Mustafa Çağlar, Data Scientist and Developer in London, United Kingdom
Mustafa Çağlar

Data Scientist and Developer in London, United Kingdom

Member since January 24, 2022
Mustafa holds a Physics Ph.D. from the University of Cambridge and has five years of academic data science experience. In addition, he has over three years of commercial experience working within fast-paced startups. With published papers, he can write in a concise, informative, and professional manner alongside producing production-quality visualizations. Mustafa also specializes in using AI and ML techniques to solve business problems.
Mustafa is now available for hire


  • Faethm
    AWS, Time Series Analysis, Forecasting, Python, Data Science, Agile, Looker...
  • Tymit
    Python, AWS, Amazon SageMaker, Regression, Classification...
  • The Francis Crick Institute
    Python, TensorFlow, SQL


  • Research 6 years
  • Python 5 years
  • Predictive Analytics 4 years
  • Classification 4 years
  • Regression 4 years
  • SQL 4 years
  • Data Science 4 years
  • AWS 2 years


London, United Kingdom



Preferred Environment

PyCharm, Visual Studio Code, Python, AWS, MacOS, Jupyter Notebook

The most amazing...

...model I've developed and deployed is for a UK financial institution to flag and score fraudulent transactions in real-time.


  • Senior Data Scientist

    2022 - PRESENT
    • Mined data across a variety of sources using NLP and warehousing.
    • Forecasted medium-long term trends in workforce behaviors.
    • Communicated with stakeholders and clients via a proprietary SaaS platform.
    Technologies: AWS, Time Series Analysis, Forecasting, Python, Data Science, Agile, Looker, SQL, Data Scraping
  • Full-stack Data Scientist

    2020 - 2022
    • Created the entire analytics function moving the company from SharePoint and Excel to AuroraDB and BI tools Looker and Metabase.
    • Developed and deployed a credit risk model to reduce financial loss and increase credit approvals.
    • Implemented a pipeline to process user survey responses.
    • Optimized conversion rate via social network advertisements.
    • Implemented and improved facial recognition services atop AWS Rekognition.
    Technologies: Python, AWS, Amazon SageMaker, Regression, Classification, Natural Language Processing (NLP), Predictive Modeling, Predictive Analytics, Data Warehousing, Data Science, SQL
  • Data Scientist | Visiting Fellow

    2020 - 2020
    The Francis Crick Institute
    • Developed a completely novel approach allowing live-cell classification.
    • Directed impact to shaping how future experiments will be designed for Alzheimer's cell classification.
    • Generated real insight into Parkinson’s drug efficacy by way of model interpretability.
    Technologies: Python, TensorFlow, SQL
  • Researcher | Postgraduate

    2015 - 2020
    University of Cambridge
    • Created fully automated data pipelines to perform live analysis and machine learning on data streams, warehoused in Azure.
    • Analyzed large datasets with complex regression functions in MATLAB and R in order to demonstrate novel physical concepts.
    • Contributed and authored three high-impact journal papers showcasing visualizations created in Python and insights garnered using machine learning.
    • Taught laboratory practicals in C++ and Python to undergraduates at the University of Cambridge; overall, four cohorts of 20 students.
    • Supervised and mentored four master's students through year-long projects with topics ranging from computer vision to complex classification.
    Technologies: Python, Machine Learning, Azure, Regression, Classification, ImageJ, Machine Vision, Data Science, SQL
  • Consultant Engineer

    2015 - 2015
    • Developed an algorithm in MATLAB for measuring curliness in hair from a photograph and translated it to OpenCV implementation on iOS and ARM devices.
    • Created a native iOS app, published to the AppStore, to communicate and monitor implanted pacemakers.
    • Worked on internal data collection and analytics using Python to streamline project budgets by optimizing project assignments.
    Technologies: C++, Python, Analysis, iOS, MATLAB, OpenCV


  • Scorecard for Credit Worthiness

    A high dimensional model developed in Python to consume data from credit bureaus, such as Experian, combined with mined behavioral features to provide a risk of default score to each applicant. The model is tuned according to the company's KPIs, deployed, and currently in use in production.

  • Atomic Image Reconstruction Using Neural Networks

    A Python module created to construct high-resolution atomic imagining from electron wave functions. A trained neural network is used to fit as closely as possible to wave functions. The subsequent functions are using alongside PyQSTEM to reconstruct very high-resolution images.

    It was published in ACS Nano.

  • Detecting DNA Translocation Signal

    DNA strands moving through a hole and pore can create electrical signals that can be used to sequence the base pairs present. However, these signals are weak and significantly weaker than the overpowering random noise. Signal analysis techniques and clustering algorithms are used to unpick signals from noise and identify different lengths and composition of DNA present in samples.

    It was published in IOP.


  • Languages

    Python, SQL, C++, C, Verilog, R
  • Tools

    PyCharm, MATLAB, Amazon SageMaker, Looker, ImageJ
  • Paradigms

    Data Science, Agile
  • Platforms

    MacOS, Visual Studio Code, Jupyter Notebook, Azure, iOS
  • Other

    Research, Technical Writing, Regression, Classification, Predictive Modeling, Predictive Analytics, AWS, Publishing, Natural Language Processing (NLP), Time Series Analysis, Forecasting, Data Warehousing, Data Scraping, Signal Processing, Digital Signal Processing, Computer Vision, Clustering, Machine Learning, Machine Vision, Analysis
  • Libraries/APIs

    TensorFlow, Keras, OpenCV


  • Doctorate Degree in Physics
    2016 - 2019
    University of Cambridge - Cambridge, UK
  • Master's Degree in Electrical Engineering
    2015 - 2016
    University of Cambridge - Cambridge, UK
  • Undergraduate Master's Degree in Electrical Engineering
    2011 - 2015
    University of Southampton - Southampton, UK

To view more profiles

Join Toptal
Share it with others