About Me
I am Mohammad Saeed Angiz, born on March 12, 1997 in Iran, now living in Dieburg, Germany. I am a Junior Python Developer with a passion for science, using Python for data analysis and presentations. I want to further develop myself in software development and am ready to learn DevOps to expand my skills. In the future, I plan to learn Artificial Intelligence development and WordPress to expand my circle of knowledge. My Python teacher is Ali Pilehvar Meibody, CEO and founder of Plutus AI and Master's student at Politecnico di Torino, leading the Artificial Intelligence Group at the Graphene and Advanced Materials (GAM) Laboratory.
Personal Information
Work Experience
Production Assistant
Polytech-Dieburg
Since April 2023
Production and Logistics Staff
Logosys-Darmstadt
2022-2023
Education
Hauptschulabschluss
Electrical Engineering - Fachschule (1 Year)
One year of electrical engineering at vocational school
Business Administration - Fachschule (1 Year)
One year of business and administration at vocational school
Python Programming Course
Completed professional Python training course with certification. Focus on data analysis, automation, and software development.
Certificates
Skills
Python Code Examples
QR Code Generator
import qrcode
qr = qrcode.QRCode(version=1, box_size=10, border=4)
qr.add_data('https://github.com/topics/portfolio-website?l=python')
qr.make(fit=True)
img = qr.make_image(fill='black', back='white')
img.save('qrcode.png')Data Analysis
import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df.describe())Factorial Loop
def factorial(n):
result = 1
for i in range(1, n+1):
result *= i
return result
print(factorial(5))Projects
QR Code Generator
A Python application that generates QR codes for URLs, text, or contact information using the qrcode library. This project demonstrates proficiency in working with Python libraries and creating practical tools for everyday use.
Technologies: Python, qrcode, PIL/Pillow
Data Analysis with Pandas
Interactive data analysis projects using pandas for data manipulation, cleaning, and visualization. This showcases skills in handling datasets, performing statistical analysis, and creating meaningful insights from raw data.
Technologies: Python, pandas, matplotlib, seaborn
Web Scraping Tool
Automated web scraping scripts using Beautiful Soup and Requests to extract data from websites. This project demonstrates understanding of HTML structure, HTTP requests, and ethical data collection practices.
Technologies: Python, Beautiful Soup, Requests, lxml
Python Automation Scripts
Collection of automation scripts for repetitive tasks including file management, data processing, and system automation. These projects showcase problem-solving skills and the ability to increase productivity through code.
Technologies: Python, os, shutil, selenium, schedule
Languages
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