Melis Gezer

MG

Open to opportunities

Melis Gezer

@melisgezer

Aspiring Data Scientist turning math and ML into actionable risk insights.

What I'm looking for

I’m looking for a role where I can use SQL, EDA, and machine learning to deliver risk and anomaly insights. I want to turn analysis into actionable decisions, collaborate with business teams, and keep building reliable models with strong evaluation.

I’m a Data Scientist transitioning from advanced mathematical training into industry-focused analytics. With a PhD in Mathematics, I designed combinatorial algorithms and used Markov Chain Monte Carlo methods (random walks) to analyze statistical properties, and I’ve supported learning as a Teaching Assistant.

As a Data Science & Analytics Trainee at Workintech, I build practical pipelines for real business needs. I’ve worked on data preprocessing, exploratory data analysis (EDA), SQL, and data visualization, and I’ve built and evaluated machine learning models for classification—especially for risk and anomaly detection—translating findings into actionable insights for data-driven decision making.

I strengthen my skills through end-to-end projects like IMDb Movie Analytics dashboards and Kaggle work in fraud detection and credit risk analysis. I focus on handling real-world data challenges (like imbalanced transactions), comparing models (Decision Tree, Random Forest, Extra Trees, XGBoost), and using clear evaluation metrics (classification metrics and confusion matrix) to drive better decisions.

Experience

Work history, roles, and key accomplishments

WO

Current

Data Science Trainee

Current

Workintech

Aug 2025 - Present (8 months)

Performed data preprocessing and exploratory data analysis using SQL and built data visualizations. Trained and evaluated classification machine learning models for risk and anomaly detection, translating findings into actionable, data-driven decisions.

SQL Python Machine Learning Logistic Regression XGBoost Data Visualization data preprocessing Data Modeling

KS

Business Analyst Intern

Kafein Technology Solution

Jan 2020 - Feb 2020 (1 month)

Used SQL to query and report on data while supporting analytical tasks tied to business requirements. Contributed to internship deliverables focused on basic reporting and analysis.

SQL Reporting Data Analysis Business Requirements Data Visualization

II

IT Intern

Intertech Information Technology And Marketing Inc.

Jul 2017 - Aug 2017 (1 month)

Gained exposure to Agile and Waterfall methodologies by participating in fundamental project and requirements workflows. Supported early-stage work focused on requirements and delivery processes.

Agile Waterfall Requirements Gathering Workflows Data Analysis Collaboration

Education

Degrees, certifications, and relevant coursework

NU

North Dakota State University

Doctor of Philosophy (PhD), Mathematics

2024 - 2025

Activities and societies: Teaching Assistant.

Completed advanced graduate-level coursework in Mathematics and transitioned to industry. Served as a Teaching Assistant during the program.

BU

Bilkent University

Master of Science (MS), Mathematics

2021 - 2024

Activities and societies: Teaching Assistant. Funded by TÜBİTAK (Grant No. 120F352, 2021–2024).

Designed combinatorial algorithms and applied Markov Chain Monte Carlo (random walk) methods to analyze statistical properties of combinatorial classes.

YU

Yildiz Technical University

Bachelor of Science, Mathematical Engineering

2015 - 2020

Studied Mathematical Engineering with a curriculum focused on algorithms and coding to build quantitative analysis and problem-solving foundations.

Tech stack

Software and tools used professionally

GitHub

Istanbul

Gmail

SQL

XGBoost

Monte Carlo

Matrix

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