Hello, I'm

Emil George Mathew

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Transforming complex data into actionable insights that drive growth and strategic decisions

$0M+ Ad Spend
0% Performance Improvements
0+ Clients Managed
View Resume View My Work Get in touch
Emil George Mathew

Meet Emil

Business / Data Analyst with strong experience in analytics, business intelligence, marketing technology, and machine learning across marketing, retail, and operations.

I translate complex data into measurable business impact driving revenue growth and informed decision-making using SQL, Python, Tableau, Power BI, and forecasting models.

Previously, I led performance marketing analytics at ClearPier Performance Inc where I improved client KPIs through data-driven optimization, cross-functional collaboration, and strategic insights.

In 2024, I transitioned back to student life as a Business Analytics candidate at University of Maryland. I further enhanced my skills in analytics, leading projects, winning case competitions, meeting industry leaders and was a Graduate Assistant.

I am open to full-time opportunities in Marketing Technology, Analytics or Data Scientist roles in 2026.

Skills & Technologies

Programming & Libraries

Python
pandasnumpyscikit-learnpytorchtensorflow
SQL
AggregationsJoinsCTEsWindow FunctionsSubqueries
R
tidyverseggplot2shinyRmarkdown

Visualization & BI

Tableau
AdvancedTabPyTableau CloudSpatial Analysis
Power BI
PL-300 CertifiedDAXTime Intelligence
Looker & Google Analytics
Data StudioCustom ReportsWeb Analytics

Cloud & Databases

AWS
S3EC2RedshiftAthena
BigQuery
BigQuery MLLooker BI
MS SQL Server
T-SQL

Tools & Platforms

Microsoft Excel
Power QueryPivot TablesData Analysis and Visualization
Performance Marketing
AppsflyerProtect360BranchSingular
Other
GitJiraConfluenceRestful APIsMS PowerPoint

Experience

Capstone Project

Business Analyst
Sep 2025 - Dec 2025
  • Built a multi-model machine learning demand forecasting pipeline across 100+ stores, achieving 6.2% MAPE and 0.012 bias, improving forecast accuracy by 18% and reducing labor misallocation and employee overtime.
  • Led the deployment of an AI-driven analytics automation system, leveraging FastAPI for backend services, Gemini API for natural-language querying, and ETL workflows to streamline data ingestion and processing.
  • Delivered self-serve analytics to store managers via a Streamlit UI and interactive visualizations, reducing manual analysis time by 70% and accelerating decision-making by 40%.
XGBoost CatBoost Prophet LSTM FastAPI Streamlit Gemini API

ClearPier Performance

Account Manager / Data Analyst
May 2022 - Aug 2024
  • Owned day-to-day analytics using MMPs, SQL and Excel for multiple high-revenue clients to improve campaign performance by 35% and generated $600K+ incremental annual revenue across APAC.
  • Optimized 15+ high-value marketing User Acquisition / Retargeting campaigns ($100k+ monthly) using Mobile Measurement Platforms (Appsflyer, Singular) reducing Protect360 ad fraud by 40% through cross-functional collaboration with operations, partnerships team and saving approximately $40,000 per month.
  • Led strategic partnerships and communication for 15+ clients, gathered requirements and translated business requirements to optimize for Key Performance Indicators (KPIs) by 30% using PowerBI dashboards.
  • Analyzed data via SQL queries on Apache Superset to identify low ROI partners, negotiated with potential partners and reinstated terms, driving a 20% conversion rate lift.
  • Built ad hoc reports when required and automated weekly reports that lowered manual reporting effort by 40%.
  • Presented to executive stakeholders (CEO, CTO, GM) with data-driven insights to support strategic decision-making.
SQL PowerBI Appsflyer Apache Superset Excel

Yelohi Media

Account Executive / Data Analyst
Nov 2021 - Apr 2022
  • Reduced ad fraud by 35%+ and improved margins by 20% by analyzing historical sales and publisher data
  • Improved conversion rates by 25% and cut cost inefficiencies by 20% through data analysis
  • Collaborated with cross-functional teams (Technology, Product, Sales) presenting data insights for decision making
Excel Data Analysis Reporting Performance Marketing Mobile Measurement Platforms

Featured Projects

Demand Forecasting using ML
Featured Project

Demand Forecasting using ML

Objective: To optimize workforce allocation for 1.1 million associates to tackle high attrition rates.

Project: Developed a predictive model across 100+ stores that achieved a 6.3% MAPE and a near-zero positive bias, providing stable 5-week-ahead inbound case forecasts to drive more efficient staffing allocation reducing overtimes.

Result: This data-driven approach directly addresses employee attrition, where even a 1% improvement in retention translates into double-digit million-dollar savings in annual operational costs.

  • XGBoost
  • CatBoost
  • LSTM
  • Prophet
  • Python
AirBnb High Booking Rate Prediction
Featured Project

AirBnb High Booking Rate Prediction

Objective: Analyze Airbnb data to predict high booking rates across listings using predictive analytics.

Project: Built a multi model ensemble pipeline (XGBoost, CatBoost, Logistic Regression) to predict high-booking listings using 92K+ records and 70+ engineered features, achieving AUC 0.92 and 87.3% accuracy.

Result: Recommended hosts to improve strategies (no hidden fees, better response time, clear house rules) to get the highest rating and enabling revenue growth and high-ROI from listings.

  • XGBoost
  • CatBoost
  • Logistic Regression
  • Python
OTT Analysis
Analytics Project

OTT Analysis

Objective: Conduct a comparative analysis of the content personalities of three major streaming giants: Disney+, Netflix, and Amazon Prime Video.

Project: Create an exploratory data analysis in Tableau to provide insights into the content library of leading over-the-top content streaming platforms.

Result: The streaming platforms compete for the same subscribers; however, they do not offer the same product. Prime Video wins on sheer volume and drama; Netflix wins on international variety and documentaries; and Disney+ wins on brand-loyal, family-centric niches.

  • Tableau
  • Data Analysis
  • Data Visualization
Amtrak SQL Project
SQL Project

Amtrak SQL project

Objective: Analyze Amtrak's ridership, on-time performance, and spending from 2021 to 2023, to show how budget allocations directly impact service reliability across different states.

Project: Performed data preprocessing and built a SQL database using MS SQL Server and used advanced SQL to query data to Tableau to provide insights on performance of trains and track millions in spending.

Result: Pinpointed a major reliability dip in 2022, identified California as a key performance benchmark, delivered strategic recommendations to Amtrak stakeholders to optimize resource allocation and customer experience.

  • MS SQL Server
  • Advanced SQL
  • Tableau

Education

University of Maryland

Master of Science, Business Analytics Aug 2024 - Dec 2025
  • Dean's Award for AI Case Competition
  • Capstone Project with Walmart
  • Graduate Assistant
  • Terrapin Scholarship Recipient
  • Smith Master's Students Association Ambassador

Mahatma Gandhi University

Bachelor of Science, Electronics Jun 2018 - Mar 2021
  • 1st Rank in Class
  • Electronics Club Member
  • Volunteer for Donation Camps
  • Led Workshop for 50+ Students
  • Outstanding Student Award

Get in touch

I'm currently looking for new opportunities where I can contribute my data analytics expertise and drive business impact. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Email emilgmathew@gmail.com
Phone 240-467-0150
Location Atlanta, GA Open to relocation