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INNA KUZMINSKA
DATA ANALYST
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Data Analyst with a background in Business Analysis and Project Management. Skilled in SQL, Power BI, Python
(Pandas), and exploratory data analysis. Experienced in working with complex datasets, building dashboards,
improving reporting processes, and supporting data-driven decision-making. Seeking a Data Analyst role to apply
analytical skills and deliver actionable insights.
EXPERIENCE
Orientyr - AI Career Guidance Platform 01.2026 - Present
Automation Builder & Founder
Designed and built a multi-step automation pipeline in Make connecting form submissions, LLM API calls
(Claude), and Supabase data storage.
Integrated REST APIs end-to-end: structured request/response handling, JSON parsing, and error handling
for failed or malformed responses.
iSolar 11.2024 - 12.2025
Business Analyst/Project Manager
Analyzed operational and project data to identify bottlenecks and improve delivery predictability.
Built weekly reports, visualizations, and KPI dashboards for management (Excel / Power BI).
Collaborated with engineering teams to collect requirements and ensure data-driven decision-making.
Improved data transparency by introducing structured Jira reporting, reducing manual reporting time by 25%.
Conducted root-cause analysis for delays and quality issues.
TECHNICAL SKILLS

SQL (PostgreSQL, MySQL): joins, window functions, CTEs, data cleaning
Python: Pandas, NumPy
Power BI / Tableau: dashboards, DAX basics
Excel: PivotTables, VLOOKUP/XLOOKUP, Power Query
Tools: Jira, Confluence, GitHub
n8n / Make
EDUCATION

Science Entrepreneurship Technology University 10.2025 – Present
Master’s Degree in Computer Science and Innovation Engineering
Focus on Data structures, statistics, machine learning basics, control systems.

Khmelnitskiy National University 09.2021 – 06.2025
Bachelor’s Diploma in Computer Engineering
Diploma work: Computer network with access control
Papers: Technological Singularity, The use of neural networks in English language learning
Activities: Member of student self-government, Adaptation tutor for freshman

PROJECTS

1. Sales Analytics Dashboard (Power BI)
• Cleaned and transformed retail dataset (50k+ rows) using Power Query
• Built interactive dashboard showing sales, profit, seasonal trends
• Identified top-performing product categories (↑15% YoY)
2. Customer Churn Prediction (Python, Pandas)
• Conducted EDA and feature analysis
• Built logistic regression baseline model
• Improved accuracy by 12% through feature engineering
3. SQL Data Cleaning Project
• Processed database of customer orders
• Wrote queries for outlier detection, removing duplicates, normalizing values
• Automated weekly reporting with SQL views