About
I graduated in 22nd October 2021 with a Bachelors Degree in Business Computing from Uganda Christian University. I became soo passionate about code when my lecturer introduced me to Andela, its where i learnt Python programming language from. When i learnt about how much one can do with Python such as Data Science, Database became my center of concetration and with time i became soo good with SQL. Now i know how analyse datasets, extract insights from them for better decision making and apply Machine Learning techniques to automate some business processes.
Data Analyst, ML & SQL Developer.
- Birthday: 19 June 1996
- Github: https://github.com/lewiskimtai
- Phone: +256 782 873254
- City: Kampala, Uganda
- Age: 25
- Degree: Bachelors Degree in Business Computing
- Email: lewis.kimtai@gmail.com
- Freelance: Available
Skills
My skills are mainly centered in data analysis with SQL, Python libraries such as Pandas, Matplotlib, Power BI. Machine learning with Scikit Learn and the rest are just basic web developing with Wordpress.
Resume
Sumary
Kimtai Lewis
Innovative and deadline-driven Python Developer with 1+ years of experience data analysis, machine learning modeling and webapp developing with Python programming language
- Kampala, UGANDA
- (+256) 782-873254
- lewis.kimtai@gmail.com
Education
Bachelors in Business Computing
2016 - 2021
Uganda Christian University, Mukono, UGANDA
Studied the basics of computing, accounts, and business. Studied Systems development, Information Security, Business Inteligence & Dataware Housing that i majored in.
Internship Experience
2018(SEPT) - 2018(DEC)
Kampala Capital City Authority, Kampala, UGANDA
During my internship at KCCA i learnt how to trouble shoot a network, hardwares and softwares as i was basically offering support services to several terminals connected. I learnt how to handle all hardware equipments by replacing and issuing them out and keeping records.
Professional Experience
Predictive Sales Analysis
2020(March)
Kaggle Project
- Understood, Cleaned, Explored and Visualized sales dataset provided.
- Data mined and found patterns and relationships in the sales data
- Derived analysis-friendly structured data from unstructured sales data.
- Created and adjusted a statistical model to predict future sales outcomes through Predictive modeling.
- Communicated the analysis results through Power BI to the stake holders and decisions were made in relation to the results which yielded more sales and reduced on advertisment expenses due to effecient advertisment.
Boston House Price Prediction
2020(May)
Boston, USA
- Identified the business objective. Clearly defined the question was to predict the price of a house given its variables such as location, size, etc
- Used the real estate dataset provide to carry out Predictive analytics on the historical data, statistical algorithms and machine learning techniques to identify prices of new houses given their features.
Contact
Email:
lewis.kimtai@gmail.com
Call:
+256 782 873254