Summary
Overview
Work History
Education
Skills
INTERNSHIPS
Extra Curricular Activities
Timeline
Generic
Muskan Garg

Muskan Garg

New Delhi, ,DL

Summary

Detail-oriented Data Analytics Consultant with 3+ years of experience in data analytics, machine learning, and statistical modeling, delivering actionable insights to drive business strategies across Financial Services, Retail, and Commerce. Proven team collaborator with a track record of success.


Recipient of the global Mastercard Ambassador program awarded to exceptionally high-performing employees, with a 3-month cross-cultural integration on-site opportunity at Mastercard Greece office.

Overview

3
3
years of professional experience

Work History

Data Analytics Consultant

Mastercard Advisors
08.2021 - Current

(Promoted to this position after 1 year 6 months of extra-ordinary performance)


  • Merchant Analytics

-Executed comprehensive competitive benchmarking & affinity analyses for10+ R&C clients across geographies to identify strategic gaps and opportunities and deliver informed decision-making

-Devised a tailored intermodality analysis solution to help enhance targeted marketing strategies, optimizing customer experience and loyalty, and informing infrastructure planning initiatives

-Also, led and supported multiple R&C opportunities across EEMEA in collaboration with the sales team, successfully cross-selling various projects to clients and driving additional business opportunities

  • Customer Segmentation

-Delivered actionable insights on client customer segments using K-means clustering, identifying key profiles from loyalty and penetration-focused initiatives to help clients assess market share growth potential

-Developed ESG Analytics framework to identify eco-conscious customers within the dataset, aiming to optimize marketing efforts and enhance customer engagement based on sustainability preferences

  • Commercial B2B Analysis

-Designed and implemented predictive attrition models for issuers using machine learning algorithms to identify high-risk customers

Integrated the model into the bank’s retention strategy, driving proactive engagement and reducing churn

-Performed acceptance matching and segmentation analysis on client portfolios to identify target segments for Virtual card payments across various geographies

  • Business Advisory & Product Enhancement

-Expanding Mastercard’s merchant-facing product into new geographies while automating data analytics processes; coordinating with multiple stakeholders, including external vendors, for dashboard development to ensure seamless client integration

-Collaborated with the product team to enhance Mastercard’s existing ESG product, driving improved commercialization

-Collaborated with cross-functional teams to conduct a comprehensive data-driven analysis of another SME-focused product

-Led deployment & engagement of an issuer focused product for20+ banks in the Middle-East

  • Conducted comprehensive data audits to ensure integrity, validity, and accuracy of analytical results.

Education

M.A. Economics -

Delhi School of Economics
Delhi University
01-2021

B.A.(H) Economics -

Sri Venkateswara College
Delhi University
01-2019

CBSE 12th Commerce -

Apeejay School
Pitampura, Delhi
01-2016

Skills

  • SQL programming
  • Python Programming
  • Data Modeling
  • Machine Learning Algorithms
  • Advanced Microsoft Office
  • Data Visualization-Tableau
  • Business intelligence
  • Strong Problem Solving
  • Stakeholder Management
  • Strong work ethics
  • Project management

INTERNSHIPS

Data Analytics Intern, American Express, Gurugram, India

  • Employed NLP modeling techniques to conduct Twitter Sentiment Analysis on leading USA Membership Rewards partners using Python.
  • Identified key partners and identified key drivers behind monthly sentiment trends via campaign insights
  • Additionally, developed a machine learning model aimed at accurately classifying sentiment, with the goal of validating future successes in Membership Rewards campaigns.


Management Trainee Intern, Wazir Advisors, Gurugram, India

  • Conducted competitive benchmarking for a retail client in India's handloom industry across the five Ps framework
  • Assisted in identifying leading brands across various sectors and their distribution channels (MBOs) for another client.

Extra Curricular Activities

  • Chief Coordinator, Placement Cell, Sri Venkateswara College (2019): Led a 70-member team to achieve record-breaking internships and placements, initiated the highly acclaimed 'Insight Scoop' newsletter, and organized Internship Fair securing over 350 opportunities from 30+ recruiters.


  • Make A Difference (NGO), Academic Support Volunteer (2017): Taught Mathematics to underprivileged students in their shelter home in Daryaganj, Delhi.


  • Performed in Antaragini, annual fest of IIT Kanpur, also performed classical dance in opening ceremony of CommonWealth Games 2010.

Timeline

Data Analytics Consultant

Mastercard Advisors
08.2021 - Current

M.A. Economics -

Delhi School of Economics

B.A.(H) Economics -

Sri Venkateswara College

CBSE 12th Commerce -

Apeejay School
Muskan Garg