Summary
Overview
Work History
Education
Skills
Kaggle
Accomplishments
Timeline
Generic
ABHINN LUHADIA

ABHINN LUHADIA

Associate Managing Consultant
Bangalore

Summary

Data Science Specialist with 7 years of experience in financial analytics, risk modeling, and machine learning. Expertise in credit card P&L forecasting, fraud detection, and customer segmentation to drive business growth. Proven ability to optimize profitability, enhance risk management, and deliver data-driven insights for global financial institutions. Led and assisted successful sales pursuits resulting in over $10 million worth of engagements.

Overview

8
8
years of professional experience

Work History

Associate Managing Consultant

Mastercard Advisors
06.2022 - Current

• Led multiple projects in credit card P&L forecasting for top APAC issuers (SCB, ING, NAB), helping them optimize revenue and profitability

• Developed economic value-added (EVA) models to assess the long-term viability of various credit card portfolios

• Built customer lifecycle analytics frameworks for new acquisitions and retention strategies, improving portfolio profitability

• Managed a team, transitioning from an individual contributor to a project lead role in the last 1.5 years.

• Led project management efforts for ING and KNAB, conducting detailed analysis of authorization and fraud data.

Data Science Analyst

Accenture Strategy
04.2021 - 06.2022
  • Life Sciences (Apr'21 - Jul'21) : Developed an end-to-end Sales Forecasting Model for Eris LifeSciences
  • Built a robust XGBoost Regressor forecasting model with 500+ features at a Brand-Region granularity for 7000+ Brand-HQ combinations
  • Achieved an accuracy of 89% for 90% of the brands
  • Automated and integrated the model into the Sales and Marketing Dashboard using Azure Cloud Platform
  • FMCG (Aug'21-Jun'22) : Segmentation: Developed retailer and town segmentation models for Nestle to identify 'priority' towns/retailers using K-Means clustering techniques
  • Considered 15+ internal factors and external factors (like Prosperity Index, Population etc.) while building the model
  • Built and integrated the model output into Power BI dashboard
  • Sales Forecasting: Currently working on building an end-to-end month-end sales forecasting model at Distributor-MotherPack level with 4000+ features using XGBoost Regressor
  • Achieved an accuracy of 95% at All -India level and 88% at CD-MP level

Analyst

Deloitte USI
08.2018 - 11.2020
  • Time Series Modelling for Google Cloud: Developed data driven multivariable SARIMAX and SARIMA models to forecast GCP Free Trial Accounts and G-Suite Seats across NORTHAM, LATAM, APAC, and EMEA region for the year Q4-2020
  • Considered seasonality factors like Google NEXT events, Collective Disconnect holidays, etc
  • Global Activation Reporting and Dashboarding: Built end-to-end data pipelines for Google Cloud Email Marketing Programs
  • Ingested raw data in Cloud Spanner and Cloud Storage
  • Developed interactive dashboards in Plx to visualize the top-performing emails across the globe and at the regional level

Summer Intern

ONGC
05.2017 - 07.2017
  • Simulations of EPRU Plant on ASPEN: Examined the functioning of Ethane- Propane Recovery Unit Plant in ONGC
  • Performance Monitoring and Plant Optimisation was carried out using Aspen Plus software

Education

B Tech - Chemical Engineering

National Institute of Technology (NIT)
Jaipur

CBSE Board, Class XII - undefined

LBS Public School
Jaipur

Skills

Python

Kaggle

kaggle.com/abhinn1996

Accomplishments

• Ironman 70.3 Finisher

• Triathlete & Marathoner

Timeline

Associate Managing Consultant

Mastercard Advisors
06.2022 - Current

Data Science Analyst

Accenture Strategy
04.2021 - 06.2022

Analyst

Deloitte USI
08.2018 - 11.2020

Summer Intern

ONGC
05.2017 - 07.2017

B Tech - Chemical Engineering

National Institute of Technology (NIT)

CBSE Board, Class XII - undefined

LBS Public School
ABHINN LUHADIAAssociate Managing Consultant