Data Scientist Research Assistant

Maryam Ahmadi

Education Worcester, MA j 774-***-**** j *******@******.*** j GitHub j LinkedIn j Portfolio Clark University, Worcester, MA 2021 - Present

Master of Science in Business Analytics GPA: 4/4 Ranked 1st Selected Courses: Advanced Big Data Programming: 4/4, Machine Learning: 4/4, Data Management and SQL: 4/4 Tarbiat Modares University (TMU), Tehran, Iran 2017 - 2019 Master of Science in Industrial Engineering (Systems Optimization) GPA: 3.77/4 Thesis: \An Unsupervised Hybrid model for Anomaly Detection in Medical Claims, Case Study in medicince Abuse". Selected Courses: Data Mining and Knowledge Discovery: 4/4, Design of Experiments: 4/4, Combinatorial Optimization: 4/4, Social Network Analysis: 4/4, Operations Research II: 4/4 Iran University of Science and Technology (IUST), Tehran, Iran 2013 - 2017 Bachelor of Science in Industrial Engineering GPA: 3.56/4 Experience

Research Assistant, Clark Labs, Worcester, MA May 2023 - Present

Foundation Models for Satellite Imagery, a collaboration between IBM and NASA aimed at leveraging AI technology to analyze NASA's Earth and geospatial science data, with a focus on geospatial intelligence and climate change research.

Implement image classi cation, segmentation, gap lling, and similarity search for multi-spectral satellite imagery.

Utilize GitHub for e ective collaboration and version control, and leverag AWS (Amazon Web Services) for e cient cloud computing and data storage.

Data Scientist, NON-Communicable Diseases Research Center, Tehran, Iran - Part time Jan 2018 - Apr 2020

Cleaned and wrangled messy healthcare data sets to produce insights by aggregating data from multiple sources, imputing missing values using predictive models, and performing Feature Engineering and Feature selection.

Applied advanced machine learning techniques on health insurance historical data for Anomaly Detection in Medical Claims.

Designed an Unsupervised Hybrid Model for Methylphenidate abuse detection in two levels of prescription and patient. The model increased the speed of monitoring and e ciency of identifying suspicious patients.

Performed Social Network Analysis (SNA) to reveal medication Co-prescription trends, Physician-patient relationships, and prescribing patterns.

Prepared reports using Data Visualization in R, Gephi, and Tableau, and presented the result in a technical and non-technical

(executive) format.

Selected Projects (Projects are available in my GitHub and Portfolio.)

Improving Urban Sustainability through Solar Panel Identi cation on Building Rooftops. PRME Award Winner in 6th Clark University Annual Student Business Analytics Competition. Extracted satellite tiles using QGIS and performed image processing using Pytorch in Google Colabs.

Fetal Health Classi cation using Gaussian Naive Bayes, Decision Tree, Random Forest, KNN, Logistic Regression and Ensemble voting classi er. PySpark Programming and Data Visualization in DataBricks.

Hospital Patient Tracker System Database Design. SQL Programming, MS Access, Excel, and Visualization with Tableau.

Bank Customer Churn Prediction using Decision Tree, Random Forest, KNN, Logistic Regression and Ensemble voting classi er. Programming in Python and Data Visualization with Power BI and Tableau.

Anomaly Detection in Methylphenidate Prescribing with a Social Network Analysis approach Presented and Published in 5th International Conference on Industrial and System Engineering (ICISE), Ferdowsi University of Mashhad, Iran, 2019. Visualization with Gephi and programming in R.

Quadratic Assignment Problem (QAP) using Metaheuristic Algorithms including Simulated Annealing, Tabu Search, Particle Swarm Optimization, and Genetic Algorithm. Developed in MATLAB. Skills

Programming Languages: SQL, Python (Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, Keras, TensorFlow, PyTorch), R (Dplyr, Caret, ggplot2, R shiny)

Big Data Analytics Tools: GitHub, Spark, Databricks, AWS, Jupyter Notebook

Software: Tableau, Power BI, Minitab, Microsoft O ce suite (Access, Excel, Word, PowerPoint, Outlook), Gephi, KNIME, EndNote, LATEX, SPSS

Certificates

Fundamentals of Deep Learning, NVIDIA Deep Learning Institute. 2022

[PCAP-31-02] PCAP { Certi ed Associate in Python Programming, OpenEDG Python Institute 2021

Contact this candidate