Data Scientist
📧 [email protected] | 📞 +1 (778) 939-7183
🔗 LinkedIn | GitHub

Data Scientist with a strong foundation in machine learning, statistical modeling, and data engineering, combined with a PhD-level research background in applied mathematics and finance. Proven experience designing production-grade ML pipelines, evaluating generative AI models, and applying NLP and time-series techniques to real-world datasets. Adept at bridging theoretical concepts with practical implementation, with a track record of contributing to AI product development, academic research, and data-centric education. Passionate about building robust, interpretable, and scalable solutions that drive intelligent decision-making.

Machine Learning & AI
Supervised Learning · Regression & Classification · Computer Vision · NLP · LLM Evaluation · Generative AI · Prompt Engineering · Model Interpretability · Model Optimization · Transfer Learning

Data Science & Analytics
Statistical Analysis · Time-Series Forecasting · Data Cleaning & Preprocessing · EDA · Feature Engineering · Hypothesis Testing · A/B Testing · Data Visualization (Matplotlib, Seaborn, Plotly)

Programming & Tools
Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, OpenCV, NLTK, SpaCy) · SQL · PostgreSQL · pgAdmin · Jupyter Notebook · Git · VS Code

Pipelines & Engineering
ML Pipelines · Model Deployment · ETL · Data Integration · Workflow Automation

Other
Research Design · Academic Writing · Curriculum Development · Technical Mentoring

Outlier (Freelance · Remote)
Apr 2025 – Present

• Designed and answered advanced data science questions to support AI model training with high-quality, domain-specific inputs.
• Assessed AI-generated responses for accuracy, depth, and contextual relevance.
• Explored ML algorithms’ theoretical foundations to evaluate model behavior.
• Applied mathematical expertise to improve conceptual robustness of AI systems.

M2M Tech
Dec 2024 – Present

• Built and deployed end-to-end ML pipelines for image regression in production.
• Integrated models into factory systems, driving automation and operational insights.
• Optimized models for performance and accuracy using modern tuning methods.

Outlier
Mar 2024 – Present

• Evaluated and optimized generative AI outputs in mathematics and programming.
• Crafted challenging prompts and test cases for robustness testing.
• Provided feedback to improve mathematical accuracy and model alignment.

University of British Columbia (UBC)
Sep 2021 – Oct 2023

• Led research at the intersection of data science and finance, using predictive modeling and NLP.
• Performed large-scale data cleaning, analysis, and visualization.
• Built time-series models and explored financial applications of LLMs.
• Extracted and manipulated structured data using SQL.

UBC (Sauder School of Business)
Sep 2021 – Dec 2022

• Designed and taught courses on SQL, relational databases, and schema design.
• Delivered hands-on training in PostgreSQL and SQL via Jupyter Notebooks & PgAdmin.
• Focused on real-world application and performance optimization in queries.

• Master of Data Science ( University of British Columbia)

• Ph.D. Mathematics ( Bilkent University)

• B.Sc Mathematics ( Bilkent University)