Hi, I'm

Jessica Leo

Data Analyst

I find stories in spreadsheets and patterns in chaos. Whether it's understanding why players spend money in gacha games or why customers churn from banks, I dig into data until it makes sense.

See What I've Built

About Me

I'm a third-year Information Systems student at Universitas Pelita Harapan, racing through an accelerated program. I spend most of my time wrangling datasets, building models, and trying to figure out why people do what they do, especially in games.

I'm looking for junior analyst roles where I can apply data to real product or business decisions, especially in gaming.

Outside of that, I spend a lot of time playing Genshin Impact and Honkai Star Rail. It's part of why gacha monetization patterns interest me.

What I Do

Data Analysis

I dig through messy datasets with SQL and Python until they tell me something useful. Cleaning data isn't glamorous, but finding the story in it is.

A/B Testing

Running experiments to see what actually works. Statistical significance matters, but so does knowing when a 2% lift isn't worth the engineering effort.

Predictive Modeling

Forecasting player counts and modeling churn risk with time series and survival analysis. Not fortune-telling—just math that sometimes works.

Data Visualization

Making charts and dashboards that people actually understand. Power BI, Excel, Python—whatever gets the point across.

Skills

Python SQL (SQLite) Excel (PivotTables) Power BI Pandas & NumPy Matplotlib & Seaborn Prophet (Time Series) Lifelines (Survival Analysis) A/B Testing Statistical Analysis Git & GitHub

Projects

Gaming Analytics

Mobile Game Monetization Analysis

Analyzed in-app purchase behavior and whale segmentation using SQL and Excel. Identified top revenue drivers and user retention patterns.

SQL Excel Slide Deck
GitHub →

Gacha Player Behavior RFM Segmentation

Built an RFM segmentation model and Power BI dashboard to classify player spending patterns in gacha games. Known limitation: Monetary and Frequency are correlated, documented in the README.

Python RFM Analysis Power BI
GitHub →

CS:GO/CS2 Player Count Forecasting

Time series forecasting using Facebook Prophet to predict player count trends across CS:GO and CS2 eras. MAPE: 11.57% (CS2 era).

Python Prophet Time Series
GitHub →

Business Analytics

Olist Seller Performance Analysis

SQL-driven analysis of Brazilian e-commerce seller performance, revenue trends, and delivery metrics. Built 12 Excel visualizations.

SQL (SQLite) Excel PivotTables
GitHub →

Bank Customer Churn Survival Analysis

Cox Proportional Hazards model of churn risk. Found 2-product customers had 70% lower risk; Germany showed 78% higher risk.

Python Lifelines Survival Analysis
GitHub →

E-commerce A/B Testing Simulation

Designed and analyzed a simulated A/B test with SRM check, power analysis, and segmented HTE. New paid-ads users: +6.84pp conversion lift (p < 0.001).

Python A/B Testing Statistical Inference
GitHub →

Resume

Education

2024 - 2028

Universitas Pelita Harapan

B.S. Information Systems (Accelerated Track)

Focus: Data Analytics & AI

Certifications

2026

  • Google Data Analytics Professional Certificate
  • IT Specialist - Data Analytics by Certiport, a Pearson VUE business

Technical Skills

Core Competencies

  • Python (Pandas, NumPy)
  • SQL (SQLite)
  • Power BI & Excel Analytics
  • Statistical Analysis & A/B Testing
  • Time Series & Survival Analysis

Want the full picture? Download my complete resume below.

Download Resume (PDF)

Get In Touch

Looking for internships or junior analyst roles. If you're hiring or just want to talk about data and games, hit me up.