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Data analyst
- Рассматривает должности:
- Data analyst, Бізнес-аналітик, Аналітик
- Город проживания:
- Днепр
- Готов работать:
- Удаленно
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Heorhii Prokhorov
Junior Data Analyst
[открыть контакты ](см. выше в блоке «контактная информация») [открыть контакты ](см. выше в блоке «контактная информация») Poltava, Ukraine https://t.me/heopro2403
[открыть контакты ](см. выше в блоке «контактная информация»)
SUMMARY
Junior Data Analyst with practical experience in business and production analytics. Skilled in Python and SQL
for data cleaning, exploratory data analysis (EDA), hypothesis testing, and clustering. Experienced in KPI
development, cost per hectare calculation, and EBITDA analysis within agricultural operations. Motivated to
transform operational and financial data into structured reports and actionable business insights.
WORK EXPERIENCE
2021 – 2025 Agronomist, Garant-Agro 4
Developed and implemented a KPI system for the crop production segment (yield
•
per hectare, cost per hectare, margin, machinery productivity), ensuring
transparent performance tracking by crop and field.
Calculated production costs by crop and field (seeds, crop protection products,
•
fertilizers, fuel, land lease, depreciation, labor) with per-hectare breakdown.
Conducted plan-vs-actual analysis and identified key cost and yield variance
•
drivers.
Identified cost optimization opportunities and improved machinery and
•
workforce productivity through operational analytics.
Prepared analytical reports to support management decision-making on crop
•
structure and budgeting.
Achievements:
Achieved an 18% increase in EBITDA per hectare over the season by optimizing
•
costs and refining the crop mix.
Identified inefficient expenses totaling UAH 1.5 million and initiated cost
•
reduction measures, directly improving overall margin.
2018 – 2021 Deputy Director, Garant-Agro 4
Monitored operational KPIs (cost per hectare, yield, margin, machinery efficiency)
•
and provided regular performance analysis.
Supported budgeting and financial planning processes through data modeling,
•
forecasting, and variance analysis.
Improved data accuracy and consistency by streamlining data collection and
•
validation procedures.
Achievements:
Reduced reporting preparation time by 15% through automation and
•
standardization.
Enhanced management visibility over operational performance, accelerating
•
decision-making cycles.
HARD SKILLS
Python A/B Testing SQL Hypothesis Testing Exploratory Data Analysis (EDA)
Data Cleaning & Validation Clustering (Unsupervised Learning) Statistical Analysis
KPI Development Financial & Operational Data Analysis Product & Business Metrics. — Conversion
Rate, ARPU, LTV, Retention Rate, Churn Rate, EBITDA Agro Analytics Metrics — Yield Analysis, Cost per
Hectare / Tonne, Fuel Consumption Efficiency, NDVI & Crop Monitoring Data, Machine Downtime Analysis
Data visualization Data storytelling
Tools
Pandas NumPy
PostgreSQL Google BigQuery
Excel(Advanced) Google Sheets
Power BI Tableau
Jupyter Notebook Google Colab
PROJECT EXPERIENCE
A/B Testing – Subscription Pricing Strategy, Technologies: Python, Pandas, NumPy, Google Colab
Compared pricing strategies to evaluate impact on conversion rates. Conducted statistical hypothesis testing
and analyzed behavioral differences between user groups. Link: https://colab.research.google.com/drive/
180sdTSpevmEoltH3X7wx917YzqXMsUEv
Movie Data Analysis - JSON Processing & Trend Research, Technologies: Python, Pandas
Processed nested JSON datasets, performed data aggregation, and conducted trend analysis in Jupyter
Notebook using pandas. Link: https://colab.research.google.com/drive/
1AwP4mzhPQMKpu3EdEG7E3RDEI_tjdCD9
Clustering Model Training - Segmentation Practice, Technologies: Python, Pandas, NumPy
Trained unsupervised clustering model and interpreted resulting segments. Link: https://github.com/
Heorhiipro/Clustering-Model-Training-Segmentation-Practice
EDUCATION
09/2025 – 03/2026 IT School GoIT
Data Analyst
09/2018 – 12/2019 Agronomy, Dnipro State Agrarian University Dnipro, Ukraine
Master's Degree
09/2016 – 01/2018 Management of Organizations, National Mining University Dnipro, Ukraine
Master's Degree
LANGUAGES
English Ukrainian
Intermediate Native
Junior Data Analyst
[
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SUMMARY
Junior Data Analyst with practical experience in business and production analytics. Skilled in Python and SQL
for data cleaning, exploratory data analysis (EDA), hypothesis testing, and clustering. Experienced in KPI
development, cost per hectare calculation, and EBITDA analysis within agricultural operations. Motivated to
transform operational and financial data into structured reports and actionable business insights.
