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Python Data Analysis Projects

E-Commerce Product Range Analysis

Analyzed transaction history to identify category contribution, seasonal trends, and customer segments (RFM + clustering), translating findings into recommendations to improve assortment and revenue.
 

Focus: segmentation, trend analysis, hypothesis tests • Tools: Python,  Tableau.

A/B Test Audit

Reviewed and completed an incomplete A/B test for a recommendation system; uncovered design and data-integrity issues (allocation imbalance, missing/biased data), and recommended a redesign rather than acting on unreliable results.

Focus: experiment validation • Tools: Python, statistical testing.

A/A/B Analysis - User Behavior & New Fonts

​Built an event funnel, checked group-split quality (A/A), and evaluated an A/B variant; found no statistically significant conversion impact and documented where users drop off.

Focus: funnel + experimentation • Tools: Python, stats.

Gym Churn Analysis

Analyzed drivers of churn, built a baseline churn model and customer clusters, and translated segments into retention actions.

Focus: retention analytics • Tools: Python.

Restaurants in LA - Market Research & Data Storytelling

Analyzed open restaurant data to identify chain vs non-chain patterns, capacity trends, and high-performing streets; summarized findings into market-entry insights.

Focus: market sizing + segmentation • Tools: Python.

Trending YouTube Videos - Market Analysis

Compared category popularity and regional distribution patterns; produced insights for content/marketing strategy.

Focus: descriptive analytics • Tools: Python.

Marketing Expenses Optimization (Cohorts, LTV, CAC, ROI)

Evaluated acquisition channels and marketing spend efficiency using cohorts, LTV, CAC, and ROI; identified the most profitable sources and recommended budget reallocation.

Focus: BI-style KPI framework • Tools: Python(pandas, matplotlib, seaborn, plotly)

Telecom Plans – Revenue & Customer Behavior Analysis

Calculated monthly usage and revenue per customer, compared plan profitability, and tested differences by region using statistical hypothesis testing.

Focus: revenue KPIs + testing • Tools: Python, stats.

Phone

+972545332188

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Location: Haifa, Israel
Open to remote / hybrid roles · English working environment

© 2025 By Nina Garmash.
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