Solmaz Shamsadini

Data Scientist, Machine Learning, and Data Analyst

adzhv5@r.postjobfree.com +1-240-***-**** San Diego, CA U.S. Citizen EXPERIENCE

Sensoride, Inc., San Diego, CA (2023 - Present)

Data Scientist

• Data regression with neural networks for the multi-antenna RADAR signals MaxLinear Inc., San Diego, CA (2022 - 2023)

Senior System Engineer

• Conduct data analysis on test/validation data

• Perform data cleaning and mining in large datasets and an enormous number of files

• Automation of test log processing and generating presentation reducing significant time to produce and analyze the test results for the company

• Detect failures (classifier) and flag anomalous tests during test data generation

• Visualize data and compare test data in different test scenarios and conditions. EpiSci (EpiSys Science, Inc.), San Diego, CA (2021-2022) ML and Data Analyst

• Train/Test Deep learning models using PyTorch, Hyperparameter Tuning, and visualize data

• Analyze and Model big data using ML including regression, classifications, vector embedding

• Perform data migration, cleaning, and extraction of large data using MongoDB and AWS DynamoDB

University of Maryland, College Park, MD (2015-2016) Research Associate

• Research in Agricultural and Resource Economics

Science and Research University of Ahwaz (2009-2015) Assistant Professor

• Teaching and Research in Macroeconomics, Microeconomics, Econometrics,

• Extensive Research on Data analysis of economic data, linear and non-linear regression EDUCATION

• Ph.D. in Economics, Science and Research University of Tehran, Iran, 2014

• M.Sc. in Economics, Science and Research University of Tehran, Iran, 2005

• B.Sc. in Economics, Bahonar University of Kerman, Iran, 2003 SKILLS

• Extensive experience in Python Programming including libraries such as Numpy, Pandas, scipy, matplotlib, Scikit-Learn, Keras, TensorFlow, Pytorch, yfinance, Technical Analysis (TA), RAY, Matplotlib, Cleaning, mining, analysis, and visualization.

• Multiple projects in Deep Learning, fully connected, Convolutional, Recurrent Neural Networks, and Transformers

• Spreadsheet, vlookup/pivot tables, financial and economic data analysis

• SQL and SQL Server, AWS boto3, DynamoDB, MongoDB

• Git(source control), Shell in Unix

CERTIFICATES AND TRAINING

DataCamp Online Career Tracks and Courses (Certificates Available Upon Request)

• “Data Analyst with Python”, 2019-21

o Introduction to Data Science in Python

o Intermediate Python,

o Data Manipulation with Pandas

o Joining Data with Pandas

o Intro. to Data Visualization (Matplotlib)

o Intro. to Data Visualization with Seaborn

o Introduction to Importing Data in Python

o Cleaning Data in Python

o Exploratory Data Analysis in Python

o Analyzing Police Activity in Python

o Introduction to SQL

o Joining Data in SQL

o Introduction to Databases in Python

o Working with Dates and Times in Python

o Writing Efficient Python Code

o Writing Functions in Python

o Object-Oriented Programming in Python

• “Data Analyst with SQL Server”, 2020-22

o Introduction to SQL Server

o Introduction to Relational Databases in SQL

o Intermediate SQL Server

o Time Series Analysis in SQL Server

o Functions for Manipulating Data in SQL Server

o Database Design

• “Data Science with Python”, 2019-21

o Python Data Science Toolbox (Part 1 and 2)

o Streamlines Data Ingestion with Pandas

o Introduction to Deep Learning in Python

o Supervised Learning with Scikit-learn

o Unsupervised Learning in Python

o Case Study: School budgeting with machine learning in Python o Statistical Thinking in Python (Part 1)

o Statistical Thinking in Python (Part 2)

o Image Processing with Python

PUBLICATIONS

• S. Shamsadini, R. Moghaddasi, “The Import Demand for Mena Countries (case study; meat, dairy, and cereals)”, World Applied Science Journal, 2010.

• S. Shamsadini, R. Moghaddasi and M. Kheirandish. “Relationship between trade openness and GDP growth a panel data Analysis”, World Applied Science Journal, 2010.

• M. Salehpour, S. Shamsadini, “The Impact of Guaranteed Price on Response Supply Function for Rice”, Archives Des Sciences 2012.

• S. Shamsadini, S. Yazdani, R. Moghaddasi, “Agricultural TFP and R&D spending”, Indian Journal of Commerce & Management Studies, Vol. 4 Issue 3, p34, 2013.

• S. Shamsadini, S. Yazdani, R. Moghaddasi, “Effects of R&D Spending and spillover on Agricultural TFP”, IJASR, 2014.

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