Saptarshi Ghose

Strategy Consultant

Bengaluru, Karnataka, India8 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in data-driven strategies for business growth.
  • Proven track record in predictive analytics and machine learning.
  • Strong leadership experience in strategic roles.
Stackforce AI infers this person is a data-driven strategist with expertise in analytics and management consulting.

Contact

Skills

Core Skills

Data AnalysisMachine LearningManagement Consulting

Other Skills

Statistical TechniquesCustomer InsightsPricing StrategyLogistic RegressionXGBoostData-driven AnalyticsStatistical ModelingPredictive MaintenanceCloud-based AIEconometricsEconomicsRResearchData VisualizationAnalysis

Experience

Cardekho group

Strategy Lead

Nov 2025Present · 4 mos · Jakarta, Indonesia · On-site

Practo

2 roles

Director - Strategy

Promoted

Jul 2025Nov 2025 · 4 mos · Bengaluru, Karnataka, India · On-site

Associate Director - Strategy

Oct 2023Jun 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Bain & company

2 roles

Senior Associate Consultant

Jul 2022Sep 2023 · 1 yr 2 mos · Mumbai, Maharashtra, India

Associate Consultant

Aug 2021Jun 2022 · 10 mos · Mumbai, Maharashtra, India

Intermiles (jet privilege pvt. ltd)

Senior Business Analyst

Sep 2018May 2020 · 1 yr 8 mos · Mumbai

  • As a Senior Business Analyst in InterMiles' Advanced Analytics team, I work closely with cross-functional teams to develop analytical frameworks and implement solutions that aim to bring rewarding value to InterMiles' 10 million members. I leverage customer data and use statistical and Machine Learning techniques to get insights into customer behaviour, which is used to enhance the firm's profitability at an overall portfolio level.
  • I was recently involved in developing the pricing strategy for JetPrivilege’s new Select Flights platform, which is a critical project for the company. This strategy would allow JetPrivilege members to book flights on any airline globally. I work closely with the Airline Partnership team to determine the optimal price that members should pay for buying airline tickets on this platform.
  • I was also responsible for building the Hotels Look-Alike model for JetPrivilege's new Hotels platform. A Logistic Regression model was built to identify members who would be most likely to engage in a Hotels transaction. The insights were used by Marketing to send personalised campaigns to members, driving JetPrivilege's customer acquisition target.
  • Moreover, I worked on an ML based Customer Lifetime Value model, which implemented an ensemble of Logistic Regression and XGBoost to predict the worth of business a member would engage in with JetPrivilege. ML based Lifetime Value prediction models are very new to the Loyalty industry, with scanty literature, which makes this a unique project.
Statistical TechniquesMachine LearningData AnalysisCustomer InsightsPricing StrategyLogistic Regression+1

Pwc

Experienced Associate

Jul 2016Aug 2018 · 2 yrs 1 mo · Mumbai Area, India

  • As a management consultant with PwC’s advisory practice, I primarily work in the Consumer Markets and Industrial Products sector, and deliver bespoke client solutions leveraging data driven analytics and statistical modeling.
  • I was responsible for developing the analytics layer in PwC's proprietary Predictive Maintenance platform, a tool that helps airline clients realize cost savings by predicting delays and cancellations ahead of a scheduled departure. We use airplane sensor data to model failure probabilities, using statistical techniques like Rare Event Logistic models and Machine Learning algorithms like Random Forest, and help the airline maintenance crew to prioritize maintenance and repair jobs. The Predictive Maintenance solution was deployed for a Fortune-500 cargo airline company.
  • Other engagements I have worked on includes a market benchmarking exercise to help a US Private Equity client analyze the benefits of acquiring a firm that specializes in manufacturing of brewery equipment, and an Account Segmentation and Distribution engagement for a Fortune 500 brewing company.
  • I have also worked in the Innovations sector, where PwC leveraged cloud based AI capabilities to develop Image Analytics models, to detect diabetes in patients based on images of the patient's’ eyes.
Data-driven AnalyticsStatistical ModelingPredictive MaintenanceMachine LearningCloud-based AIData Analysis+1

Deutsche bank

Summer Intern

May 2015Jul 2015 · 2 mos · Mumbai Area, India

  • Worked with the Global Markets Commodities Research desk to develop a model to predict WTI crude oil prices in the short run, using market fundamentals and industry knowledge.

Education

Indian School of Business

Master of Business Administration - MBA

Jan 2020Jan 2021

Indira Gandhi Institute of Development Research

Master of Science (M.Sc.) — Economics

Jan 2014Jan 2016

Presidency University,Kolkata

Bachelor of Science (B.Sc.) — Economics

Jan 2011Jan 2014

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