Kunwarvir Singh

AI Researcher

Bengaluru, Karnataka, India6 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Proven track record in retail customer analytics.
Developed frameworks that drove $1.25B in customer spend uplift.
Expertise in machine learning and data-driven decision making.

Stackforce AI infers this person is a Data Science and Analytics expert in the Retail sector.

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Skills

Core Skills

Data AnalyticsCustomer AnalyticsMachine LearningData ScienceNatural Language Processing

Other Skills

Customer Cohort Engine (CCE)Loyalty Segmentation CohortsPurchase Price Preference SegmentationBrand Affinity CohortsCustomer Migration Engine (CME)Customer SegmentationStatistical ModelingCustomer MigrationData-Driven Decision MakingClassification modelSupervised MLIncremental LearningFastAPIData AnalysisConversational AI

About

Passionate Data Science and Analytics Professional blending a robust engineering background with expertise in developing scalable, data-driven solutions for the Retail sector using Applied Statistical Methods and AI. With over 3 years of hands-on experience in Retail based Customer and Product Analytics, I specialize in harnessing vast Retail based customer & transactional data sets to drive strategic business decisions and deliver measurable results. My proficiency spans across Data Science, Machine Learning, Applied Statistics, Forecasting and Generative AI, complemented by adeptness in various data visualization tools. I have a proven track record of uncovering actionable insights that optimize operational efficiencies and enhance bottom-line performance. Driven by a relentless pursuit of knowledge, I stay abreast of the latest advancements in data science and analytics, continuously expanding my skill set to tackle new challenges effectively. Let's connect for personalized mentorship sessions or casual coffee chats via Topmate. [Link Embedded with Profile] I look forward to engaging in meaningful conversations and sharing insights :)

Experience

6 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 10 mos

Current Experience

Tesco

2 roles

Senior Applied Data Scientist

Promoted

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India

Applied Data Scientist

Aug 2023 – May 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India

Walmart

Data Analyst II

Jun 2022 – Jun 2023 · 1 yr · Bengaluru, Karnataka, India

Worked under Customer 360: Data & Customer Analytics (DCA) Team under US Omni Tech Org.
About:
Built Customer Cohort Engine (CCE) to understand customer engagement across Omni (Store + e-Comm) Retail Channels
Proposed and developed the following end-to-end key initiatives under CCE Framework: Loyalty Segmentation Cohorts, Purchase Price Preference Segmentation, Brand Affinity Cohorts.
The CCE framework provided actionable insights and helped marketing Segments make data-driven decisions.
Key Accomplishment:
Productized end-to-end pipeline code of the CCE framework for consumption by downstream teams
Filled a US Patent for the CCE Framework within a year
Business Impact:
Leveraged CCE framework to develop the CME (Customer Migration Engine), which resulted in:
Spend uplift of $1.25B with just a 1% conversion factor of non-loyal to loyal customers
Savings of $750M with 10% saving of Lapsing customers (Declining Customers)
Key use cases currently in action include: Personalized Product Recommendation in e-Comm, Site Trafic Prioritization, Geo Specific Hyper Localized Assortment in Store

Customer Cohort Engine (CCE)Loyalty Segmentation CohortsPurchase Price Preference SegmentationBrand Affinity CohortsCustomer Migration Engine (CME)Data Analytics+1

Wipro limited

Summer Intern (Data Science)

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

Worked under the iDEAS-Cloud Transformation division on an end-to-end project to create a Classification model that can predict the R-Lane (based on a series of information defining the nature of Application and Hosting servers) to ensure effective migration of Applications over the cloud.
About:
Variables include a combination of system information, application software information, and survey question to capture non-functional parameters.
Model Training Methods - Supervised ML, Incremental Learning (Online ML)
Deployment - ML Model deployed as API (Using FastAPI) for testing over production servers.
Business Impact:
Enhanced migration accuracy, resulting in a 30% reduction in post-migration issues

Classification modelSupervised MLIncremental LearningFastAPIMachine LearningData Science

Indian cyber security solutions ( greenfellow it security solutions pvt ltd)

Machine Learning Intern

Jul 2020 – Oct 2020 · 3 mos · Kolkata, West Bengal, India · Hybrid

Worked on a Conversational AI Chatbot (end-to-end) for the Official website of ICSS. The chatbot served to provide information regarding sales and services of the company to its concerned customers and enhance customer interaction.
Salient Features:
User Validation Features (To ensure that the chatbot provides relevant information only to the authenticated users)
E-Mail Alerts (To support customers unsatisfied with chatbot’s response)
Tech Stack Exposure: RASA NLU (Open source framework for conversation AI Chatbots), Machine Learning, NLP, Flask, PyQt5 (Python-based GUI Library)

Conversational AIRASA NLUMachine LearningNLPNatural Language Processing

Uniconverge technologies

Machine Learning Intern

Apr 2020 – Apr 2020 · 0 mo · Delhi, India · Hybrid

Worked on a project based on NLP (Natural Language Processing) titled "Multilingual Toxic Comment Classification”. The main aim of the problem statement is to classify comments on the basis of toxicity (anything rude, disrespectful comments). If these toxic contributions can be identified, we could have a safer, more collaborative internet.
Tech Stack Exposure: Advanced NLP, BERT Transformers, Python, Machine Learning

NLPBERT TransformersNatural Language Processing