Data Scientist

Technical Skills:

Education

• M.S., Information Systems

  Northeastern Universiry (Dec 2024)

• B.S., Software Engineering

  University of Tehran (May 2021)

Work Experience

Data Scientist @ Behsakht Civilized & Development Group (June 2021 - Present)

• Developed and implemented Python-based forecasting models that optimized production schedules and shipment plans
• Analyzed sales data to accurately predict demand, reducing instances of emergency orders and ensuring timely deliveries
• Created and maintained Tableau dashboards for data visualization and reporting purposes
• Extracted data from multiple sources using SQL

Software Quality Assurance Intern @ Teamyar (Dec 2020 - May 2021)

• Developed Python scripts using Selenium WebDriver to automate functional and regression tests that significantly reduced manual testing efforts, enabling faster releases with increased confidence in software quality

Key Projects

FraudDetectivePy

The goal of this project is twofold: first, to understand how an imbalanced dataset can impact the analysis and results of credit card fraud detection; and second, to evaluate the effectiveness of different classification models and techniques aimed at enhancing the accuracy and reliability of fraud detection systems.

WirelessChurnPrediction

This project aims to predict wireless account churn and identify key features driving churn. It is a collaborative effort between data scientists to develop a machine learning model that can help maintain and grow the revenue generating base by taking proactive measures to retain customers.

Sales Performance

Two dashboards using tableau to help stakeholders, including sales managers and executives to analyze sales performance and customers.

AutoBuddy

In this project, we aim to develop a domain-specific chatbot application that utilizes a Large Language Model (LLM) for natural language understanding and processing, combined with the efficiency and scalability of a vector database for data storage and retrieval. The application will implement the Advanced Retrieval-Augmented Generation (RAG) method to enhance the chatbot’s ability to provide accurate and relevant responses by integrating retrieved information with generative AI capabilities. We also fine-tune GPT-4o-mini in this project with related data to achieve optimal performance.

ProductScraper

This project scrapes product information from the Digikala e-commerce website to extract details about available laptops, such as price, model, CPU, GPU, RAM, screen size, etc. The extracted data is stored in a MySQL database using the mysql library. Additionally, the project includes a simple machine learning model built with scikit-learn for predicting laptop prices based on user input configurations.

Data Mining HorseColic

Using data mining techniques, including data preprocessing, feature selection, model training, and evaluation, the project seeks to uncover patterns and relationships within the dataset to improve prediction accuracy.

DesignPatterns-RestaurantOrdering

This project is a practical exploration of design patterns, applied to a restaurant ordering system. It demonstrates how design patterns can be used to solve real-world software design challenges, resulting in a system that is flexible, scalable, and maintainable. The project utilizes multiple design patterns, including Singleton, Factory, Builder, Strategy, Composite, Adapter, Decorator, and Observer, to create a robust and extensible solution.

Licenses & certifications

Google Analytics Certification | Skillshop - (Issued Aug 2024)

Microsoft SQL Server 2022 Essential Training | LinkedIn - (Issued Apr 2024)

Oracle Database 12c: Advanced SQLOracle | LinkedIn - (Issued Feb 2024)

Supervised Machine Learning | Coursera - (Issued Dec 2022)

Web Development and Design | Maktabkhooneh - (Issued Oct 2020)

Advanced Python Programming | Maktabkhooneh - (Issued Aug 2020)

Web Scraping with Python | Maktabkhooneh - (Issued Apr 2020)