Dogan Askan is a software engineer specializing in machine learning with 9+ years of experience spanning startups, academia, and enterprise environments. He currently applies ML at Instagram as a Software Engineer, Machine Learning, and previously led predictive modeling at Southern New Hampshire University, where he designed Forecast2.0 in Python/MSSQL and built a Flask-based web app to democratize forecasting, achieving a 90% reduction in time spent on operational tasks. He has built end-to-end data products—from data pipelines and imputation models to APIs and dashboards—while mentoring teams and aligning analytics with business goals. A cross-disciplinary problem-solver with an MS in Data Analytics from Clarkson University and a background in mechanical engineering, he combines rigorous quantitative methods with product-minded software development. Based in the Greater Boston area, he has collaborated with international teams and demonstrated a track record of delivering scalable, maintainable ML solutions that non-technical stakeholders can actually use.
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