Sudipto Pal

Product Manager

Bengaluru, Karnataka, India19 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 19.5 years of experience in data science and analytics.
  • Led teams of data scientists at Uber and AIG.
  • Expertise in predictive modeling and machine learning.
Stackforce AI infers this person is a Data Science Leader with expertise in E-commerce and Insurance analytics.

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Skills

Core Skills

A/b TestingStatistical ModelingCausal InferenceMachine LearningMarketing AnalyticsPredictive ModelingData AnalysisStatistical Techniques

Other Skills

Cursor AICross-functional Team LeadershipProgrammingBig DataFinancial RiskModel RiskData ScienceAnalyticsStatisticsStrategyBusiness AnalysisVBAH2O.aiLeadershipManagement

About

I am hiring! Product Analysts, Data Scientists, and Decision Scientists, please apply. Read my posts for JD. About Me: Statistician, Data Scientist, Behavioral Scientist, and Manager with 19.5 years of experience, with 8 years of people management experience. Expertise in Predictive Modeling, Machine Learning, Economics, Econometrics, Actuarial Science, Marketing Analytics, A/B Experimentation and Risk Management. Currently driving the experimentations and behavioral science projects at Uber leading a group of 6+ Data Scientists. Developed marketing analytics models at Walmart that improved customer retention and campaign effectiveness. Has led a group of 13+ modellers for 3 years at AIG, as manager and director. Founding member and Chair of the LGBTQ+ ARG(associate resource group) for Walmart IDC, spearheading sensitization programs & helping to develop Diversity and Inclusion policies Objective: To build an organization’s capacity of converting data into strategy through ML, A/B Experiments, Causal Inference and Predictive Analytics by leveraging personal expertise and leading others. Cross-pollinate expertise from Insurance, E-commerce & Retail. Industries: E-commerce marketplace, Insurance, Reinsurance, Retail, Credit Cards Tech Skills: A/B testing, Causal Inference, Modeling- Generalized Linear Models (GLM), GBM (Gradient Boosting), Mixed Effect Models, Survival Models, Bayesian Models, Time Series (ARIMA, Holt-Winters, LSTM), Unsupervised Learning (Clustering, Principal Component, Autoencoder), Classification (Decision Trees, Support Vector Machine), NLP (topic modeling with LDA), Anomaly Detection(Isolation Forest, One Class SVM), Test-Control Studies, Deep Learning (LSTM, Autoencoder) Coding: R, Python, H2O, Spark, Hive/SQL, SAS Student member of the Institute of Actuaries (2008-2016), UK/India, Eight exams passed: CT-1,2,3,6,7,8,9 ST8: General Insurance Pricing Publications/Conferences: 1. ML-based Financial Model For Renewals in Membership/Subscription based businesses (ICBAI, IISC Bangalore, 2018, selected for talk) 2. Financial Data Science Techniques in Retail (Talk- Data Science confernce, Institute of Actuaries, India, 2019) 3. "Contextual Outlier Detection and Treatment in High-Dimension Data including Categorical Variables"- selected for poster, LOD conference, Siena, Italy,2019 (Springer LNCS affiliated)

Experience

Uber

Manager Applied Science II

Jun 2021Present · 4 yrs 9 mos · Bangalore Urban, Karnataka, India · Hybrid

  • 📐Measure What Matters- Leading and strategising A/B experiments and ML-based causal inference studies to measure the product performance and impact of policy changes for Uber's customer support UX.
  • 📝Setting up correct governance and frameworks for principled and accurate measurements- especially in low volume and high trade-off scenarios.
  • 📈Owning key KPIs- higher support automation, Gen AI adoption, and CX improvement. Help Uber optimise customer support spending.
  • 👥Building and managing a team of scientists, and driving collaboration with Product Management, Engineering and Ops. Drive the annual planning for KPIs and headcounts. Built a team of 10 scientists from scratch.
  • 🌈 Bangalore lead for Pride ERG @Uber- Operationalized the same sex health insurance for India employees.
A/B TestingStatistical Modeling

