Data Science with Morteza
Most recent paper about "Factors Impacting Compliance with Mandates" has been submitted to the Journal of Sustainability (MDPI)
2. Policy research memorandum has been submitted to the MIT Policy Hackathon 2021 Competition.
Top 3 Finalist place was achieved in this event.
3. Master of Science in Inorganic Chemistry has been defended and Master's Thesis has been successfully submitted to the University of South Carolina graduate school.
I am Morteza Maleki,
I'm an energetic and hardworking data science enthusiast holding advanced degrees from the top 10 universities in the World, and possess 4+ years of experience designing, operating, and visualizing advanced analytics applications.
I currently am in my second year of Master of Science in Analytics from the Georgia Tech and also an Advanced Data Analytics Senior Associate at PricewaterhouseCoopers (PwC) where I advise Fortune 500 companies with their automation and data analytics needs.
My true passion is to apply my analytics knowledge to solve societal problems and analyze social network systems for the good of all. To make that happen, I am collaborating with professors and graduate researchers from the top 10 universities in the world to learn and further my analytics knowledge and research skills.
I value science, research, teaching, teamwork, respect, work ethic, and friendship.
Please feel free to connect with me through any of the above platforms or by email at: firstname.lastname@example.org
I look forward to connecting!
Causal Navigation in Continuous Time Neural Networks paper presentation in Causal AI Lab at UofSC
Introduction to R Shiny
MIT React Career in Tech Speaker
MIT Policy Hackathon 2021
Data Visualization with R
Introduction to Regular Expressions
Top 3 finalist at the MIT Policy Hackathon 2021
MIT React Full Scholarship Recipient
Best Teaching Award at the UofSC
Graduate Degree from Top 10 University
Data Scientist at Big4 Accounting Firm
1 submitted and 3 working papers in Computational Social Science in 2021
Programming in Python
Programming in R
Deep knowledge of Statistics and Probability
Working knowledge of Machine Learning Models and Analysis
Experience in Social Network Analysis
Understanding of Causal Inference
Ph.D. program in Computational Social Science
Applying Causality and Bayesian Networks in Social Sciences
Establishing an international professional consulting firm