ÖMER ADIGÜZEL
Data Scientist
Diyarbakir
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
2025
2025
years of professional experience
5
5
years of post-secondary education
Work History
Data Scientist
Eksim Invesment Holding
2 2022 - Current
- Streamlined data collection methods to minimize analysis errors.
- Created and implemented new forecasting models to increase company productivity.
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
- Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
- Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
- Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
- Applied statistical and algebraic techniques to interpret key points from gathered data.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Increased team collaboration with implementation of agile methodologies, facilitating cross-functional team engagement.
- Optimized machine learning models for predicting customer behavior, leading to more targeted marketing campaigns.
- Compiled, cleaned and manipulated data for proper handling.
- Developed polished visualizations to share results of data analyses.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
- Leveraged mathematical techniques to develop engineering and scientific solutions.
Education
Master of Science - Software Engineering
Fırat University
Elâzığ, Turkey 09.2023 - Current
Bachelor of Science - Electrical and Electronics Engineering
Dicle University
Diyarbakır, 21 09.2018 - 09.2022
Certificate - Game Development
Google & Patika.dev
Online 06.2022 - 08.2022
Skills
Problem-solving abilities
Projects
LLM Data Extractor, Python, LLM, Llama
The Llama model was trained to extract specific data from approximately 90,000 incoming contract documents in a short time. The relevant information was presented in table form, helping the company avoid delays and potential financial losses.
Energy Price Forecasting(PTF), Python, LSTM, Selenium
The future energy market clearing prices have been predicted using historical price data along with energy supply and demand quantities. The success rate ranges between 86% to 94%. This allows the company to purchase energy from the market at minimum prices and sell it at maximum prices.
Energy Consumption Forecasting, Python, Pandas, Prophet, DeepAR
Regional Electricity Distribution company's past yearly Energy Consumption data trained with Machine Learning algorithms and predicted future consumption values. With 91% success rate, company directly maximizes its profit by buying next month's energy with little margin of error. WhatsAppAI Chatbot, Python, Selenium, NLP
Automated Whatsapp with NLP techniques to help new employees. Created and implemented an object to simulate a menu design with selectable options.
Facial Identity Recognition, Python, Tensorflow, Keras, OpenCV
Created a class to detect faces via camera, take photos of faces and label them. Then trained Convolutional neural network to classify faces. Used for employee in and outs.
Sentimental Analysis, Python, Tensorflow, Keras, OpenCV
Trained Convolutional neural network to detect emotional states from live camera feed, implemented with Facial Identity Recognition mentioned above. Planned to use for job interviews.
Custom Object Detection, Python, YoloV5, YoloV8,
YoloV8, used with custom data, to detect regional Electricity Distribution company's equipments. Processes and detects huge amount of data in a very short time. Detects frauds in short matter of time to minimize loss, detected photos can be used as evidence.
Equipment's Lifetime Estimation, Python, SQL
Lifetime of equipments, used by Regional Electricity Distribution Company's in the field, estimated. Used for maintenance planning and reducing electricity power cuts.
Text Extraction From Images, Python, YoloV8, OpenMMLab
Serial numbers of equipments, used by Regional Electricity Distribution Company's in the field, detected and recognized from images. Processes and detects huge amount of data in a very short time. Detects frauds in short matter of time to minimize loss, detected photos can be used as evidence.
Fill And Save, Unity, C#,
Mobile game currently on USA and Germany app markets. Hyper-Casual Summer Challenge / Summer Games., play.google.com/store/apps/details?id=com.CatPaw.FillAndSave
Safety Man, Unity, C#,
Award winning mobile game about safety at work., Yalova Industrial Park, Turkey, youtu.be/eYy8YuZi6No
Third Person Shooter WIP, Unity, C#,
Third Person Shooter game WIP with multiple mechanisms., youtu.be/Ru3_Yd4hCI8
2D Platformer WIP, Unity, C#,
2D Platformer game WIP with multiple mechanisms., youtu.be/a_hcYNTuD3c
Timeline
Master of Science - Software Engineering
Fırat University
09.2023 - Current
Certificate - Game Development
Google & Patika.dev
06.2022 - 08.2022
Bachelor of Science - Electrical and Electronics Engineering
Dicle University
09.2018 - 09.2022
Data Scientist
Eksim Invesment Holding
2 2022 - Current