I am a Telecommunications Engineer with expertise in Data Science, Data Analysis, Power Apps Development, and Networking. Holding a Bachelor's degree in Telecommunications and Information Engineering from JKUAT, I possess over five years of practical experience. My proficiency includes data analytics using SQL, Tableau, Power BI, and Python. I am certified in Microsoft Power Platform Developer Associate and Azure Data Scientist Associate, reflecting my commitment to continuous learning and professional development. With a solid foundation in telecommunications and a track record in data analytics, I am ready to contribute to innovative projects in the tech industry.
Download My CVExpertise in telecommunications engineering.
Proficient in data science and analytics.
Skilled in data analysis and interpretation.
Proficiency in developing Power Apps solutions.
Pavicon Kenya Limited / AI and Data Engineer
Job Description: Machine Learning Projects Collaborator
Developed AI models for automating workplace tasks integrated into company systems.
Gearbox Academy / Machine Learning Attaché
Job Description: Machine Learning Projects Collaborator
Collaborated on projects including Plant Disease Detection and Face Recognition using platforms like NVIDIA Jetson Nano.
Imani Radio and Television Ministries / Attaché
Job Description: Technical Operator and Electrician
Managed studio setup, television servers, and electrical maintenance.
Imani Radio and Television Ministries / Attaché
Job Description: Technical Operator and Electrician
Handled studio setups, server management, and teleprompting during broadcasts.
Jomo Kenyatta University of Agriculture and Technology/ BSc. Telecommunication and Information Engineering
I graduated with a Bachelor's degree program in Telecommunications and Information Engineering at Jomo Kenyatta University of Agriculture and Technology (JKUAT) on June 28th, 2024.
St. Joseph’s Boys National School Kitale/ Highschool
I attended my high school education at St. Joseph Boys High School in Kitale, Kenya where I graduated in 2017 with a KCSE mean grade of A-(minus).
Mumias Sugar Complex Primary School/ Primary school
KCPE score 407(A).
Years of Experience
Projects Contributed
Client Satisfaction
Coffee Consumed (I run on data!)
I offer machine learning services including model creation and deployment on platforms like websites and electronic devices such as NVIDIA Jetson Nano and Raspberry Pi Pico.
I offer data analytics services using SQL, Tableau, Power BI, and Python to extract meaningful insights from diverse datasets.
I provide networking services including enterprise networking, security, automation, switching, routing, and wireless essentials.
I offer telecommunications services including network planning, design, implementation, and optimization.
I offer data science services to extract meaningful insights from diverse datasets and build functional ML, AI and DL models.
I offer project management services including collaborative skills development, teamwork enhancement, and efficient project execution.
By: Dominic Makana Ocharo June 2024
This project performs an exploratory data analysis (EDA) on a customer churn dataset to understand the factors contributing to customer churn. The dataset is from a telecommunications company and contains various features related to customer demographics, account information, and service usage. You can get the dataset in the following link from Kaggle.
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By: Dominic Makana Ocharo May 2024
This project aims to develop a deep learning model for classifying whether a blood smear image is infected with malaria or uninfected. Malaria is a serious global health issue affecting millions of people each year, particularly in tropical and subtropical regions. Rapid and accurate diagnosis is crucial for effective treatment and management of the disease. Leveraging advanced technology and artificial intelligence, this project seeks to provide a solution for automated malaria detection, potentially improving diagnostic accuracy and saving lives worldwide.
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By: Dominic Makana Ocharo July,2023 to January,2024
Embarking on the intersection of deep learning and agriculture, this project introduces a robust system for identifying pests and diseases in maize plants, offering tailored remedies for enhanced plant health. Leveraging a Convolutional Neural Network (CNN) trained on a diverse dataset, the system excels in accurate classification. Its deployment includes a user-friendly website for image and video-based analysis, providing farmers with practical insights. Moreover, real-time monitoring in the field is made possible through deployment on an Nvidia Jetson Nano. Explore the project's innovations and potential impact HERE. Additionally, you can watch a video explaining the project process HERE.
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By: Dominic Makana Ocharo 234
The link below contains my Tableau profile which includes a variety of data analytics projects that I have completed. These projects showcase my skills in data visualization and analysis. I invite you to explore my work and see how I can help you with your data analytics needs. Thank you for your time
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By: Dominic Makana Ocharo July,2023
We are excited to present our AI/Machine Learning final year school project that I will be working on alongside my partner Shadrack Ian Onjiri. We are aiming to come up with a physical model that can analyze the leaves of different plants and help identify the types of pests or diseases that are affecting them, as well as recommend remedies to deal with the problems. Incase of any feedback or help feel free to reach me via my LinkedIn, twitter or email as listed on this website. You can get the dataset in the following LINK.
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By: Dominic Makana Ocharo January,2023
This project is a machine-learning model that predicts the number of bicycles rented in a single day using various data inputs. The model utilizes techniques such as data preprocessing, feature engineering, and model training to make accurate predictions. The ultimate goal of this project is to provide insights and assist in decision-making for businesses in the bicycle rental industry. Get the dataset in the following LINK.
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By: Dominic Makana Ocharo December,2022
The task of forecasting weather conditions for a specific location and time is known as weather forecasting. It is possible to forecast weather conditions for the next few days using weather data and algorithms. We need a dataset containing historical weather data for a specific location to forecast weather using Python. On Kaggle, I discovered a dataset based on New Delhi's daily weather data. This dataset can be used for weather forecasting. The dataset can be found in the following LINK.
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By: Dominic Makana Ocharo November,2022
This is a phone screen time analysis project I created. This Python project analyzes screen time data from mobile apps using a dataset containing information about app usage, notifications, and times each app was opened. The analysis provides insights into usage patterns, notification frequency, and the relationship between usage and notifications. By visualizing and interpreting this data, users can gain a better understanding of their app usage habits and make informed decisions about managing screen time effectively. The dataset can accessed from Kaggle using the following LINK.
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By: Dominic Makana Ocharo November,2022
This is a power BI project that I completed. The report contains information on different data jobs, including data scientists and data analysts. It includes information on the average salary for each position, the skills required for each position, and the job outlook for each position. Download the dataset using the following LINK.
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By: Dominic Makana Ocharo November,2022
Covid-19 has been a global pandemic for over two years now. In that time, there has been a lot of research done on the virus and vaccinations. This SQL project analyses that data to help understand the virus and vaccinations better. Download the dataset using the following Covid Vaccinations LINK and Covid Deaths LINK.
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By: Dominic Makana Ocharo November,2022
In this project, I was tasked with cleaning a Nashville Housing data set using SQL in order to make it usable for analysis. I used various SQL commands to filter and manipulate the data, and in the end, I was able to produce a clean and usable data set. This project showcases my ability to clean data using SQL. Download the dataset using the following LINK.
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