A

Aakansh Gupta

Product Manager

Bengaluru, Karnataka, India10 yrs 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 11 years of experience in machine learning solutions.
  • Expert in fraud detection and pricing optimization.
  • Strong leadership in data science initiatives.
Stackforce AI infers this person is a Data Science expert in Fintech and SaaS industries.

Contact

LinkedIn

Skills

Core Skills

Machine LearningPrice OptimizationFraud DetectionData ScienceProduct Strategy

Other Skills

Contextual BanditsBayesian inferencePythonFlaskKubernetesAmazon Web Services (AWS)Amazon AthenaAmazon EKSLogistic RegressionMulti Armed BanditsReinforcement LearningCatboostXGBoostOnline LearningApache Airflow

About

11 years of model magic - building, deploying and scaling machine learning solutions that stick. Passionate builder with a love for data.

Experience

10 yrs 11 mos
Total Experience
2 yrs 6 mos
Average Tenure
9 mos
Current Experience

Celonis

Staff Product Data Scientist

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Sixt research & development india

Staff Data Scientist

Dec 2023 – Aug 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

  • Pricing and competitor intelligence models.
Contextual BanditsBayesian inferencePythonFlaskKubernetesAmazon Web Services (AWS)+20

Mobile premier league (mpl)

Staff Data Scientist

Oct 2021 – Sep 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

  • Led data science initiatives for (1) Personalized cash incentives (2) Fraud detection.
LightGBMApache SparkPythonTableauStakeholder ManagementReinforcement Learning+8

Goldman sachs

3 roles

Vice President, Fraud Strats

Promoted

Jan 2021 – Aug 2021 · 7 mos · On-site

  • Led data modeling initiatives for Apple Credit Card Chargebacks and Fraud Detection.
Decision TreesPySparkData ScienceProbability TheoryAnalytical SkillsStatistics+14

Associate, Fraud Strats

Promoted

Jan 2019 – Jan 2021 · 2 yrs · On-site

  • Built data products and models for Apple Credit Card to improve chargeback recoveries and operational efficiency.
Decision TreesStatisticsProduct StrategyMachine LearningPythonCredit Card Fraud+10

Analyst, Global Markets

Sep 2017 – Dec 2018 · 1 yr 3 mos · On-site

  • Developed models to forecast client trading activity in FX forwards/futures to improve inventory management.
Decision TreesData ScienceSQLProbability TheoryAnalytical SkillsStatistics+10

Uhuru

2 roles

Senior Data Scientist

Promoted

Jan 2016 – Aug 2017 · 1 yr 7 mos · Tokyo, Japan · On-site

  • Embedded object detection research for IoT edge applications in MXNet and tensorflow.
Decision TreesRMachine LearningData VisualizationData ScienceProbability Theory+4

Data Scientist

Nov 2014 – Jan 2016 · 1 yr 2 mos · Tokyo, Japan · On-site

  • ML consulting and model development for several Japanese and international clients across hospitality, telecom and logistics.
Decision TreesRSupport Vector Machine (SVM)Machine LearningData VisualizationData Science+3

Delhivery

Data Science Intern

May 2014 – Jun 2014 · 1 mo · Gurgaon, India · On-site

  • Built Conditional Random Fields based models to segment Indian addresses to improve logistics fulfilment.
Machine LearningData Science

Wipro

Advanced Technologies Group Intern

May 2013 – Jul 2013 · 2 mos · Bangalore, India · On-site

National chiao tung university

Visiting Research Scholar

May 2012 – Jul 2012 · 2 mos · Hsinchu, Taiwan · On-site

  • 3D TV attention models survey and research

Education

Indian Institute of Technology, Delhi

B. Tech. — Electrical Engineering

Jan 2010 – Jan 2014

Delhi Public School, Faridabad

Higher Secondary

Jan 2008 – Jan 2010

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