Software Engineer

MUHAMMAD ABUZAR

xyz

13.08.2023

From Data Sciences to Web Development, Business Intelligence and Deep Learning - my tech prowess knows no limits.


FIFA 23 EDA and Dashboards


Analysis of entire FIFA 23 players dataset using Microsoft Power BI and Python

Lips Love -- Makeup Website


A full stack Makeup e-commerce store built using MERN stack and Nextjs 13

Twitter (X) Sentiment Analysis


Classiffied 13 emotions from 40k tweets using pre-trained BERT model by Google

Web Development

With over two years of experience in Web Development, I can build highly responsive web applications and APIs. I use MERN stack along with Nextjs, PostgreSQL, GraphQL, Figma, Webflow and ORMs like Mongoose and Sequelize.

Data Sciences

I am a highly skilled Data Scientist with a good understanding of Data Analysis, Preprocessing and Visualization. I use Python to make Exploratory Data Analysis Reports. I can also build ETL pipelines on AWS having interned at Bytewise Limited as a Data Engineer.

Machine/Deep Learning

For ML and DL tasks I primarily use PyTorch, Tensorflow and Scikit Learn. Having worked as a research assistant for Masters and PhD students, I can train highly accurate models for pretty much any sort of NLP or Computer Vision use cases ranging from classification, regression, sentiment analysis, object or text detection and recognition.

Business Intelligence

I love extracting meaningful insights from data. I use Pandas to preprocess data and then Power BI to make dashboards and reports to help decision makers. I have a strong grip on Power BI's DAX expression and have also used Google's Looker for Business Intelligence.