About
Software Developer honing my skills in ML programming with an academic background, bachelor's degree in physics. Looking for new opportunities to put my knowledge into practice, to learn from new challenges and to work with bright teams.
- Birthday: 19 July 1990
- Website: jlassi1.github.io
- Phone: +216 23 494 880
- City: Tunis, Tunisia
- Age: 31
- Degree: Bachelor Degree
- PhEmailone: khawlajlassi1990@gmail.com
- Freelance: Available
Facts
Repositories
Between school projects and team projects
Contributions
More than 1.8 k in 2020 and 751 in 2021
Blog Post
Blog posts published in linkedin and meduim
Peers
Learning from them during my study
Skills
Framworks
Pandas
Numpy
Keras
Matplotlib
Jupyter
TensorFlow
MySQL
Flutter
Flask
Node.js
Docker
jQuery
Resume
Sumary
Khawla Jlassi
Software Developer graduated from Holberton School and I have a bachelor's degree in Physics from FST. After graduating as a physics teacher and work for more than 2 years, I decided to switch my career and dive into the TECH world. I have been studying low-level programming, high-level programming, system engineering and devops, and machine learning programming (Supervised, unsupervised & reinforcement learning) using a methodology based on peer-learning, projects and Agile approach.
Education
SOFTWARE DEVELOPER TRAINING
2020 - 2021
Holberton School Tunisia
- The methodology adopted in school helped me acquire the skill of self-learn and collaboration
- Strong skills in coding
- The ability to analyze complex technical information
BACHELOR DEGREE IN PHYSICS
2010 - 2015
University FST TUNIS
- Linear Algebra
- Quantum physics
- Statistical physics
Professional Experience
ACADEMIC PROJECTS
2020 - 2021
Holberton School Tunis
- Airbnb_clone: recreate the Airbnb website from scratch using HTML, CSS, JavaScript
- Shell: building an interactive interface with C from scratch in a 15 day
- Khrafa: cross-platform application with folkloric Tunisian stories for bedtime with Dart using Flutter and android studio in a 30 day
- Build a multiple models (CNN, RNN, object detection, DNN, transformer...) from scratch using Python, Numpy and Tensorflow
PHYSICS TEACHER
2017 - 2019
Pyramide Paraschool
- Create a Positive Learning Environment for a classroom of +10 student
- Communicated with parents, collaborated with other teachers, who have over 15-30 years of experience.
- Taught 6th to12th-grade math, physics, and chemistry with large differences in intelligence.
Portfolio
- All
- App
- Card
- Web
Blog Posts
Time Series Forecasting Forecast Bitcoin
Time-series forecasting is one of the important areas of machine learning. This is very important when it comes to prediction problems that involve a time component.
A guide to transfer learning with Keras using DenseNet201
Transfer learning consists of taking features learned on one problem, and leveraging them on a new, similar problem.
Deep Convolutional Neural Networks (AlexNet)
A deep CNN is able to learn basic filters automatically and combine them hierarchically to enable the description of latent concepts for pattern recognition
Deep Learning: Optimization Techniques
The main types of ML optimization techniques: Gradient Descent, RMSprop, Adam, Learning Rate Schedules, Exponential Decay.........
Regularization Techniques in Deep Learning
Regularization is a set of techniques that can help avoid overfitting in neural networks, thereby improving the accuracy of deep learning models when it is fed entirely new data from the problem domain.
Deeper look into the shell
Computers understand the language of zeros and ones known as binary language. In the early days of computing, instructions were provided using binary language, which is difficult for all of us to read and write.
Contact
Location:
Omran Superieur Tunis, Tunisia
Email:
khawlajlassi1990@gmail.com
Call:
+(216) 23 494 880