Abhigyan Rai

Data Scientist

India4 yrs 7 mos experience

Key Highlights

Developed advanced recommendation engines using XGBoost and NLP.
Proven track record in churn prediction and retention strategies.
Collaborated with Nobel Laureate on impactful economic research.

Stackforce AI infers this person is a Data Scientist with expertise in SaaS and Finance industries.

Contact

Skills

Core Skills

Machine LearningData ScienceEconometricsEconomic Research

Other Skills

Natural Language Processing (NLP)Predictive ModelingXGBoostSQLData AnalyticsCustomer Segmentation StrategyClusteringOptimizationCluster AnalysisAnalytical SkillsTarget SegmentationMacroeconomicsData AnalysisMicrosoft Power BIMicrosoft Excel

About

With competencies in recommendation engine, target segmentation, optimization and cluster analysis, I am seeking data science opportunities that allow me to drive insights and create impactful solutions. A graduate of IIT Kanpur with a BS-MS in Economic Sciences, I most recently worked as an Analyst in Data Science at self funded start-up, where I contributed to the development of an XGBoost and NLP based recommendation engine. This work enhanced match relevance and improved early user engagement. I also built a churn-prediction and retention segmentation workflow, leveraging XGBoost and clustering techniques to support targeted re-engagement strategies. My experience preparing for the UPSC Civil Services Examination (Mains 2024) honed my structured problem-solving, strategic thinking, and interdisciplinary analysis skills.

Experience

4 yrs 7 mos

Total Experience

1 yr 2 mos

Average Tenure

Current Experience

Cookiee

Data Scientist

Jan 2025 – Sep 2025 · 8 mos · Gurugram, Haryana, India · Remote

Developed an XGBoost and NLP based recommendation engine that improved match relevance and strengthened early user engagement.
Built a churn-prediction and retention-segmentation workflow using XGBoost and clustering, enabling targeted re-engagement efforts and more efficient acquisition.

Machine LearningData ScienceNatural Language Processing (NLP)Predictive ModelingXGBoostSQL+2

Union public service commission

UPSC Civil Services Aspirant

Apr 2022 – Dec 2024 · 2 yrs 8 mos

Appeared in CSE Mains 2024
Gained skills in structured problem-solving, strategic thinking and interdisciplinary analysis.

Ab inbev gcc india

Associate Data Scientist

Nov 2021 – Mar 2022 · 4 mos · Bengaluru, Karnataka, India · Remote

• Developed a clustering and logit-based SKU assortment model and validated its impact through revenue-focused store comparisons.

Machine LearningData SciencePredictive ModelingSQLData AnalyticsOptimization+1

Exl

Data Science Consultant

Sep 2020 – Oct 2021 · 1 yr 1 mo · Gurugram, Haryana, India · Remote

Delivered an XGBoost-based merchant classification system supported by a custom word2vec model, enabling efficient large-scale industry categorization and improved recall through targeted segmentation rules.
Enhanced the accuracy of an existing neural network for secondary industry code assignment, strengthening overall classification reliability.

Machine LearningData ScienceNatural Language Processing (NLP)Predictive ModelingXGBoostSQL+3

The d. e. shaw group

Fundamental Research Intern

May 2019 – Jul 2019 · 2 mos · Hyderabad, Telangana · On-site

Analyzed how macroeconomic fundamentals affect credit default swaps across emerging markets, strengthening model effectiveness with an added explanatory factor.
Evaluated the sensitivity of the Laubach-Williams-Holston framework, uncovering key dependencies linked to data, constraints, and estimation choices.

EconometricsMacroeconomicsEconomic ResearchPredictive ModelingData AnalysisAnalytical Skills

The hebrew university of jerusalem

Summer Research Intern

May 2018 – Jul 2018 · 2 mos · Jerusalem, Israel

Collaborated with Nobel Laureate Prof. Robert J. Aumann and published paper ”A synthesis of behavioural and mainstream economics” (Nature Human Behaviour May 2019)
Analyzed evolutionary and behavioral models (altruism, co-evolution, discounting, heuristics) shaping cooperation, decision making and economic exchanges.

Data AnalysisAnalytical Skills

Students' placement office, iit kanpur

2 roles

Internship Coordinator

Apr 2017 – Mar 2018 · 11 mos · Kanpur, Uttar Pradesh, India

Spearheaded a team of 50 members, liaised with 40+ corporate recruitment teams, managed placement logistics, 40% boost in Day 1 internship and 25% YoY placement offers