
Shalva Gamkrelidze
@shalvagamkrelidze
Data Analyst at Panex who automated Excel/VBA reporting and built a solar power generation prediction model.
What I'm looking for
At Panex, I gathered requirements from internal teams and delivered daily sales analysis using data from CRM and production systems. I also built automated Excel/VBA reporting systems to replace manual workflows and improve data accuracy.
For my MBA thesis at Georgian-American University, I built a supervised model that combines historical production and weather data to predict solar power generation. I also developed a pipeline to analyze Georgian job-market data, extracting hiring trends, in-demand skills, and salary benchmarks from vacancy postings.
Experience
Work history, roles, and key accomplishments
Data Analyst (Sales and Production)
Panex
May 2025 - Jul 2026 (1 year 2 months)
Gathered and analyzed requirements from internal stakeholders, delivered daily analytical reports, and built automated Excel/VBA reporting systems to improve data accuracy.
Operational Specialist
Georgian Agro House
Jul 2022 - May 2025 (2 years 10 months)
Monitored and reported daily operational KPIs, structured and analyzed operational data, and coordinated with branch managers and suppliers to ensure smooth supply chain processes.
Education
Degrees, certifications, and relevant coursework
Georgian-American University (GAU)
Master of Business Administration, Business Administration
2022 -
Pursuing a Master of Business Administration with a focus on machine learning applications, including a thesis on solar power output prediction.
Georgian Agrarian University
Bachelor of Food Processing Technologies, Food Processing Technologies
2018 - 2022
Earned a Bachelor of Food Processing Technologies, gaining foundational knowledge in food science and processing.
Coursera
IBM Machine Learning Professional Certificate, Machine Learning
Completed the IBM Machine Learning Professional Certificate, covering supervised and unsupervised learning, regression, classification, deep learning, and model evaluation with Python.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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