In this project, I used a typical HR dataset that describes different aspects of
an emplyee's job to predict the age of those employees who are more likely to leave the company and their attrition.
For the first part, I used four Regression algorithms. I then used Four other classification algorithms to predict their attrition.
Used Python to show methods used in data manipulation, cleaning and Visualization using the Pandas, Matplotlib and Seaborn libraries.
Highlighted several feature engineering techniques used in Machine Learning .
So because I'm a book nerd (*shouting yeah I'm a nerd and I'm proud!!!*), I built this machine learning model that recommends books to a user based on the features of the book that they pass to it.
In this project, I used data collected from Twitter and analyzed the sentiment associated with each tweet on the war in Ukraine. The dataset is from kaggle and it is updated everyday.
A simple calculator made using JavaScript, HTML and CSS.
This project is part of the Scientific Computing with Python Certification assignments by FreeCodeCamp. Make sure to check out the README.md file for a full description.
Built this web application using HTML, CSS, JavaScript, Bootstrap and the moviesdb API. I'm still working on this project but feel free to send me your valuable comments and suggestions.
Data Science
Data Analytics
Machine Learning
Data Engineering
Database Management
Data Visualization
Data Entry
Front End Development
Project Management
Web Design
View my CV
Python, R, HTML5, JavaScript, CSS
Power BI, Tableau, Advanced Excel
GitHub, Git, CI/CD
Pandas, NumPy, Sci-kit Learn, TensorFlow
GCP,ELT,ETL,Docker,Airflow,Spark,Databricks
Anaconda, Visual Studio Code
Figma
MySQL, Postgres
Flask, Django
DISCLAIMER: I have to mention that not all the projects here are mine. Some are a result of me working through tutorials I found online,
thanks to the good old interweb (yes, I actually said interweb) and the amazing Data Science community. I'm still learning and I welcome any kind of feedback, positive and negative. I believe
that is the only way I can grow as a Data Scientist and ultimately advance my career.
Email: chaleechansa@gmail.com
- BSc. Pure and Applied Mathematics (In-Process)
- Data Science Professional Certificate
- FreeCodeCamp Student
- Self-Taught Developer (Codecademy, Courseera, edX etc..)
EXPERIENCE: Please feel free to have a look at my CV for more information on my experience and skills. I'm currently working as a Data and Tech Support Officer at Microloan Foundation Zambia Microloan Foundation, A micro-finance, social enterprise currently empowering over 50,000 women from rural areas by
providing small loans to start or boost their businesses.
Email: chalee.chansa@mlfafrica.org