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Resume

Education

Michigan State University - PhD in Structural Engineering
2013 — 2018

Thesis: Implementation of NMR Spectroscopy and Relaxometry towards Detection and Evaluation of Concrete Deterioration.

Michigan State University - MS in Pavement and Transportation
2011 — 2013

Thesis: Impact of Design Inputs for Overlay Design in Mechanistic-Empirical Pavement Design Guide.

University of Tehran - BS in Civil Engineering
2007 — 2011

Project: Numerical analysis of repaired reinforced concrete numerically under monotonic loading and bonded concrete overlay under restrained shrinkage for two large customers using Finite Element Method

Data Science Projects

Classifying Damage Type in Concrete Structures
May 2020

Identifying and classifying damage types and severity of deterioration mechanism in transportation infrastructure using machine learning

Quick Predictions of Pavement Performance
May 2020

Ranking design input variables for national pavement design software suite (ASHTOWare Pavement ME) and quick predictions of pavement performance using neural network

Analyzing Students Completion Rate in the United States
April 2020

3800 degree-granting institution in the United States are analyzed to understand the graduation rate within varius demographics

Experience

Data Scientist
2020 — Present

Developed end-to-end scalable machine learning models for equity investing and trading; employing linear regression and time series analysis, yielding 35%+ return on investment

Derived actionable insights by munging large financial data sets with minimal support

Interacted regularly with portfolio manager and clients to meet the clients’ broad range of investment needs

Data Science Fellow
2020 — 2020

Collected, cleaned, analyzed, and modeled 3GB of data to predict college graduation rates in the US with 5% accuracy using Random Forest

Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning

530+ hours of hands-on curriculum, with 1:1 industry expert

Associate Professor of Engineering
2018 — 2020

Taught MATLAB for programming and numerical analysis and computer-aided drafting among others.

Coached student for H2O Hackathon and SkillsUSA

Reviewed college revenues and expenditures, proposed budget adjustments, saving $2 million in 2018-19 fiscal year

Research & Developement Scientist
2013 - 2017

Spearheaded a $1 million project 10% under budget, contributed to 4 $1 million projects

Published a patent, generated 100+ technical reports, gave presentations to public & private clients regularly

Research Engineer
2011 — 2018

Created a predictive model to forecast pavement long-term performance with 95% accuracy using ANN

Published 16 journal & conference papers

Certification

Certified Data Scientist by The Data Incubator
September 2020
Machine Learning - Stanford University
April 2020
Python for Data Science and Machine Learning Bootcamp - Udemy
April 2020
Tableau 10 – A-Z: Hands-On Tableau Training for Data Science - Udemy
April 2020
The Data Scientist’s Toolbox - Johns Hopkins University
October 2019
R Programming - Johns Hopkins University
October 2019
Getting and Cleaning Data - Johns Hopkins University
Ongoing
SQL – MySQL for Data Analytics and Business Intelligence - Udemy
Ongoing
Data Manipulation in Python - Udemy
Ongoing
GitHub Ultimate: Master Git and GitHub - Udemy
Ongoing

My Skills

Python100%
Python
Machine Learning100%
Machine Learning
Statistics & Mathematics100%
Statistics & Mathematics
Problem-Solving100%
Problem-Solving
SQL70%
SQL
R90%
R
TensorFlow80%
TensorFlow
Tableau80%
Tableau
MATLAB100%
Tableau
Excel100%
Excel
Spark70%
Spark
AWS60%
AWS
Git80%
Git