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Junior Data Analyst

City of residence:
Dnipro
Ready to work:
Dnipro, Remote

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Tetiana Holoporova
Junior Data Analyst

CONTACTS
Phone: [open contact info](look above in the "contact info" section) Email: [open contact info](look above in the "contact info" section)
Telegram LinkedIn
Dnipro, Ukraine

SUMMARY
I am an entry-level data analyst with hands-on experience in PostgreSQL and Python (Pandas, Seaborn, Matplotlib). I
can work with data, ask the right questions, identify patterns, and visualize results clearly. Open to both remote and
on-site collaboration, I learn quickly and am not afraid of challenging tasks.

HARD SKILLS
Google sheets, SQL, Python, Tableau, A/B Testing, conversion/ARPU/LTV/retention/churn, Data Visualization, Data
Storytelling, Statistics, Data Cleaning & Validation

TOOLS
Pivot tables, PostgreSQL, MySQL, Pandas, Matplotlib, Seaborn, DBeaver, Google BigQuery, Google Colab, NumPy,
Excel, Power BI, Jupyter Notebook

SOFT SKILLS
Teamwork, Helpfullnes, Time management, Self motivation, Punctuality, Being proactive, Responsibility, Desire to learn,
Information seeking, Critical thinking, Analysis and decision
making, Optimism, Kindness

LANGUAGES
English - pre-intermediate
Ukranian - native

PROJECT EXPERIENCE
Analysis of insurance risks of launching phone insurance in Ukraine
Describe: Provided a data-driven justification for launching a new smartphone insurance product in Ukraine. Analyzed 145k+ theft records (MVD Ukraine, 2021–
2026), combining market research with actuarial calculations to minimize insurer risks.
Tasks:
Data Cleaning & ETL: Cleared and transformed a 1M+ row dataset using BigQuery and Python; handled date anomalies and unified brand nomenclature across
inconsistent records.
Risk Analysis: Evaluated real risk factors by correlating theft frequency with market share (Mobile Vendor Market Share) to identify disproportionately targeted
brands.
Geo-analytics: Identified priority marketing zones (Kyiv, Dnipro, Zaporizhzhia regions) and calculated seasonal crime peaks to optimize advertising spend.
Fraud Prevention: Analyzed the latency between incidents and police reports to establish a 72-hour claim eligibility limit, reducing potential insurance fraud.
Result: Developed an interactive insurance premium calculator in Tableau incorporating brand risk (e.g., Xiaomi at 34% risk), device value, and insurer loading.
Identified a declining theft trend and peak seasonal windows, confirming a favorable market entry timing.

WORK EXPERIENCE
Nova Poshta - Dec 2019- July 2024
Senior specialist (operator)
-Supervised a team of 3–5 employees and monitored customer service speed, training staff to handle конфликтні ситуації, which led to a reduction in
customer complaints;
-Monitored key operational metrics, including loading/unloading speed and package handling quality, maintaining violation rates below 2% of total
incidents across the city.

Alef Estate - June 2017-October 2019
-Organized and led children’s events and parties, resulting in 80% repeat visits due to full customer satisfaction;
-Monitored safety and order in the play area, minimizing incidents and ensuring a secure experience for all visitors;
-Coordinated interactions with guests, creating a positive customer experience during their visit.

EDUCATION “IT School GoIT” 2025-2026

“Dnipro state agrarian and economic university” Vererinary medecine 2016-2018

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