Present
Software Engineer
Knowledge discovery and Data science lab
constcoder={name:'Muhammad Umar',skills:['Data analytics', 'Full stack development', 'MLOps', 'AI', 'ML', 'Data visualization', 'MySql/Postgress', 'MongoDB', hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};Who I am?
I am a data enthusiast dedicated to helping organizations make data-driven decisions through insightful analysis and visualizations. With expertise in AI/ML, I excel at preparing data for machine learning models and have a strong understanding of machine learning and AI principles. Additionally, I have a deep focus on full-stack development, allowing me to build end-to-end data-driven applications. Currently, I am learning MLOps to streamline the deployment and monitoring of machine learning models. My ability to quickly adapt to new technologies makes me a valuable asset for any organization looking to leverage data for growth and competitive advantage.

Present
Software Engineer
Knowledge discovery and Data science lab
Present
Software Engineer
Moqah.pk
(Jun 2023 - Aug 2023)
AI intern
AIM lab FAST-NU
Visualytica
constproject={name:'Visualytica',tools: ['Nextjs', 'd3.js', 'fastapi', 'NetworkX],myRole:Full stack dev focused on data visualization,Description: Visualytica streamlines network data visualization, enabling users to create and analyze graphs like DAGs and trees with ease and interactivity.,link:Click here};UrduWebify
constproject={name:'UrduWebify',tools: ['Whisper-large', 'llama 3.1', 'fastapi', 'Nextjs', 'ngrok', 'groq],myRole:Full stack dev focused on data visualization,Description: UrduWebify converts Urdu speech into customizable web pages, making web design intuitive and accessible through voice commands.,link:Click here};moqah.pk
constproject={name:'moqah.pk',tools: ['Reactjs', 'nodejs', 'tailwind CSS', 'Postgress],myRole:Full stack dev focused on backend,Description: An innovative event discovery and listing platform, Moqah.pk connects users with a diverse range of events across Pakistan, from conferences and workshops to concerts and festivals. Users can easily browse, discover, and book events by category, location, or interest, making it simpler to explore the vibrant event scene around them. Additionally, Moqah.pk empowers event organizers by allowing them to list their own events, bringing accessible information and seamless booking to everyone’s fingertips.,link:Click here};SnapBill AI
constproject={name:'SnapBill AI',tools: ['LabelImg', 'YOLO', 'Torch', 'Pillow', 'Flask', 'HTML', 'CSS', 'Js],myRole:AI/ML engineer,Description: Me and my team member built an AI-powered billing system. We have developed it using YOLO, Flask, Html, Css, and js. We trained the object detection model on pur custom dataset. The dataset was made by taking pictures of kitchen crocery items(Uploaded on kaggle),link:Click here};Hourly electricity consumption forcasting system
constproject={name:'Hourly electricity consumption forcasting system',tools: ['Torch', 'Stats model', 'D3', 'Chartjs', 'Pandas', 'Flask', 'prophet', 'skLearn],myRole:Full stack ML engineer,Description: This project aims to develop a forecasting system for hourly electricity consumption using various models, including neural networks. The system predicts electricity usage for the next 12 hours based on historical data.,link:Click here};Electronica datawarehouse
constproject={name:'Electronica datawarehouse',tools: ['JAVA', 'MySQL],myRole:Bakcend developer,Description: This project demonstrates a data warehousing system with OLAP queries, featuring a custom join algorithm (HYBRIDJOIN) that can be further optimized. The main goal is to efficiently manage and process data streams for insertion into a data warehouse. ,link:Click here};GraphViz_D3.js
constproject={name:'GraphViz_D3.js',tools: ['D3', 'Python', 'networkX', 'Flask', 'HTML', 'Css', 'js],myRole:Full Stack data scientist,Description: This project leverages the networkX library in Python to analyze the nature of the graph. Users upload an adjacency matrix, and the program determines whether the matrix represents a connected graph. If the graph is not connected, the program alerts the user to upload a connected graph file. If the graph matrix is connected, the program detects and visualizes three types of graphs,link:Click here};2021 - Present
Bachelor Degree in Data Science
FAST - National University Computing and Emebrging Sciences
2018 - 2020
Higher Secondary Certificate
Kips college Rawalpindi
* - 2018
Secondary School Certificate
Mr Cabin Public High School
Gold Medal
Spring 2024 Semester
3x Dean's list of honor certificates
GOOGLE data analytics professional certificate
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