Lamis Ghoualmi
Data analyst | Data scientist | Research scientist
Ph.D. in computer science
Portfolio
This portfolio showcases my expertise in scientific research and computer science education, along with my current and upcoming data analysis and data science projects undertaken for academic, self-learning, and hobby purposes. I utilize a variety of tools, including Python, SQL, Power BI, and Tableau, to cleanse, explore, analyze, and construct machine learning models that yield valuable insights and predictions.
Scientific research publications
(Google scholar)
Teaching experience
Marketing dataset (Python, SQL, Tableau)
Customer Anaysis (Tableau)
Mexico Restaurant Ratings (SQL and Tableau)
SQL queries for diffrents projects.
upcoming project
DATA ANALYSIS PROJECTS
Telecom Customer Churn (Power Bi)
App: Exploratory Data Analysis App (Python)
Canvas Coockie Performance (Power Bi)
Human Ressource analysis (Power Bi)
App: Statistical description of a dataset for data cleanning (Python)
Covid 19 deaths visualization (Tableau)
Standard data cleanning (Python)
upcoming project
DATA SCIENCE PROJECTS
App: Chatbot made with openAI and streamlit (Python)
App: Translate natural language to SQL queries (Python)
App: Personal Key Indicators of Heart Disease, machine learning model (Python)
Chronic kidney disease prediction (Python)
Heart disease prediction (Python)
Diabetes prediction (Python)
Feature selection of load-digit dataset Python (Sklearn)
upcoming project
About Me
I am a highly motivated scientist, and I have experience in data analysis, data science, and optimization. I have completed a Ph.D. in computer science. In my research, I solved various problems encountered in biometrics using bio-inspired artificial intelligence. In other words, I modeled the problems encountered in biometrics as optimization problems, such as the enhancement of the biometric images and the selection, reduction, and fusion of biometric data. I am interested in working on interdisciplinary topics where I will use my background and experience in computer science, data analysis, and data science to contribute to the analysis, prediction, and development of new techniques to make informed decisions.
Keywords: Data analysis, Data science, Machine learning, Artificial intelligence, pattern recognition, optimization.
