Dogan Askan is a software engineer specializing in machine learning with a decade of experience building data-driven products across startups, academia, and large tech, currently contributing at Instagram. He holds an M.S. in Data Analytics (3.94 GPA) and has led teams to productionize forecasting and predictive systems—designing a Forecast2.0 framework and a Flask web app that cut operational time by over 90% at Southern New Hampshire University. Dogan blends hands-on ML and engineering skills (Python, SQL, APIs, model deployment) with a strong background in database design and ETL, having built record linkage algorithms, APIs, and BI dashboards earlier in his career. He also brings product and stakeholder-facing experience from sales leadership roles, which helps him translate analytical insights into business impact. Notably, he has mentored Udacity self-driving car students and consistently focuses on maintainable, scalable solutions that reduce maintenance overhead.
10 years of coding experience
11 years of employment as a software developer
Nanodegree, Data Analyst, Nanodegree, Data Analyst at Udacity
Bachelor of Science (B.Sc.), Mechanical Engineering, Bachelor of Science (B.Sc.), Mechanical Engineering at İstanbul Teknik Üniversitesi / Istanbul Technical University
Master of Science (M.S.), Data Analytics, 3.94 / 4.00, Master of Science (M.S.), Data Analytics, 3.94 / 4.00 at Clarkson University
Package to perform QA on data flows for Machine Learning
Contributions:1 release, 76 commits, 12 PRs in 11 months
machine-learningflowsdata-sciencedata-flowsmlqa
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Dogan Askan - Software Engineer, Machine Learning at Instagram