Yamaç Gülfidan

AI Researcher

Istanbul, Istanbul, Türkiye9 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Machine Learning and Quantitative Research.
Proven track record in developing trading algorithms.
Strong background in NLP and Computer Vision projects.

Stackforce AI infers this person is a Fintech expert specializing in Machine Learning and Data Science.

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Skills

Core Skills

Machine LearningQuantitative ResearchNatural Language ProcessingData Science

Other Skills

AIAlgorithmsAzureAzure Machine LearningC++Computer VisionCustomer SegmentationData AnalysisData MiningDeep LearningDockerJavaMachine Learning PipelinesMicrosoft ExcelNLP

About

ML Engineer/ Quant Researcher working in HFT

Experience

Liquidity trading

Quant Researcher / Senior ML Engineer

Aug 2022 – Present · 3 yrs 7 mos · İstanbul, Türkiye

Developing methods to generate alpha with mid/high frequency trading for systematic equities using machine learning
Developing tools to analyze low latency trading performances
Building the ML-infra of the company

Machine LearningData AnalysisPythonC++RustQuantitative Research

Pragmacraft

Machine Learning Engineer

Mar 2021 – Nov 2022 · 1 yr 8 mos · İstanbul, Türkiye

Working as a consultant for İşbank AI Tribe on several NLP/CV projects;
Building a search engine
Retrieving answers for given questions from banking corpus
Building an OCR(Optical Character Recognition) system
Automating various money transfers from handwritten/scanned documents
Tasks worked on include;
Named Entity Recognition
Open-Domain Question & Answering
Text Generation
Language Model Training
Character Recognition(Image to Text)
Relation Extraction

NLPComputer VisionPythonRSQLMachine Learning+1

Qnb finansbank

Senior Data Scientist

May 2020 – Mar 2021 · 10 mos

Re-segmentation of various credit segments after the pandemic.
Developing geo-location based risk score.
Developing the personal-loan credit model.

Data ScienceStatistical AnalysisRisk Modeling

Accelera business solutions

Data Scientist

Oct 2016 – May 2020 · 3 yrs 7 mos

Developing recommendation systems for e-commerce companies.
Developing customer segmentation models for e-commerce companies.
Developing customer targeting models for specific brands/products for e-commerce companies.
Developing Next-Best-Action propensity models for global banks.
Training data scientists for national banks.(12+ week extensive programs including R, Python, SQL, Statistics, Machine Learning, Deep Learning)
Coaching analytic projects of national banks.(NLP, Credit-Risk, Credit-Limit models)
Developing machine learning pipelines using Microsoft technologies. (Azure ML Studio, Azure DEVOPS)

Recommendation SystemsCustomer SegmentationMachine Learning PipelinesData Science