About
As a graduate of Computer Engineering from Air University, I offer a solid background in web development, object-oriented programming, AI, and data structures. My enthusiasm for utilizing new technologies is fueled by certifications I have obtained in data science, Python, and artificial intelligence from sites like Coursera and Forage.
Currently, as a Data Engineer, I excel in maintaining reports, updating dashboards, building data pipelines, and developing ML models and automation (Python, Google App Script, Amazon SP-API, Keepa API, etc.).
I am eager to join a team where I can apply my skills and knowledge to real-world problems, contribute to innovative solutions, and grow as an engineer. I am excited by the opportunities and challenges thof computer engineering offers, and I am always ready to learn new things and adapt to changing environments. My goal is to use my engineering skills to make a positive impact on society and the world.
- Birthday: 29 May 2000
- Email: ak655796@gmail.com
- Phone: +92 333 6974911
- City: Islamabad, Pakistan
- Age: 23
- Degree: Bachelor
Technical Skills
Soft Skills
Resume
Highly motivated Computer Engineer with technical expertise and problem-solving abilities, eager to contribute to your organization's success.
Sumary
Hammad Khan
Innovative and deadline-driven Computer Engineer with 6 months of professional experience in data analytics and model development as well as 3 month experience as technical support intern.
- Islamabad, Pakistan
- +92 333 6074911
- ak655796@gmail.com
Education
Bachelor of Computer Engineering
2019 - 2023
Air University, Islamabad
Relevent Courses
- Computer Networks
- Wireless Communication
- Operating Systems
- Artifical Intelligence
- Database
- Machine Learning
Professional Experience
Data Engineer
Dec 2023 - Currently Working
Techbaltoro LLC, ISB
- Maintenance of business reports daily
- Updation of dashboards
- Keepa API utilization to collect product data daily for model training purposes
- Developed a classification model using supervised learning techniques to increase work efficiency product, research team
- Assisting in the automation of Amazon reporting using Amazon SP-API
- Hands-on working with Google app script, python, Amazon SP-API, Keepa API, and machine learning libraries such as sci-kit-learn, Tensorflow, Keras, Facebook prophet, and many more
Data Engineer Intern
Dec 2023 - Feb 2023
Techbaltoro LLC, ISB
- Assisted in automation of Amazon reporting
- Maintained business reports on daily basis
- Ensuring reliable network connectivity
- Gained hands-on experience with Google app script, python and machine learning libraries sci-kit-learn, Keras, Facebook prophet, and many more
Trainee Data Analytics
July 2023 - Ocutuber 2023
Convergent Business Technologies, ISB
- Databases | Data Modeling | Scrum | Data Analytics Statistical Learning | SQL | C | Tableau | Problem Solving | Presentation Skills
- CS50 | SQL for Data Analysis | The Scrum Guide | Introduction to Statistic Learning in Python | Figma Course | Non-Designers Design Book | Data Visualization and Communication with Tableau | Client Needs and Software Requirements
Technical Support Intern
March 2023 - July 2023
Transcon BPO, RWP
- Set up and maintain company hardware systems
- Implementing security measures on devices
- Ensuring reliable network connectivity
- Installing and configuring software like VICIdial for employees
Professional Freelancer
2022 - 2023
Fiverr
- Websites designing and development on WordPress
- Verilog coding projects
- CRM projects
WordPress Developer Intern
July 2022 - September 2023
Khamsa Digital
- Used Elementor Pro and other plugins to design websites
- Implement basic backend requirements for websites using php
- Develop responsive websites using WordPress
Projects
List of projects I successfully completed during my degree and professional career. Details of all the projects are given on my github page.
Academic Projects
- Personal Finance Management System in C++
- University Management System using MySQL and Python
- Random Forest and CNN models for detection of unbalancing of rotating shaft using vibration data
- Vending Machine Circuit Simulation in Proteus
Final Year Project
Building Energy Signature, Measurement, Recording and Forecasting
Energy consumption control and monitoring play crucial roles in achieving energy savings in urban areas. By leveraging energy signatures, building owners can optimize their energy usage, reduce costs, and contribute to a sustainable future. Various techniques have been implemented to measure building energy consumption over time. One such technique is the energy signature, which allows for the analysis and prediction of energy use in multi-family buildings. In this study, sensor-based integrated devices, specifically ESP (Embedded Systems Platforms), were utilized to collect the required data and transmit it to cloud storage. Detailed data analysis was performed using Python data cleaning techniques to ensure that accurate and model-friendly data is fed to forecasting models.
To enable accurate forecasting and prediction of energy consumption, different algorithms were applied to the collected data. Random Forest, LSTM (Long Short-Term Memory), and GRU (Gated Recurrent Unit) models were employed as part of the forecasting process. Random Forest, a machine learning ensemble method, was used to identify key features and patterns in the data. LSTM and GRU, which are specialized recurrent neural network architectures, were employed to capture and model the sequential dependencies and to successfully forecast the power consumption using unseen data. models were compared using different evaluation metrics and the best among them was chosen to be deployed on the web.
The web application was developed to provide an easy-to-use and user-friendly interface for a user to sign up and login and to use our trained model to accurately predict the power consumption of the building.
