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Tymofii Yaremka
Junior Data Analyst
Phone:[open contact info ](look above in the "contact info" section) | Email:[open contact info ](look above in the "contact info" section) |
Linkedin:[open contact info ](look above in the "contact info" section) | Location:Kyiv, Ukraine
SUMMARY
Data Analyst focused on product & marketing analytics. Strong in SQL, Python and BI tools.
Experienced in funnel analysis, cohort & retention analysis, unit economics, KPI development and A/B
testing. Transform data into actionable business insights.
SKILLS
SQL, Python (Pandas, NumPy, Scikit-learn), BigQuery, Power BI, Tableau, Excel, Google Sheets, A/B
Testing, Funnel & Cohort Analysis, Retention, Unit Economics, EDA, Statistics, Data Visualization,
Data Storytelling, Data Cleaning & Validation
PROJECT EXPERIENCE
Product Growth & Retention Analysis (SaaS) — SQL, Python, Tableau
• Built full funnel (Visit → Sign Up → Trial → Paid), calculated CVR per stage
• Conducted cohort & retention analysis; measured churn dynamics
• Segmented users by channel and behavior; identified activation drivers
• Calculated ARPU, LTV, Retention, Churn
recommendations. 🔗
Result: identified trial-stage drop-off and retention growth drivers; onboarding optimization
https://github.com/rahmasayed18/saas-product-analytics
Marketing & Unit Economics Optimization — SQL, Python, Power BI
• Calculated CAC, ROAS, LTV, LTV/CAC, payback period
• Compared attribution models; analyzed traffic quality & churn
• Built automated KPI dashboard
🔗
Result: detected inefficient budget allocation; ~20% ROI improvement
potential. https://github.com/analyticsdojo/marketing-analytics-with-python
Churn Prediction Model — Python, Scikit-learn
• EDA on behavioral & transactional data
• Feature engineering (engagement rate, inactivity gap)
• Logistic regression, ROC-AUC evaluation (76% accuracy)
🔗
Result: identified key churn drivers for retention
campaigns. https://github.com/PacktPublishing/Python-for-Data-Science-Projects/tree/master/Chapter10
EDUCATION
GoIT Data Analytics Program (2025)
Kyiv National Economic University
Bachelor’s Degree, Economics 2020 – 2024
LANGUAGES
English — Upper-Intermediate | Ukrainian — Native
Junior Data Analyst
Phone:[
Linkedin:[
SUMMARY
Data Analyst focused on product & marketing analytics. Strong in SQL, Python and BI tools.
Experienced in funnel analysis, cohort & retention analysis, unit economics, KPI development and A/B
testing. Transform data into actionable business insights.
SKILLS
SQL, Python (Pandas, NumPy, Scikit-learn), BigQuery, Power BI, Tableau, Excel, Google Sheets, A/B
Testing, Funnel & Cohort Analysis, Retention, Unit Economics, EDA, Statistics, Data Visualization,
Data Storytelling, Data Cleaning & Validation
PROJECT EXPERIENCE
Product Growth & Retention Analysis (SaaS) — SQL, Python, Tableau
• Built full funnel (Visit → Sign Up → Trial → Paid), calculated CVR per stage
• Conducted cohort & retention analysis; measured churn dynamics
• Segmented users by channel and behavior; identified activation drivers
• Calculated ARPU, LTV, Retention, Churn
recommendations. 🔗
Result: identified trial-stage drop-off and retention growth drivers; onboarding optimization
https://github.com/rahmasayed18/saas-product-analytics
Marketing & Unit Economics Optimization — SQL, Python, Power BI
• Calculated CAC, ROAS, LTV, LTV/CAC, payback period
• Compared attribution models; analyzed traffic quality & churn
• Built automated KPI dashboard
🔗
Result: detected inefficient budget allocation; ~20% ROI improvement
potential. https://github.com/analyticsdojo/marketing-analytics-with-python
Churn Prediction Model — Python, Scikit-learn
• EDA on behavioral & transactional data
• Feature engineering (engagement rate, inactivity gap)
• Logistic regression, ROC-AUC evaluation (76% accuracy)
🔗
Result: identified key churn drivers for retention
campaigns. https://github.com/PacktPublishing/Python-for-Data-Science-Projects/tree/master/Chapter10
EDUCATION
GoIT Data Analytics Program (2025)
Kyiv National Economic University
Bachelor’s Degree, Economics 2020 – 2024
LANGUAGES
English — Upper-Intermediate | Ukrainian — Native
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The candidate's resume is posted at https://www.work.ua/resumes/20620528/