Martin Obare Ocharo
Data Analyst And Machine Learning Engineer
Nairobi
Summary
Highly motivated Data Analyst with 4+ years of experience leveraging machine learning, data analysis, and data pipelines to solve complex problems and drive data-driven decision-making. Proven ability to transform raw data into actionable insights through insightful reports and compelling visualizations. Skilled in Python, R, SQL, and various machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). I also possess strong software development skills, having built web applications using Flask for data visualization.
Additionally, I have 4+ years of experience in academia and research, developing artificial intelligence models and conducting research in computational intelligence. This background strengthens the ability to leverage cutting-edge techniques to automate tasks and optimize processes.
Overview
5
5
years of professional experience
8
8
years of post-secondary education
Work History
Associate Faculty
Jomo Kenyatta University of Agriculture and Technology & Mount Kenya University
1 2024 - Current
- Participate in seminars, workshops, and conferences to disseminate knowledge and establish professional networking and collaboration
- Offer consultancy services, bridging the gap between academia and industry
- Oversee research projects and assess undergraduate Capstone projects
- Supervised undergraduate Capstone projects involving data analysis and machine learning techniques. Example: Movie Recommender Systems (Natural Language Processing), Credit Card Fraud detection, Enhancing artificial intelligence (AI) capabilities to automate repetitive tasks within Keysian Auctioneers' debt collection processes.
- Provided guidance to students on data collection, analysis, and interpretation in the context of their research projects.
- Develop partnerships with industry stakeholders and other academic institutions
- Lead research teams, and oversee project budgeting and deadlines
- Facilitate hands-on learning experiences and develop experimental activities
- Create and update course outlines, suggesting appropriate lecturing materials. Provide academic support, curate course content, and develop syllabus-aligned teaching resources
- Present research findings at professional forums and participate in Corporate Social Responsibility (CSR) initiatives, like entrepreneurial and social advancements in local communities.
- Organize and deliver weekly course content and contribute to Departmental and School Board meetings
- Formulate and submit research proposals, and publish scholarly articles
Quality Reporting Analyst
Metropol CRB Limited
05.2019 - Current
- A) Staff Attendance, Breaks deviation, Productivity and Occupancy, Reports (Daily) b) Departmental Revenue Analysis (Daily, Weekly, Monthly, Annual) c) Channel Trends Report (Quarterly) d) Manual Requests Tickets and resolution (Daily)
- Analyzed financial data from various sources to generate daily, weekly, monthly, and annual reports on key performance indicators (KPIs) for revenue analysis, channel trends, customer behavior, and target vs. achievement. It increased efficiency in revenue analysis by 15% through automated report generation
- Developed Python scripts using Pandas and NumPy to automate data cleaning and feature engineering, resulting in a significant reduction in data pre-processing time.
- Built a web application using Flask and deployed it on Heroku to visualize real-time sales data for the marketing department, leading to a 20% increase in sms campaign response rates.
- Created clear and concise visualizations to communicate complex financial data to stakeholders at all levels.
- Performed ad-hoc data analysis to support strategic decision-making across various departments like customer service and Marketing department.
- Maintain data confidentiality and adhere to company policies regarding data privacy and security.
- Train and supervise junior staff on data entry procedures and best practices, ensuring high standards of data quality.
- Conduct comprehensive data analysis to identify trends, patterns, and insights, utilizing statistical methods and data visualization tools such as Excel, SQL, Microsoft Power BI, and Tableau.
- Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations based on data findings.
- Implement quality assurance processes to ensure the accuracy and integrity of data analysis outputs.
Data Scientist Research Fellow
Center for Epidemiological Modelling and Analysis (CEMA)
01.2022 - 12.2022
- Conduct research on the relationship between de-worming efforts and child health indicators in Kenya
- Compare various deep learning architectures for malaria image classification using Accuracy
- Conduct research on application of big data and machine learning approaches to healthcare issues
- Conduct the data maintenance and data acquisition activities
- Assist the organization of large datasets to get actionable insights from them
- Develop Data Visualization Dashboards to present analysis results and data insights
- Contribute to data acquisition, preparation and analysis
- Publishing findings in peer-reviewed journals.
- Collected data and compiled reports for stakeholders.
