Aleena Shafeek
My Skills
Key Skills
Machine Learning
Web Development
Database Management
Data Structures and Algorithms
API Development
API Integration
User Authentication
Problem-Solving
Logical Thinking
Analytical Thinking
Linux
Computer Vision
Data Preprocessing
Image Processing
NLP
Programming Languages
Python
MATLAB
HTML
CSS
JAVASCRIPT
Machine Learning Techniques
Supervised learning
Un-supervised learning
semi-supervised learning
Machine Learning Algorithms
k-Means
k-NN
SVM
CNN
Linear and logistic regression
Decision trees
Python Packages
Tensorflow
Django
Keras
Pytorch
Numpy
Pandas
Matplotlib
Nipype
Scipy
Scikit
OpenCV
Database
MongoDB
MSSQL
MATLAB
Deep Learning Toolbox
Antenna Toolbox
Image Processing
Hperspectral Image Processing
Medical Image processing
OpenCV
PILLOW
Deep Learning Networks
2D CNN
3D CNN
Multi-channel 3DCNN
FSL
Software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data
GIMP
GIMP is a cross-platform image editor available for GNU/Linux, macOS, Windows and more operating systems.
My Projects
Professional Experience
Experience & Expertise
Software Developer
March 2023 - Present
Spearheaded the development of a comprehensive ERP system, focusing on modules such as finance and
HRMS, using Python and the Django framework.
Proficiently utilised MongoDB and MSSQL databases to design and implement efficient data storage
solutions, ensuring optimal performance and scalability.
Successfully delivered a robust finance module, incorporating budgeting, financial reporting, and transaction
management.
Currently in the process of developing an advanced HRMS module, integrating functionalities for employee
management, payroll processing, and attendance tracking.
Engineered RESTful APIs to provide seamless communication between the backend and front end, enhancing
the overall responsiveness and user experience of the ERP system.
Collaborated closely with the frontend development team using React, facilitating effective communication
and integration between the backend services and the user interface.
Machine Learning Engineer
Feb 2021- July 2022
Contributed to various projects using Python and Matlab, showcasing adaptability across different
programming languages.
Led a key project in the R&D department, focusing on using radar for tracking people and identifying them.
Has been a part of projects related to predictive maintenance and electrical appliance identification.
Played a crucial role in a project utilizing the YOLO framework, improving object detection capabilities for
real-time processing.
● Managed MongoDB databases for machine learning projects, ensuring efficient data storage, retrieval, and
integration with developed models.
Freelancer
July 2020 - Present
Worked independently as a freelancer, undertaking diverse projects that leveraged Python and Matlab for their unique strengths and capabilities.
Developed and implemented deep learning models, showcasing expertise in designing neural networks and algorithms to solve complex problems.
Applied programming and analytical skills to address challenges across different domains, contributing to the successful completion of varied projects.
Kept abreast of the latest developments in Python, Matlab, deep learning, and image processing, maintaining a commitment to continuous learning and improvement.
Built a reputation for client satisfaction, leading to repeat business and referrals in the freelance community
Tutor
September 2019
Gave class on AI and ML in an internship
Image segmentation was performed using UNET. The data was first segmented for obtaining the labels using GIMP software. The training images were augmented. The segmented images have a value of 1 at the foreground segmented part and the background has a value of 0. The trained UNET model was tested and performance evaluated using Dice coefficient and Jaccard coefficient.
Github link