WORK EXPERIENCE
2021 – 2025 Agronomist, Garant-Agro 4
Developed and implemented a KPI system for the crop production segment (yield
•
per hectare, cost per hectare, margin, machinery productivity), ensuring
transparent performance tracking by crop and field.
Calculated production costs by crop and field (seeds, crop protection products,
•
fertilizers, fuel, land lease, depreciation, labor) with per-hectare breakdown.
Conducted plan-vs-actual analysis and identified key cost and yield variance
•
drivers.
Identified cost optimization opportunities and improved machinery and
•
workforce productivity through operational analytics.
Prepared analytical reports to support management decision-making on crop
•
structure and budgeting.
Achievements:
Achieved an 18% increase in EBITDA per hectare over the season by optimizing
•
costs and refining the crop mix.
Identified inefficient expenses totaling UAH 1.5 million and initiated cost
•
reduction measures, directly improving overall margin.
2018 – 2021 Deputy Director, Garant-Agro 4
Monitored operational KPIs (cost per hectare, yield, margin, machinery efficiency)
•
and provided regular performance analysis.
Supported budgeting and financial planning processes through data modeling,
•
forecasting, and variance analysis.
Improved data accuracy and consistency by streamlining data collection and
•
validation procedures.
Achievements:
Reduced reporting preparation time by 15% through automation and
•
standardization.
Enhanced management visibility over operational performance, accelerating
•
decision-making cycles.
HARD SKILLS
Python A/B Testing SQL Hypothesis Testing Exploratory Data Analysis (EDA)
Data Cleaning & Validation Clustering (Unsupervised Learning) Statistical Analysis
KPI Development Financial & Operational Data Analysis Product & Business Metrics. — Conversion
Rate, ARPU, LTV, Retention Rate, Churn Rate, EBITDA Agro Analytics Metrics — Yield Analysis, Cost per
Hectare / Tonne, Fuel Consumption Efficiency, NDVI & Crop Monitoring Data, Machine Downtime Analysis
Data visualization Data storytelling
Tools
Pandas NumPy
PostgreSQL Google BigQuery
Excel(Advanced) Google Sheets
Power BI Tableau
Jupyter Notebook Google Colab
PROJECT EXPERIENCE
A/B Testing – Subscription Pricing Strategy, Technologies: Python, Pandas, NumPy, Google Colab
Compared pricing strategies to evaluate impact on conversion rates. Conducted statistical hypothesis testing
and analyzed behavioral differences between user groups. Link: https://colab.research.google.com/drive/
180sdTSpevmEoltH3X7wx917YzqXMsUEv
Movie Data Analysis - JSON Processing & Trend Research, Technologies: Python, Pandas
Processed nested JSON datasets, performed data aggregation, and conducted trend analysis in Jupyter
Notebook using pandas. Link: https://colab.research.google.com/drive/
1AwP4mzhPQMKpu3EdEG7E3RDEI_tjdCD9
Clustering Model Training - Segmentation Practice, Technologies: Python, Pandas, NumPy
Trained unsupervised clustering model and interpreted resulting segments. Link: https://github.com/
Heorhiipro/Clustering-Model-Training-Segmentation-Practice
EDUCATION
09/2025 – 03/2026 IT School GoIT
Data Analyst
09/2018 – 12/2019 Agronomy, Dnipro State Agrarian University Dnipro, Ukraine
Master's Degree
09/2016 – 01/2018 Management of Organizations, National Mining University Dnipro, Ukraine
Master's Degree
LANGUAGES
English Ukrainian
Intermediate Native
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