Mustafa Çağlar
Verified Expert in Engineering
Data Scientist and Developer
With a PhD in physics from Cambridge University, Mustafa has over five years of data science experience, including three years in fast-paced startups. His published work showcases exceptional visualization skills. An expert in applying AI to business challenges, he has collaborated with military organizations, NGOs, and fintech and civil service clients. Specializing in deep learning and computer vision, Mustafa adopts an iterative Agile workflow for rapid development.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, Visual Studio Code (VS Code), Python, Amazon Web Services (AWS), MacOS, Jupyter Notebook
The most amazing...
...thing I've achieved is revolutionizing a document digitization pipeline for the entire UK, leveraging AI to enable a remarkable 50% manual effort reduction.
Work Experience
Senior Data Science Consultant
Faculty
- Developed an AI-enabled digital twin of a classified organization. This was joined with a deployment in AWS and a design and deployment of UI features.
- Created and deployed zero-shot computer vision techniques for document question answering on scanned documents for a large governmental organization.
- Conducted real-time data ingestion from social networks with media capture and real-time OCR. Used a large language model (LLM) to classify, summarize, and topic analyze.
Senior Data Scientist
Faethm
- 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.
Full-stack Data Scientist
Tymit
- 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.
Data Scientist | Visiting Fellow
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.
Researcher | Postgraduate
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.
Consultant Engineer
Sagentia
- 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.
Experience
Scorecard for Credit Worthiness
https://tymit.comAtomic Image Reconstruction Using Neural Networks
It was published in ACS Nano.
Detecting DNA Translocation Signal
https://iopscience.iop.org/article/10.1088/1361-6463/abe07bIt was published in IOP.
Skills
Languages
Python, SQL, C++, C, Verilog, R
Libraries/APIs
Pandas, TensorFlow, Keras, OpenCV
Tools
PyCharm, MATLAB, Amazon SageMaker, Looker, ImageJ, AWS Deployment
Paradigms
Data Science, Agile
Platforms
MacOS, Visual Studio Code (VS Code), Amazon Web Services (AWS), Jupyter Notebook, Azure, iOS
Other
Research, Technical Writing, Regression, Classification, Predictive Modeling, Predictive Analytics, Machine Learning, Artificial Intelligence (AI), Publishing, Natural Language Processing (NLP), Time Series Analysis, Forecasting, Data Warehousing, Data Scraping, GPT, Generative Pre-trained Transformers (GPT), Data Analytics, Deep Learning, Architecture, Signal Processing, Digital Signal Processing, Computer Vision, Clustering, Machine Vision, Analysis
Education
Doctorate Degree in Physics
University of Cambridge - Cambridge, UK
Master's Degree in Electrical Engineering
University of Cambridge - Cambridge, UK
Undergraduate Master's Degree in Electrical Engineering
University of Southampton - Southampton, UK
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