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Shalva GamkrelidzeSG
Looking for a job

Shalva Gamkrelidze

@shalvagamkrelidze

Data Analyst at Panex who automated Excel/VBA reporting and built a solar power generation prediction model.

Georgia
Message

What I'm looking for

I'm aspiring to become a Machine Learning Engineer and am developing my skills in deep learning and ML engineering tools.

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

PA

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.

Education

Degrees, certifications, and relevant coursework

Georgian-American University (GAU) logoGG

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 logoGU

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 logoCO

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

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