Ahmer Ejaz

Academic

Verbatim text

Ahmer Ejaz
+923085750762, ahmerejaz.nu@gmail.com
Wah Cantt, Rawalpindi.
linkedin.com/in/ahmer-ejaz-b92740149
github.com/ahmerejaz
Education
Bachelor of Science (Computer Science)
Major:
Data Mining (SciKit, Numpy, Pandas, Python)
Blockchain and Cryptocurrency (BTC, EVM,
Solidity, NFTs)
Artificial Intelligence (CNN Architectures,
Keras)
Parallel and Distributed computing (OpenMP,
MPI)
Natural Language Processing (NLTK, LSTM,
Word2Vec)
Web Programming (React.js, Angular, MVC5)
Projects
Final Project: Tree Monitoring and Forest Spread Detection System (VGG16 CNC, TensorFlow, PyTorch, Semantic
Segmentation using U-Net CNN, Keras, Auto ML, Flask, MySQL, HTML5, CSS, Bootstrap)
The project aims to optimizes the process of planting trees, monitoring forests and detecting deforestation by using
high quality satellite imagery combined with CNN in the backend, The user can check land features in an area by
uploading the satellite images of that location, in addition user can observe deforestation in an area and can analyze
forest growth as well.
Semester Projects:
Patients’ Analysis of Heart Attack Data (DM) :Technologies Used: Python, SciKit, Anvil Description: The project aims
to perform an extensive experimentation using Naïve Bayes and K-Nearest Neighbor algorithms on patient dataset
and using filter and wrapper classification methods on discrete data for feature subset selection.
Blockchain Based Toll Tax Management System : Technologies Used: Solidity, EVM, MetaMask, Node.js
Description: Implementation of Toll Tax system on roads using blockchain technique in solidity. Each car when passes
through toll plaza it inserts block in the blockchain. Toll tax is automatically deducted from metamask wallet of car
owner.
Distributed Password Cracker (PDC) : Technologies Used: MPI, C++
Description: A clustered computing environment with multiple nodes running MPICH implementation of the MPI
specification to decipher passwords of Ubuntu shadow file. The program uses brute force on a distributed system to
assist faster decryptiion.
Event Management System (SE): Technologies Used: .NET Framework, JS, HTML, CSS, Bootstrap, MySQL.
Description: A web-based .NET Framework MVC3 application with frontend built on HTML, CSS, Bootstrap and JS and
MYSQL as backend database. C# was used as all event handler in the forms like passing information between layers or
filtering information. The application was fully working and consist of three main users: client, admin and manager
and all have different access according to their role.
Skills & Tools
Professional Skills: Teamwork, Problem Solving, Interpersonal Skills, Proactive
Technical Skills:
Python C++ C# Solidity JavaScript Node.js SQL Numpy Pandas
Hadoop TensorFlow PyTorch MVC5 OpenMP MPI HTML CSS
Jupyter Notebook Visual Studio VS Code Eclipse Qt Creator Linux
Achievements
Code Hunt (Winner) - GIKI, Topi, KPK
Applied Data Science with Python Level 2 - Badge - IBM
Data Visualization Using Python - Badge - IBM
Trainings / Certification
National Electronics Olympiad 2019 - GIKI, Topi, KPK
Air Tech Speed Programming 2019- Air University
Python 101 for Data Science - Cognitive Class
Data Analysis with Python - Cognitive Class
Interests
Blockchain Full Stack Development Computer Vision

AI enrichment