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I am a Data Scientist with a PhD and an engineering background, grounded in statistics and long-term analytical work, with a recent focus on applied machine learning. I work with forecasting and applied ML models, including financial time-series forecasting developed in freelance projects, aiming to produce outputs that support operational and planning decisions. My approach is shaped by extended research practice and an attention to organizational and social context, which I carry into applied work through hands-on model development, clear documentation, and collaboration with non-technical stakeholders. I am immediately available to take on new work.…I am a Data Scientist with a PhD and an engineering background, grounded in statistics and long-term analytical work, with a recent focus on applied machine learning. I work with forecasting and applied ML models, including financial time-series forecasting developed in freelance projects, aiming to produce outputs that support operational and planning decisions. My approach is shaped by extended research practice and an attention to organizational and social context, which I carry into applied work through hands-on model development, clear documentation, and collaboration with non-technical stakeholders. I am immediately available to take on new work.

Aybike Alkan

Data Scientist, Data Analyst, AI Engineer

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I am a Data Scientist with a PhD and an engineering background, grounded in statistics and long-term analytical work, with a recent focus on applied machine learning. I work with forecasting and applied ML models, including financial time-series forecasting developed in freelance projects, aiming to produce outputs that support operational and planning decisions. My approach is shaped by extended research practice and an attention to organizational and social context, which I carry into applied work through hands-on model development, clear documentation, and collaboration with non-technical stakeholders. I am immediately available to take on new work.…I am a Data Scientist with a PhD and an engineering background, grounded in statistics and long-term analytical work, with a recent focus on applied machine learning. I work with forecasting and applied ML models, including financial time-series forecasting developed in freelance projects, aiming to produce outputs that support operational and planning decisions. My approach is shaped by extended research practice and an attention to organizational and social context, which I carry into applied work through hands-on model development, clear documentation, and collaboration with non-technical stakeholders. I am immediately available to take on new work.

Available to hire

I am a Data Scientist with a PhD and an engineering background, grounded in statistics and long-term analytical work, with a recent focus on applied machine learning.
I work with forecasting and applied ML models, including financial time-series forecasting developed in freelance projects, aiming to produce outputs that support operational and planning decisions. My approach is shaped by extended research practice and an attention to organizational and social context, which I carry into applied work through hands-on model development, clear documentation, and collaboration with non-technical stakeholders. I am immediately available to take on new work.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Intermediate

Turkish

Fluent

Work Experience

Data Scientist at etko.app

April 1, 2025 - Present

Built and deployed a BERT-based classifier for event tagging, improving F1 score from 70% to 92%, with ongoing evaluation on newly incoming data. Developed an OpenAI-powered entity extraction pipeline for event metadata, supporting downstream analytics and automation. Implemented SQL-based analytics pipelines (Supabase) to track user behavior and support product decisions. Worked with engineers to integrate models into production workflows, considering monitoring, data drift, and retraining needs.

Scientific Research Associate at Technical University of Berlin

October 8, 2021 - September 30, 2023

Led a multi-year research project on technological infrastructures, urban development, and social justice, designing analytical frameworks and running mixed-method analyses. Developed and taught graduate-level course on technology, policy, and social justice, translating complex technical concepts for diverse audiences. Presented findings to interdisciplinary audiences, developing a clear communication style that connects technical detail with broader questions of decision-making.

Co-founder and Project Manager at STS Istanbul – Research Platform

January 1, 2016 - January 1, 2022

Managed and curated a digital content platform, overseeing data organization, categorisation, and analysis for a research-focused blog.

Doctoral Researcher and Research Assistant at Koç University, Sociology Department

January 1, 2015 - August 10, 2021

Conducted a comprehensive data-driven study of urban planning policies across Turkey, combining qualitative coding with statistical analysis in R, and published findings in peer-reviewed international journals. Processed and analyzed large volumes of unstructured policy documents, legal texts, and administrative records. Developed analytical frameworks and coding schemes applicable to structured data extraction.

Data Scientist / Data Analyst (Remote) at Freelance

February 3, 2025 - Present

Worked with research-oriented clients on exploratory and applied data analysis projects, often starting from loosely defined questions and messy datasets. The focus of my work is end-to-end analysis: framing the problem, assessing data quality, and producing results that support planning and strategic decision-making rather than isolated model performance. I have conducted time-series analysis and forecasting to identify trends, seasonality, and uncertainty in environmental and operational indicators. I regularly build reproducible analytical workflows in Python, including data validation, transformation logic, statistical testing, and clear visual outputs. Alongside this, I have developed NLP-based classification and thematic analysis pipelines for unstructured text, translating qualitative material into structured, usable insights. Findings are communicated through concise narratives and visualisations tailored to non-technical stakeholders and clients from non-data backgrounds.