Skills

Python

R

Java

Matlab

SQL

Machine Learning

Statistics

Data Mining

Text Mining

Experience

 
 
 
 
 

Data Science Intern

Campbell’s Soup Company

Jan 2021 – Present New Jersey
Responsibilities include:

  • Data processing and report building using Pandas, SQL, and Microsoft Power BI
  • Building interactive dashboards through Python Dash and deploying to dash enterprise portal
  • Deploying Azure Functions to trigger the applications developed in Azure DevOps Server
  • Version controlling the progress and changes in applications and projects using Git Bash, Sourcetree, and Azure DevOps
  • Developing a mathematical model to predict the purchasing probability of new products based on reviews from old similar products
 
 
 
 
 

Data Science Intern

Campbell’s Soup Company

May 2020 – Aug 2020 New Jersey
Responsibilities include:

  • Identifying effective features correlated to machine breakdown/failure of bread supply chain through database integration on snowflake
  • Mathematical modeling of the bread production line to minimize the idleness/breakdown percentage of machines
  • Building demonstrative reports to represent the outputs of the mathematical modeling and data integration using Microsoft Power BI dashboards
  • Developing an embedded python code to create customized stacked waterfall chart module inside Microsoft Power BI
 
 
 
 
 

Research Assistant

Mississippi State University

Aug 2017 – Dec 2020 Mississippi
Responsibilities include:

  • Processing and extracting valuable information from thermal images using image processing, feature extraction, and data reduction techniques to demonstrate the build process
  • Developing novel mathematical models using supervised and unsupervised learning approaches to monitor the Process Defect Property relationship
  • Developing monitoring applications in order to facilitate the wider industrial adoption of additive manufacturing techniques
 
 
 
 
 

Business Intelligence Analyst and SharePoint Developer

Rafa Group

Mar 2015 – May 2017 Tehran, Iran
Responsibilities include:

  • Developing a Business Intelligence Dashboard to Monitor the Status of Key Performance Indicators (KPIs)
  • Improving the Performance of the Facilities by Developing Business Processes to Monitor the Major Workflows Such as Production, Maintenance, Inventory, Human Resources, etc
  • Developing An Extensive Budget Plan for Each of Subsidiaries Within the Enterprise to Determine the Break-even Point

 
 
 
 
 

Project Manager Intern

Kara-Fan-Pardaz Company

Jun 2013 – Jul 2013 Tehran, Iran
Responsibilities include:

  • Planning and Procurement of the Project “Designing and Constructing a Monitoring System for Transfer of Oil Products Using Industrial Tomography (ECT)”

Accomplish­ments

Databases and SQL for Data Science by IBM

Coursera Oct 2019
  • Create and access a database instance on cloud
  • Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
  • Filter, sort, group results, use built-in functions, access multiple tables
  • Access databases from Jupyter using Python and work with real world datasets
See certificate

Applied Data Science with Python Specialization

Coursera Oct 2019
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a network
  • Conduct an inferential statistical analysis
  • Discern whether a data visualization is good or bad
See certificate

Applied Social Network Analysis in Python

Coursera Oct 2019
  • Analyze the connectivity of a network
  • Measure the importance or centrality of a node in a network
  • Predict the evolution of networks over time
  • Represent and manipulate networked data using the NetworkX library
See certificate

Applied Text Mining in Python

Coursera Sep 2019
  • Apply basic natural language processing methods
  • Describe the nltk framework for manipulating text
  • Understand how text is handled in Python
  • Write code that groups documents by topic
See certificate

Applied Machine Learning in Python

Coursera Aug 2019
  • Build features that meet analysis needs
  • Create and evaluate data clusters
  • Describe how machine learning is different than descriptive statistics
  • Explain different approaches for creating predictive models
See certificate

Applied Plotting, Charting & Data Representation in Python

Coursera Jul 2019
  • Create a visualization using matplotlb
  • Describe what makes a good or bad visualization
  • Identify the functions that are best for particular problems
  • Understand best practices for creating basic charts
See certificate

Introduction to Data Science in Python

Coursera Jul 2019
  • Describe common Python functionality and features used for data science
  • Explain distributions, sampling, and t-tests
  • Query DataFrame structures for cleaning and processing
  • Understand techniques such as lambdas and manipulating csv files
See certificate

Machine Learning

Coursera Jun 2019
  • Supervised Learning: Linear Regression, Logistic Regression, Neural Networks, SVMs
  • Unsupervised Learning: K-means, PCA, Anomaly Detection
  • Special Topics: Recommender Systems, Large Scale Machine Learning

Recent Publications

. Layer-wise modeling and anomaly detection for laser-based additive manufacturing. In Journal of Manufacturing Science and Engineering, 2019.

PDF DOI Link

. Layer-wise Profile Monitoring of Laser-based Additive Manufacturing. In Solid Freeform Fabrication 2018: Proceedings of the 29th Annual International, 2018.

PDF

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