graduate project
Credit Card Fraud Detection & ATM Cash Flow Prediction
92%
accuracy in fraud detection
- 50K+ transaction records
- ATM cash flow forecasting efficiency up 40%
- logistic regression
- knn
- random forest
data science and analytics / boston
Sheena Yadav turns data into decisions.
Predictive models, forecasts and dashboards for a North American bank, a footwear brand and a university system.
Sheena Yadav
Data Science & Analytics Manager
exl / since oct 2025
newest roles
- Manager, Technical Business AnalystEXLoct 2025
- Data AnalystUMass President's Officesep 2024
- Manager, Data Science & AnalyticsEXLapr 2023
8 of the 48 tools and methods she works with
- Python
- SQL
- Tableau
- R
- PySpark
- Snowflake
- AWS
- Power BI
experience
Nine years across banking, retail and the public sector.
Six roles since 2016 at WNS, Campus Shoes, EXL and the UMass President's Office.
-
01
Manager, Technical Business Analyst at EXL
Rejoined EXL in October 2025, after three earlier years there on data science and analytics projects for financial clients.
-
02
Data Analyst, Academic Affairs and Institutional Research (internship) at the University of Massachusetts President's Office
Enrollment and graduation forecasts across the UMass campuses, and Tableau dashboards on IPEDS data for executive decisions.
all the details
- Built regression and time-series models that forecast enrollment and graduation trends across the UMass campuses, used for resource allocation and planning.
- Designed and deployed interactive Tableau dashboards on IPEDS and live institutional data for executive visibility and policy decisions.
- Worked with stakeholders across teams to refine model accuracy and bring clear findings to senior leadership; streamlined institutional reporting.
-
03
Manager, Data Science & Analytics at EXL
Lead Assistant Manager at EXL
Predictive models for a major North American bank's credit card marketing, with segmentation, A/B testing and Tableau.
all the details
Across both roles at EXL:
- Led development and deployment of predictive models (XGBoost, Logistic Regression, Random Forest) for a major North American bank's credit card marketing: higher response rates, ROI up 20% through sharper targeting.
- Ran customer segmentation and portfolio optimization with clustering and logistic regression: personalized outreach, better acquisition of low-target segments, fewer inefficiencies across digital banking channels.
- Designed A/B testing frameworks and performance monitoring; results fed campaign decisions and product targeting.
- Built and maintained Tableau dashboards for campaign performance, customer behavior and model KPIs: manual reporting time down 60%, used by marketing, risk and product teams.
- Worked across banking, finance and risk management functions, in Python, Hive, Tableau and MS Excel.
-
04
Senior Data Analyst at Campus Shoes (Campus Activewear)
Led a team of analysts on sales forecasting and dynamic pricing, with machine learning on marketplace advertising.
Campus went public in May 2022.
all the details
- Led a team of analysts building sales forecasting and dynamic pricing models.
- Used machine learning on Amazon and Flipkart advertising: targeting, campaign effectiveness, customer segmentation, A/B testing.
- Built churn prediction models to find at-risk customers for retention work.
- Ran listings and ads across Amazon, Flipkart, Snapdeal, Paytm, Uniware, Fynd, Ajio and TATA Cliq, discount plans for seasonal sales, and campaigns on Facebook, YouTube Ads and Instagram.
-
05
Data Analyst at WNS Global Services
Led analytics for a pharmaceutical client, with automated reporting and PowerPoint dashboards.
all the details
- Led analytics for a pharmaceutical client; reporting times cut by 75%.
- Engineered automated reporting and PowerPoint dashboards: less processing time, higher accuracy.
- Delivered analytics projects that improved operational efficiency and supported strategic decisions.
- Worked across the project life cycle, business models and dashboards for health care and pharmaceutical clients.
( in her words )
“This experience deepened my understanding of how data supports strategic planning and policy decisions.”
umass president's office / senior spotlight / 29 apr 2025 (opens in a new tab)
skills
Python, SQL and Tableau.
Seven groups, from predictive modeling to leading a team.
