Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Souparno Bardhan

Bangalore

Summary

Seasoned Data scientist with 5.5 years of experience in solving real world analytical problems in multiple domains including Credit Card Analytics. Adept in ML, statistical analysis, insight generation and visualization

Overview

6
6
years of professional experience

Work History

Quant Analyst - Data Analyst

JP Morgan & Chase
02.2022 - Current
  • Sizing Affluent Population in US market: Estimate the size of Affluent and High Net Worth populations in US market. Built an ML model to classify non-Chase customer by modelling Chase Affluent customers
  • Cards spend behavior Insights Dashboard: Provide visibility to product teams into customer behavior for spend, outstanding and revolving and BNPL purchases
  • Competitor Offer Visibility (Python, Tableau| Selenium, Computer vision): Web scrapping to gather and compare competitor card offers and visualize on a dashboard for insight generation (POC stage)
  • Market Structure Analysis(Python| Clustering & Regression): Predict and profile customer spend behavior to push the right card offers and increase engagement. Estimated $1MM opportunity.

Lead Decision Scientist

Mu Sigma Business Solutions
03.2021 - 01.2022
  • Asset categorization (SAS & Python| EDA & Clustering): Optimized a catalogue of plastic products using product features to manufacture full product family on the same assembly line. Estimated opportunity of $2MM
  • Dwell Time Reduction (SAS| EDA, Hypothesis testing, Modelling ): Predict truck arrivals at warehouse to reduce dwell-time and associated penalties. Estimated opportunity of $3MM
  • Carrier Selection Analysis (Python| Insight generation): Frame-Work to select most optimal 3rd party Goods Carrier to transport products to customers. Identified $900K opportunity with the land transport.

Decision Scientist

Mu Sigma Business Solutions
12.2018 - 03.2021
  • Real-Time Pricing Dashboard (Power BI & Python): Real-Time Price tracking and trader visibility into pulp product price trends across USA among peers, with real time profit estimation calculator. $1.8MM opp
  • Pricing EDA (Python) : Ad-Hoc exploratory reports for special events and anomalies in pricing behavior of traders. Estimated opportunity of $2MM
  • Anomaly Detection Frame work(Python, R, R Shiny): Anomaly Detection framework and live dashboard for Supply Chain performance KPIs visible at CEO level. Estimated opportunity of $3MM
  • Training New resources: Trained freshers in the "Ways of Mu Sigma", Client communications and Dashboard development.

Education

Bachelor of Technology -

KIIT University
Bhubaneshwar
2018

Skills

  • Python Programming
  • SQL
  • Tableau
  • Machine Learning, Predictive modeling
  • Regression, Classification, Anomaly detection
  • Statistical Analysis, Hypothesis testing
  • Decision trees, Ensemble Methods, Boosting Methods
  • Analytical Skills

Accomplishments

    2nd place- Quantathon - JP Morgan & Chase (09/2022 - 10/2022) Find drivers of attrition for card customers that belong to lower mass category (low income over 25yrs ) and predict attrition henceforth

    Client Appreciation Testimony - Mu Sigma Business Solutions (11/2021) Clients "struck gold" with the quality of work, timeliness and overall "can do" attitude

    Spot Award - Mu Sigma Business Solutions (07/2020) Improving client relations and quickly learning new technologies to deliver high quality dashboard

Timeline

Quant Analyst - Data Analyst

JP Morgan & Chase
02.2022 - Current

Lead Decision Scientist

Mu Sigma Business Solutions
03.2021 - 01.2022

Decision Scientist

Mu Sigma Business Solutions
12.2018 - 03.2021

Bachelor of Technology -

KIIT University

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