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Muhammad Adnan

Python Web Developer

+92.306.1485176

addfe0@r.postjobfree.com

Jail Road, Lahore, Pakistan

Summary

Seeking a suitable position in a reputed organization to enhance and utilize my knowledge and skills in order to cope with the challenges of the industry. Skills

• Agile & Waterfall Methodologies • Algorithms • Data Analysis

• Django • Docker • Flask

• Git • HTML5 / CSS3 • JavaScript

• MongoDB • MySQL • NoSQL

• Operations Responsibility • Pandas • PostgreSQL

• Python • Scraping • Scrapy

• Selenium • Software Engineering • Unit Testing

• XML

Experience

Python Web Developer

Webilogics, Lahore, Pakistan Feb 2019 - Present

Python Programmer / Django Developer

IT'S BRAIN former ASINFOTEK, Lahore, Pakistan Jan 2018 - Feb 2019 As a programmer, I took the task of developing codes in programming language Python/Django and Flask of various projects assigned to me. I was assigned a project where I applied my extensive knowledge to develop Web sites. Education

University of Sargodha

Bachelors in Science, Information Technology 2018 Information Technology

Punjab College of Information Technology (PCIT)

Intermediate/A-Level 2014

Computer Science

Percentage: %

Projects

Django & Flask

Many Django & Flask based Web Sites.

Amazon Reviews Grabber (ARG)

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Goal of the project is to find reviews on amazon of the product. A product ASIN (amazons unique product ID) is provided, the output is a CSV/excel file as attached. (See attached python page with script. You can google other scripts, which you think will be good). For start, we will focus on amazon.de. Sentiment Checker

We want to allow people to be able to track their emotional state while they work on computer. So the user can download the software or go to our website and with help of computer camera, it will tell if you are happy or not.

AI Engine

Its an Inventory eCommerce application with machine learning algorithms which gives the prediction about the sales goal, Price and Quantity. Its backend is developed in Django and databases in AWS using MSSQL.

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