CV

You can download a PDF version of my CV here

Education

• Ph.D. in ISE, Virginia Tech, May 2023
• Graduate Certificate in Data Analytics at Virginia Tech, 2019
• M.Sc. in ISE, Virginia Tech, 2019
• M.Sc. in ISE, Amirkabir University of Technology, 2015
• B.Sc. in ISE, Amirkabir University of Technology, 2013

Work experience

• Senior Data Scientist at Socure (Oct 2024 – Present)
• Senior Data Scientist at Quantum-Si (May 2022 – Oct 2024)
• Adjunct Professor at University of New Haven (Sep 2023 – Dec 2024)
• Graduate Research Assistant (Spring 2020 - Present)
  • Virginia Tech
  • Supervisor: Dr James Kong
• Teaching Assistant (Fall 2017 - Fall 2019)
  • Virginia Tech

Skills

• Programming: Python (PySpark, Pandas, Scikit-learn, PyTorch, TensorFlow), SQL, R, MATLAB, VBA
• Data Engineering: Apache Airflow, Data Modeling, dbt, BigQuery, Amazon Redshift
• Data Science: Machine Learning, Deep Learning, Predictive Modeling, Visualization
• Tools & Technologies: AWS (EC2, Redshift, RDS, S3), Tableau, Superset, Streamlit, OpenCV, Spark, Primavera

Teaching

I taught a course covering Airflow, SQL, Python, Tableau, and Excel VBA to junior data scientists as an Adjunct Professor at the University of New Haven.

In addition, I taught the Engineering Economy Undergraduate Course at Virginia Tech in Summer 2019. I have also served as a teaching assistant for several courses at Virginia Tech and Amirkabir University of Technology including Engineering Economy, Deterministic Operation Research, Simulation, and Facility Plan and Location.

Service and leadership

• Served as Vice President of the INFORMS Student Chapter at Virginia Tech (Aug 2020 – May 2021)
• Served as Vice President of the ISE Scientific Association at Amirkabir University of Technology (Aug 2010 – May 2011)