Data Science Machine Learning
Resume:
Kasamba Lumwagi
+254********* *****, Mombasa, ***00, Kenya ad5dts@r.postjobfree.com
DETAILS
Date / Place of birth
Eldoret, Kenya
Nationality
Kenyan
L I NKEDIN
SKILLS
SQL
Python
Data Analysis
Git
Big Data
Power BI
Natural Language Processing
Microsoft Azure
Apache Spark
Data Science
Technical Writing
Machine Learning
Kubernetes
Data Engineering
Sentiment Analysis
Pandas (Python Package)
Docker
Scikit
TensorFlow
L ANGUAGES
and Power BI for statistical analysis and data visualization. I have worked with NLP for sentiment analysis and machine learning for predictive modeling. I actively collaborate cross-functionally to align analytical insights with business goals. Additionally, I hold certifications in Microsoft Azure, Big Data analytics with Spark and Hadoop, and Python for Data Science. EXPERIENCE
Technical Writer at MEDIUM Remote, Mombasa
January 2023 — Present
I write technical documents that accurately describe complex processes and system architecture in a clear and concise manner, specifically focusing on; Deployment of stateful workloads (Apache Spark).
Docker - basics i.e. containerization of stateful workloads. Microsoft Azure - Use of azure components i.e. data in the data engineering process. Apache Spark - architecture, query optimization to save on cost & time I produce comprehensive manuals, guides, and documentation for deploying stateful workloads (specifically Apache Spark) on Kubernetes and cover Docker basics I design captivating and visually engaging infographics to simplify intricate technical concepts, ensuring clarity and comprehension for non-technical audiences with precision and creativity.
Data Science Intern at British Airways UK Remote, Mombasa November 2023 — January 2024
I Conducted sentiment analysis on 1,000 customer reviews and collaborate cross-functionally to enhance the customer experience. I developed and implemented machine learning models to predict customer behavior related to flight bookings.
I utilized data visualization tools to create interactive graphical representations of customer satisfaction data.
I collaborated with cross-functional teams to identify and resolve data-related issues, resulting in a 10% improvement in customer experience.. Kubernetes Release Team at Cloud Native Computing Foundation US Remote, San Francisco
May 2023 — August 2023
Facilitate the deployment of version 1.28 of Kubernetes by tracking system components such as control panel components, node components, Add-Ons, and graduation from one stage to another including new, alpha, beta, depreciating stages. Oversee UX improvements including k8s dashboard, kubectl, K8s API. Manage K8s operations including deployment and scaling, monitoring, logging, resource management, backup, and disaster recovery.
Handle GPU scheduling including resource specification and multi-container GPU scheduling.
D ATA ANALYST
As a dynamic and results-oriented Data analyst, I specialize in Python (NumPy, Pandas), SQL, SUMMARY
English
Swahili
EDUCATION
Bachelor of Science Information Technology at Technical University of Mombasa, Mombasa
September 2021 — December 2025
Coursework in Data Structures and Algorithms, Database Management Systems, Data mining, Data Warehousing, and Data modeling, along with Big Data analytics and Cloud Computing, equipped me with the skills to efficiently organize, manipulate, and analyse data. Due to my exposure to tools like Hadoop, Spark, and Hive, I am proficient in managing massive amounts of data using ETL and ELT techniques to produce insightful results. Moreover, I am enthusiastic about collaborating with others, contributing to data-driven projects, and advancing my knowledge of data analysis, engineering, and visualization. COURSES
Python for Data Science, AI & Development at Coursera June 2022 — October 2022
Introduction to Big Data with Spark and Hadoop at Coursera September 2022 — December 2022
Data Engineering Foundations Specialization at Coursera June 2022 — October 2022
Databases and SQL for Data Science with Python at Coursera June 2022 — October 2022
Microsoft Azure for Data Engineering at Coursera
September 2022 — December 2022
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