation engine leveraging need based product hierarchy.
3) Built a correlation-based approach to find item pairs and used a graph algorithm to bundle the pairs based on the links.

Recommendation SystemsGraph Algorithms