MEHRDAD FAZLI
Fairfax,Virginia
Summary
Forward-thinking, multifaceted, and result-oriented professional, offering broad experience in data mining and analytics. A critical thinker with extreme attention to details and passionately looking for ways to improve existing procedures. Also, a team player with a supportive and friendly attitude.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Researcher
University of Virginia
11.2021 - 05.2023
- Fitted a partially observed Markov process (POMP, aka HMM) to a synthetic dataset generated via agent-based modeling (ABM) adjusted for the actual COVID-19 prevalence data
- Showed that viral load lowers the uncertainty in COVID-19 forecasting
- Trained three different probabilistic forecasting neural network architectures, DeepAR, DeepTCN, and TFT, on COVID-19 data and performed feature analysis and data visualization to find the most important features for COVID-19 forecasting
- Demonstrated that viral load guides the forecasting models and improves their accuracy
- Price Optimization Under Local Network Effects: Stochastic modeling of the diffusion of a new product in a network to find the optimal prices
- Discovered the relationship between nodes' centrality and optimal prices under heterogenous pricing
Data Science and Machine Learning Intern
Wayfair
06.2022 - 08.2022
- Added confidence intervals to the "demand simulator" estimations of short-term revenue and profit to quantify the uncertainty in the estimations of outcomes (Python)
- Developed an evaluation framework for the "demand simulator" using over 50 million transactions to retrospectively evaluate the accuracy of the estimated outcomes (SQL and Python)
- Created a framework for error decomposition to quantify the contribution of va (Python)
Teaching and Research Assistant
University of Virginia
08.2019 - 05.2021
- Trained a deep neural network model to classify a user's activity based on the sensor data from their smartphone and smartwatches
- Assisting undergraduate students in "data and information engineering" and math courses, including "differential equations, " "probability, " and "statistics" via holding office hours and helping them with the assignments
Education
Ph.D. in Computer Science -
George Mason University
05.2026
M.Sc. in Systems Engineering -
University of Virginia
05.2023
Skills
- Languages: Python, SQL, R, MATLAB, C
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy
- Data Visualization: Matplotlib, ggplot2, R Shiney, Power BI, Tableau
- Other Skills: GCP (VertexAI, GBQ), AWS (EC2, RDS, Sagemaker), OOP, Bash/Shell scripting, GitHub
Certification
- Machine Learning - Coursera
- Neural Networks and Deep Learning - Coursera
- Convolutional Neural Networks - Coursera
- Essential Design Principles for Tableau - Coursera
Publications
- Tavasoli, Ali, Mehrdad Fazli, et. al. "Competitive Pricing Under Local Network Effects." European Journal of Operational Research (2023).
- Fazli, Mehrdad, and Heman Shakeri. "Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning Study." arXiv preprint (2022). (accepted at IEEE BigData 2023)
- Fazli, Mehrdad, et. al. "Wastewater-based epidemiological modeling for continuous surveillance of COVID-19 outbreak." In 2021 IEEE International Conference on Big Data (Big Data) IEEE, 2021.
- Fazli, Mehrdad, et. al. "HHAR-net: Hierarchical Human Activity Recognition using Neural Networks." Intelligent Human Computer Interaction: 12th International Conference, IHCI 2020.
- Garcia, Ezequiel Juarez, et al. "Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models." In 2023 26th International Conference on Information Fusion (FUSION). IEEE, 2023.
Timeline
Data Science and Machine Learning Intern
Wayfair
06.2022 - 08.2022
Researcher
University of Virginia
11.2021 - 05.2023
Teaching and Research Assistant
University of Virginia
08.2019 - 05.2021
Ph.D. in Computer Science -
George Mason University
M.Sc. in Systems Engineering -
University of Virginia
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