Data Visualization & BI Tools 10
- Tableau
- Power BI
- Looker
- TIBCO
- CISCO Information Server
- Google Data Studio
- Visio
- Miro
- VBA
- Shiny
Programming & Data Handling 11
- Python
- R
- SQL
- SAS
- VBA
- PySpark
- dbt
- MySQL
- MS SQL Server
- DBeaver
- Alteryx
Cloud & Big Data Technologies 6
- AWS (S3, Redshift, SageMaker, QuickSight)
- Hadoop
- Spark
- Google Cloud BigQuery
- Snowflake
- Databricks
CRM & Marketing Automation 5
- Salesforce
- HubSpot
- Jira
- Workfront
- Agile Methodologies
Advanced Analytics 5
- Machine Learning
- NLP
- Time Series Analysis
- Gen AI
- Statistical Testing
Business & Strategic Analytics 6
- Marketing Analytics
- Customer Segmentation
- Churn Prediction
- Operational Efficiency
- Product Performance Insights
- POS & eCommerce Analytics
Project Management 5
- Team Leadership
- Stakeholder Collaboration
- Agile Project Execution
- Documentation
- Data Quality Management
projects
Fraud, forecasts and films.
Two graduate projects and a dashboard built for the UMass President's Office.
graduate project
IMDb Movie Trend Analysis for Strategic Industry Insights
1,000+ top-rated films, studied to find what drives a film's success.
- python
- r
- linear regression
- decision trees
umass president's office
IPEDS Tableau Dashboard
Built from scratch on data from 2016 to 2023. It compares enrollment and completions across the UMass campuses and peer institutions.
in numbers
The short version, in numbers.
-
9
years in analytics
From her first analyst job at WNS in 2016 to EXL today.
-
6
roles at 4 employers
WNS, Campus Shoes, EXL and the UMass President's Office.
-
48
tools and methods in 7 groups
From Python and Tableau to leading a team.
about
I'm Sheena, based in Boston.
I'm Sheena, a Data Science & Analytics Manager in Boston. Over nine years I have built predictive models for a North American bank's credit card marketing, sales forecasts and pricing for a footwear brand, and enrollment forecasts for a university system. I work in Python, SQL and Tableau, and I care most about findings a team can act on.
in 2026
- B.Tech, NIT KurukshetraAug 2012 to May 2016
- Data Analyst, WNS Global ServicesJul 2016 to Feb 2019
- Senior Data Analyst, Campus ShoesMar 2019 to Nov 2020
- Lead Assistant Manager, EXL GurugramFeb 2021 to Apr 2023
- Manager, Data Science & Analytics, EXL GurugramApr 2023 to Jan 2024
- MSBA, UMass BostonJan 2024 to May 2025
- Data Analyst intern, UMass President's OfficeSep 2024 to May 2025
- Manager, Technical Business Analyst, EXLOct 2025 to today
-
2012 to 2019
Where it started
A B.Tech from NIT Kurukshetra in 2016, then my first analyst job at WNS, reporting for health care and pharmaceutical clients.
-
2019 to 2024
What I built on
Sales forecasting and pricing at Campus Shoes, where I led a team of analysts. Then credit card marketing models at EXL for a North American bank.
-
2024 to today
Where I am now
An MSBA from UMass Boston in 2025, an internship at the UMass President's Office on enrollment data, and back at EXL since October 2025.
Education
MSBA, Master of Science in Business Analytics, Big Data
umass boston / jan 2024 to may 2025
Bachelor of Technology
national institute of technology kurukshetra / aug 2012 to may 2016
In the press
Senior Spotlight: Meet the Interns Helping to Shape UMPO (opens in a new tab)
umass office of the president / 29 apr 2025
Quick answers
Who is Sheena Yadav?
Sheena Yadav is a Data Science & Analytics Manager based in Boston, Massachusetts. She has nine years of experience across banking, retail and the public sector, and works at EXL.
What is Sheena Yadav's experience in data science and analytics?
Six roles since 2016: Data Analyst at WNS Global Services, Senior Data Analyst at Campus Shoes, Lead Assistant Manager and then Manager, Data Science & Analytics at EXL, Data Analyst intern at the University of Massachusetts President's Office, and Manager, Technical Business Analyst at EXL since October 2025.
Which tools does Sheena Yadav work with?
Python, R, SQL and SAS for analysis. Tableau, Power BI and Looker for dashboards. AWS, Google Cloud BigQuery, Snowflake and Databricks for data at scale.
How do I contact Sheena Yadav?
Email sheenayadavumb@gmail.com or message her on LinkedIn (opens in a new tab).
Sheena Yadav
Data Science & Analytics Manager
boston, massachusetts