@walmartlabs india

Staff Data Scientist

Jun 2016Jun 2021 · 5 yrs · Bangalore

  • Model and calibrate Marketing Science products and supervise their productization and adoption. Mentor other data scientists and engineers to help them build ML products independently. Help the team to mature through hiring, technical reviews and cross-team collaboration.
  • Drive the cross-business adoption and generalization of models, by collaborating with Data Engineers, Product Managers and Scientists. Introduced and devised Interpretable ML to bridge the gap between Performance and Explainability. As the chair of the LGBTQ+ ARG for Walmart Labs, spearheaded the sensitization programs and inclusion policies.
  • Major projects:
  • Campaign personalization for co-branded credit cards and driving up the revenues and reduce the cost of acquisition by improving the acceptance rate. Developed the target base by building propensity scores that capture the timing of high spending.
  • Retrospective experimental design to study the Halo effect of credit card offering on core business sales.
  • Calibrating Recommendation algorithms
  • Building models for member attrition and CLTV (Life Time Value)
  • Building cash flow prediction models for membership generated incomes
  • Building customer identity resolution using graph theory
  • Analyzing survey data using natural language processing (NLP)
  • Part of Technical Review Board
  • Developed products for ‘data-agnostic’ Automated Data Pre-processing and Data Quality. Used Autoencoder, anomaly detection with isolation forest and quantile-based methods. Led a group of 2 data scientists and 1 data engineer to implement.

Aig

Director - Predictive Modeling

Jul 2013May 2016 · 2 yrs 10 mos

  • Led a group of 13+ modellers. Developed Solutions for pricing and reserving using Statistics, Machine Learning, Financial Maths and Econometrics for various LOBs- Retirement products, Mortgage Insurance, Life Settlement, Life Insurance, P&C Reserving portfolio.
  • Responsible end to end from data processing algorithms, theoretical modeling framework development, parameter calibration, to end-user communication, leading a group of modelers, and hands-on modelling. Built models for attrition, lapse, mortality, customer lifetime value (CLTV) and campaign responsiveness.
  • Cost benefit analysis using Financial Mathematics techniques. Designing case-control studies (using design of experiment). Hypothesis testing (Bootstrap based and parametric).
  • Leading, developing and mentoring a team of modelers, and driving innovation.

Swiss re

Assistant Vice President- Actuary Special Lines

Apr 2008Jul 2013 · 5 yrs 3 mos · Bengaluru Area, India

  • Predictive Modelling:
  • Responsible for end to end predictive modelling including data cleaning, model fitting, parameter decision, validation, and stakeholder presentation.
  • Extensively worked on modelling using Statistical techniques like Generalised Linear Models (GLM), Logistic Regression, Markov Chain, Simulation, Distribution Fitting, Stochastic Modelling.
  • Developed pricing model for non-standard areas like Marine Hull Insurance
  • Developed inflation indices and exposure curves for Marine Hull Insurance
  • Proficient in SAS, Pretium and Emblem.
  • Tool Development:
  • Coding, enhancement and bug fixing for pricing tools using VBA (Visual Basic for Applications), PL/SQL and VB.Net. Responsible for training, functioning and accuracy of pricing
  • Business Analysis and Strategy Building:
  • Analysis of quality of underwriting and pricing (for Marine). Helped product center to build underwriting strategies. Developed semi-automated reporting system for the same. Conducted sensitivity studies for pricing. Responsible for regular presentation of analysis and insights, and helping driving the business.
  • Underwriting Support:
  • Provided onsite Underwriting support during treaty renewals for underwriting hubs, that includes end-to-end treaty pricing, including derivation of exposure and experience loss models, Nat Cat pricing, developing loss triangles, and expert decision on IBNR development factors and Loss distributions.
  •  Marine, Africa & Middle East market
  •  Motor & Employers Liability, Hong Kong market
  • Lines of Business exposed to:
  • Direct Insurance: Marine Hull, Marine Cargo, Aviation, Energy, Space
  • ReInsurance: Motor, Employer's Liability, Marine

Dell

Senior Business Analyst

Jun 2006Mar 2008 · 1 yr 9 mos · Bengaluru Area, India

  • Developing reporting system for business monitoring, using SAS, Excel, VBA
  • Various analytic and predictive modelling projects for product quality improvement.

Education

Indian Statistical Institute, Kolkata

Master's degree

Jan 2004Jan 2006

Indian Statistical Institute, Kolkata

Bachelor's degree

Jan 2000Jan 2004

Ramakrishna Mission

Secondary

Jan 1992Jan 1998

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