Amir Zar
Portfolio

Transforming Data into Actionable Insights.

Skilled in Python, SQL, Power BI and Machine Learning.




ABOUT ME

Hi!
I'm Amir Zarabadipour, a Data Analyst with over 2 years of experience. Proficient in data wrangling, statistical analysis, data visualization, and machine learning. I excel in collaborating with cross-functional teams, effectively communicating complex findings to both technical and non-technical stakeholders. Seeking opportunities to apply my analytical skills and contribute innovative solutions in a dynamic environment.




Latest Achievement


Associate Data Scientist Certified by DataCamp

March 23, 2023
Achiving this certification required a solid grasp of mathematics and programming, as well as the completion of an extensive curriculum encompassing diverse data science subjects. These included Python programming, data manipulation, data visualization, statistics, and machine learning, collectively providing me with a comprehensive skill set to excel in the field of data science.

Projects

June 2023

Data Edge Bussiness Analysis

The goal of this project is to develop a comprehensive Tableau dashboard that offers a holistic view of the company's business performance, encompassing present, historical, and future projections, providing key insights to management for improvement and suggesting additional data sources for enhanced analysis.


March 2023 -

Spotify Data Analysis


The project involved conducting a data analysis on my Spotify data. The analysis was performed using various data analysis techniques and tools to gain insights into my listening habits and preferences on the platform.


Dec 2022 -

Twitter Project

This project was initiated with the aim of fetching tweets from Twitter to furnish users with insightful analytical information regarding those tweets.


Dec2019 - Feb 2020

Introducing a new method to improve irrigation systems

This project aimed to devise a new sensor by compounding gypsum blocks and YL-69 sensors to enhance their performances. The project's second phase involved automating the irrigation process using those sensors and the data they provide by creating a server and application for users.