- Provide as needed support to the Technical Specialist as required for, amongst others, participating in meetings, conferences, providing administrative support, drafting meeting minutes and performing other functions and duties
Education
Masters of Science in Computational Intelligence -
University of Nairobi
09.2020 - 05.2022
Bachelors of Science in Mathematics and Computer Science - undefined
Murang'a University of Technology
09.2014 - 05.2018
C++ Computer Programming - undefined
St. Ann's College
05.2015 - 05.2015
Computer Systems Application Packages - undefined
Elgonview College
02.2014 - 05.2014
AWS Sagemaker - undefined
Great Learning Academy
06.2024 - 05.2024
Python for Machine Learning - undefined
Great Learning Academy
06.2024 - 05.2024
AWS Vs Azure VS GCP - undefined
Great Learning Academy
06.2024 - 05.2024
Introduction to Deep Learning - undefined
Great Learning Academy
06.2024 - 05.2024
Exploratory Data Analysis for Machine Learning - undefined
Coursera
01.2022 - 04.2024
Introduction to Artificial Intelligence (AI) - undefined
Coursera
02.2022 - 05.2022
Data Analysis with Python - undefined
Coursera
03.2022 - 05.2022
Getting Started with AI using IBM Watson - undefined
Coursera
04.2022 - 05.2022
Introduction to Git and GitHub - undefined
Coursera
09.2023 - 05.2023
Advanced Learning Algorithms - undefined
Coursera
Skills
- Technical Skills: Programming Languages (Python (Proficient), R (Proficient), SQL (Proficient)), NoSQL (MongoDB, PostgresSQL, Cloudant))( Machine Learning (Scikit-Learn, TensorFlow, PyTorch), Data Visualization (Matplotlib, Tableau, Power BI), Data Pipelines, Web Development (Flask), Big Data (Hadoop, Apache),
- Soft Skills: Communication, Collaboration, Problem-Solving, Critical Thinking, Time Management, Attention to Detail
Accomplishments
Research Grant, CEMA, 2022, 2022, Received funding from the Melinda and Bill Gates Foundation to conduct a research titled, "A Support Vector Regression Algorithm For Malaria Prevalence Prediction In Kenya Lake Regions."
Publications
- A Support Vector Regression Algorithm For Malaria Prevalence Prediction In Kenya Lake Regions, CEMA, Sent manuscript to Elsevier-Franklin Open Journal
- A Stacked Predictive Model for Cardiovascular Disease Diagnosis, UON, University of Nairobi Repository
References
- Mr. Benson Ndulu, Murang'a University of Technology, bndulu@mut.ac.ke, +254 722 230725
- Ms. Dorcas Awino, The Technical University of Kenya, dorcas.awino@tukenya.ac.ke, +254 713 878633
- Prof. Andrew Mwaura Kahonge, University of Nairobi, andrew.mwaura@uonbi.ac.ke, +254 728 774482
Projects
Improving Artificial Intelligence Models through Community Feedback, Jomo Kenyatta University of Agriculture and Technology, 2024, Present, Engaged community stakeholders to gather feedback on AI models.
Giving expert opinions on AI under education sector Comparison of CNN and DNN Architectures for Malaria Image Classification, Center for Epidemiological Modelling and Analysis (CEMA), 2024, 2024, Compared various deep learning architectures for malaria image classification. An AI-driven Tool for Record Linkage in HDSS Communities, INSPIRE Network, African Population & Health Research Centre, 2024, 2024, Developed an AI tool to improve record linkage in health demographic surveillance systems.
Increased the efficiency and accuracy of data integration Digital Green Crop Yield Estimate Challenge, Zindi Competition, 2023, 2023, Developed predictive models for estimating crop yields using satellite imagery.
Ranked in the top 50% of participants. Faulty Air Quality Sensor Challenge, UmojaHack Africa 2022, Zindi Competition, 2022, 2022, Built a classification model to identify faulty air quality sensors.
Improved the reliability of air quality monitoring systems. Sentiment Analysis on Covid-19 Tweets, Postgraduate Mini-Project, University of Nairobi, 2021, 2021, Analyzed sentiment of tweets related to Covid-19 using natural language processing.
Provided insights into public opinion and sentiment trends Smart Water Reader Model Using Raspberry Pi 4, Postgraduate Mini-Project, University of Nairobi, 2021, 2021, Developed a smart water meter using Raspberry Pi to monitor water usage.
Enhanced water conservation efforts through real-time monitoring. Effects of Over-Fishing in Lake Victoria using Lotka-Volterra Predator-Prey Model, Undergraduate Capstone Project, Murang'a University of Technology, 2018, 2018, Modeled the ecological impact of overfishing in Lake Victoria.
Proposed sustainable fishing practices to preserve the ecosystem.
Timeline
AWS Sagemaker - undefined
Great Learning Academy
06.2024 - 05.2024
Python for Machine Learning - undefined
Great Learning Academy
06.2024 - 05.2024
AWS Vs Azure VS GCP - undefined
Great Learning Academy
06.2024 - 05.2024
Introduction to Deep Learning - undefined
Great Learning Academy
06.2024 - 05.2024
Introduction to Git and GitHub - undefined
Coursera
09.2023 - 05.2023
Getting Started with AI using IBM Watson - undefined
Coursera
04.2022 - 05.2022
Data Analysis with Python - undefined
Coursera
03.2022 - 05.2022
Introduction to Artificial Intelligence (AI) - undefined
Coursera
02.2022 - 05.2022
Data Scientist Research Fellow
Center for Epidemiological Modelling and Analysis (CEMA)
01.2022 - 12.2022
Exploratory Data Analysis for Machine Learning - undefined
Coursera
01.2022 - 04.2024
Masters of Science in Computational Intelligence -
University of Nairobi
09.2020 - 05.2022
Quality Reporting Analyst
Metropol CRB Limited
05.2019 - Current
C++ Computer Programming - undefined
St. Ann's College
05.2015 - 05.2015
Bachelors of Science in Mathematics and Computer Science - undefined
Murang'a University of Technology
09.2014 - 05.2018
Computer Systems Application Packages - undefined
Elgonview College
02.2014 - 05.2014
Associate Faculty
Jomo Kenyatta University of Agriculture and Technology & Mount Kenya University
1 2024 - Current
Advanced Learning Algorithms - undefined
Coursera
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