Data Analyst Scientist

Hossein Mousavi linkedin.com/hossein-mousavi

Houston, TX ****************@*****.*** phone number: 520-***-**** Experienced data scientist and data analyst with a background in industrial engineering who has a remarkable ability to plan and execute projects. Experienced in the application of advanced data science, machine learning and statistical techniques across different projects. Proficient in solving complex problems.

Skills

Programming abilities Python R SQL SPSS JASP SAS Data Visualization Tableau Power BI R Shiny

Data Analytics Statistical Analysis Regression Bayesian Statistics Clustering Classification Mixed Model Analysis Hypotheses Testing and A/B Testing Survival Analysis Time Series Analysis Regularization Techniques Predictive Analysis Graph Classification Neural Network Model Selection Cox proportional hazards regression Root Cause Analysis GNN CNN GCN

Experience

Nov 2022-Present New Mexico State University (NMSU) Data Scientist / Statistician

Combined data from different resources

Performed data Wrangling and data manipulation

Developed time to event analysis (Survival Analysis) and Kaplan Meier Visualization Jan 2022-Oct 2022 Cardiomyocyte Renewal Lab, Texas Heart Institute Research Engineer III

Conducted data manipulation, quality control, analysis, visualization

Trained graph convolutional and linear models

Developed pipeline for mapping data from 2 dimensional to spatial

Experienced in multimodal analysis of different cardiac cell types

Designed extract, transform and load (ETL) data pipeline in Python

Participated in project teams and designed processes

Interacted with business users to gather requirements for reporting and analysis.

Skilled in inference, visualization, and analysis of complex and multi-dimensional biological data

Experienced in Bayesian compositional analysis in single-cell RNA sequencing Nov 2019-Dec 2021 New Mexico State University (NMSU) Statistician / Data Scientist Assistant

Conducted biological data manipulation, normalization, analysis, visualization, and interpretation

Implemented advanced machine learning techniques for high dimensional data with limited sample sizes

Developed classification methods with cross-validation, completed detailed analyses and comprehensive reports

Developed and built ETL data pipeline in Python

Statistical Analysis/Data Analysis: such as mean, median, standard deviation, correlation, regression analysis, data distribution, hypothesis testing and forecasting

Predicted trends and provided end-to-end pipelines

Implemented solutions and provided suggestions according to the analysis and reports

Interacted with business users to gather requirements for reporting and analysis.

Developed models appropriate for longitudinal data analysis with complex correlation structure

Performed data visualization including interaction plots for estimated marginal means and Time Series Visualization

Jan 2016-Dec 2018

Aseman Sadra, Fars, Shiraz

Data Analyst

Designed Analysis plans

Developed advanced linear and logistic regression methods (mixed effects models)

Developed Bayesian Modeling and PCA

Predicted trends and provided end-to-end pipelines

Statistical Analysis/Data Analysis: such as mean, median, standard deviation, correlation, regression analysis, data distribution, hypothesis testing and forecasting

Analyzed Time Series Problem, Visualization and Statistical Modeling

Project Controlling and Resource Optimization, Systems Development and Evaluate actual cost

Specialized in Project Scheduling, Continuous Improvement, and Project Management Education

December 2021 Master of Science in Applied Statistics New Mexico State University

September 2017 Master of Science in Industrial Management Shiraz Azad University

May 2012 Bachelor of Science in Industrial Engineering Shiraz Azad University

Achievements

• Patrick Trainor, Andrew DeFilippis, Hossein Mousavi, Alanna Cover. NIH awards $888,000 grant to NMSU researchers studying heart attacks, Las Cruces Sun News, Published 11:01 a.m. MT May 1, 2021, https://www.lcsun- news.com

• Scholarship for Cancer and Public health workshop in collaboration with New Mexico State University, University of Washington, and Fred Hutchinson Cancer Research Center (2021)

• Applied Statistics Graduate Current Use Scholarship and Applied Statistics Support Scholarship for Outstanding Graduate Assistant Award offered by New Mexico State University (2021-2022) Certification

• Applied Machine Learning in Python, University of Michigan, Dec 2022

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