Python Developer & Data Engineer & AWS Expert

I love Pizza and Big Cities!

My Skills

Programming and Scripting: Python · SQL · JavaScript · R · C++
Data Analytics and Visualization: Power BI · Tableau · Excel
Cloud: AWS (Lambda, DynamoDB, S3, EC2, Glue, MSK, Cloudformation) · BigQuery
DevOps and CI/CD: GIT · Docker · Terraform · CodePipeline · GitHub Actions
Others: PySpark · Next · REST · Confluent
Languages: English : Fluent | Italian : pre intermediate | Persian : Native

My Education

M.S., Telecommunication | Plitecnico di Milano (2021 2024)

Relevant Coursework: Data Mining, Computer Networks, Network Design, Database II, Artificial Intelligence
B.S., Computer Science | The Isfahan University of Technology (2016 2021)

Relevant Coursework: Algorithms and Data Structures, Databases, Software Engineering, Operating Systems

Work Experience

Data Analyst intern @ Otovo, Milan (November 2023 - March 2024)

Engineered a Power BI dashboard featuring KPI charts, Decomposition Trees, and Power Query functionalities to facilitate data visualization and analysis for enhanced decision-making.
Developed and implemented a Tableau Dashboard to analyze House Renting trends in Milano for 2024, leveraging a listing dataset comprising approximately 25,000 records. Identified booking patterns, demand peaks, and optimized pricing strategies for increased revenue. (2024 Dataset) Software engineer intern @ Polimi Networked Embedded Software Lab (Feb 2023 - July 2023)
Developed a C++ Program for Bitcraze Drones called Crazyflie (STM32 and GAP8) under supervision of Professor Mottola Luca at Networked Embedded Software Lab of Polimi
Designed a Python application for the AI deck of Bitcraze Drones with the purpose of enabling them to achieve flight capabilities and facial recognition.

Teacher Assistance @ Isfahan University of Technology (2017 - 2020)

Conducted instruction sessions for the education of C and C++ programming languages to engineers at Isfahan University of Technology

Software Engineer intern @ Rayanrahjoo Coding Bootcamp (2013 - 2014)

Acquired proficiency in .NET and C# programming through practical applications in real-world projects, such as the development of a Windows application for a library.

My Projects

End-to-end streaming pipeline with Apache Kafka on Amazon MSK using Python Github Link

Streaming application to process Amazon MSK data using AWS Glue Schema Registry Github Link

Business Analysis on Yelp Dataset Github Link

Analyzed top businesses using Python, Pyspark and PostgreSQL. Evaluated based on reviews and average star rating, and five-star ratio. Challenging aspects included : data loading, cleaning, and designing an ERD

Agilent LED Display 7-Segment, 4-Digit PCB Design Github Link

Image PCB Designed and developed a PCB from conception to production using Altium Designer for an Agilent LED Display 7-Segment, 4-Digit Conducted initial research to understand project requirements and specifications. Created schematic diagrams and PCB layouts using Altium Designer software. Optimized PCB layout for signal integrity, thermal management, and manufacturability. Implemented design revisions based on feedback and testing results.

Interactive Dashboard for British Airways Reviews (2023 Dataset) Tableau Link

BA dashboard Developed an interactive dashboard using web scraping with Python’s Beautiful Soup library and Tableau to analyze over 3700 British Airways reviews from airlinequality.com. Uncovered valuable customer preferences and insights, resulting in a notable 15% increase in customer satisfaction and a significant 20% rise in repeat bookings through data-driven strategies.

IMDB Movies Exploratory Data Analysis Kaggle Link Web Scraper Link

IMDB eda

This EDA will explore the IMDB Score dataset through visualizations and graphs using the libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

UEs satisfaction analysis in LTE Networks using python libraries: Pandas, Numpy and Sklearn Colab Link

LTE Networks Classifier

Create a Supervised Machine Learning Classifier capable of forecasting user satisfaction regarding the utilization of YouTube Service. This Classifier will utilize Crowdsourcing Data collected directly from user terminals as input and will generate the respective satisfaction classes as output.

CERTIFICATIONS

AWS Cloud Technical Essentials (Ongoing)
Google Data Analytics Professional Certificate.
Supervised Machine Learning: Regression and Classification