Hemansh Anand

AI Researcher

Leeds, England, United Kingdom5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing predictive models with measurable business impact.
Proven track record in reducing customer churn and improving revenue.
Passionate about mentoring and streamlining data science processes.

Stackforce AI infers this person is a Data Science expert with a strong focus on predictive analytics and machine learning in SaaS environments.

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Skills

Core Skills

Data ScienceMachine LearningData AnalyticsData Analysis

Other Skills

Agile MethodologiesAgile Project ManagementAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Azure DatabricksAzure DevOps ServicesBig DataC (Programming Language)Collaborative FilteringCommunicationCustomer SegmentationData Quality ImprovementData TransformationData-Driven Solutions

About

I’ve always been drawn to challenges that sit at the intersection of data, technology, and business, where solving them drives real, measurable impact. As a Lead Data Scientist, I focus on turning complex datasets into practical solutions that improve decision-making, efficiency, and customer outcomes. Over the years, I’ve built and productionised recommender systems, developed predictive models that guide strategic decisions, and delivered scalable data solutions that power personalization, forecasting, and operational optimization. My work sits where technical depth meets business relevance, ensuring that models don’t just work but make a difference. I’m equally passionate about building people and processes, mentoring new data scientists, streamlining workflows, and creating internal tools that make data science more accessible and effective across teams. Collaboration is where good ideas turn into great results. Whether it’s designing intelligent systems, optimizing operations, or exploring how AI can reshape industries, I thrive in environments that value curiosity, experimentation, and impact. Outside of work, you’ll usually find me reading about tech innovation, finance, or planning my next trip. If you’re working on something exciting in applied AI, data strategy, or product innovation, I’d love to connect and exchange ideas.

Experience

5 yrs 2 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 3 mos

Current Experience

Asda

3 roles

Lead Data Scientist

Promoted

Jul 2025 – Present · 11 mos

Senior Data Scientist

Promoted

Mar 2023 – Jul 2025 · 2 yrs 4 mos

Data Scientist

Mar 2022 – Mar 2023 · 1 yr

Rfs - radio frequency systems

Data Scientist

May 2020 – Apr 2021 · 11 mos · New Delhi, Delhi, India

Developed and deployed a predictive customer churn model that accurately identified at-risk customers with a
precision of 85% and a recall of 80%, resulting in a reduction in churn rate by 15% over a six-month period
Created customer segmentation models that increased the click-through rate (CTR) of targeted marketing
campaigns by 20%, leading to a 10% increase in revenue and a 5% increase in customer lifetime value
(CLTV)
Collaborated with cross-functional teams to develop and deploy several data-driven solutions, resulting in a
25% reduction in customer complaints and a 10% increase in net promoter score (NPS)
Proactively identified and addressed data quality issues, resulting in a 30% improvement in data accuracy
and a 20% reduction in data processing time, enabling the business to make more informed decisions and
improve operational efficiency.

Predictive ModelingCustomer SegmentationData Quality ImprovementData-Driven SolutionsData ScienceMachine Learning

Ntpc limited

Data Analyst

May 2018 – Jul 2018 · 2 mos · Faridabad, Haryana, India

Collected, collated and normalized existing consumption, performance and operational data of over 120k rows
Transformed raw data into MySQL with a custom-made ETL application to prepare unruly data for machine learning
Developed machine learning models with Python and scikit-learn, which enabled the prediction of fuel usage with 95% accuracy.
Successfully increased the savings in fuel costs by 25% using proprietary software, modelling tools and specialist information

MySQLMachine LearningData TransformationData Analysis

Tech mahindra

Machine Learning Engineer

Jun 2016 – Aug 2016 · 2 mos · Noida, India

Built recommendation solution to provide personalized service to enhance user experience & improve ROI
Implemented Principal Component Analysis(PCA) to identify the key business KPIs
Used collaborative filtering to build a recommender system with Python, to deliver a 150% uptick in repeat orders

Recommendation SystemsCollaborative FilteringPrincipal Component AnalysisMachine LearningData Science