More About Me
5
Years of Experience as Data Scientist & Analyst
32
real-time, department-specific dashboards
29
Students Mentored across 8 countries
2
Fluent in both English & French
I specialize in delivering end-to-end analytics solutions across 8 major industries: Mining, Energy & Environment (ESG), Retail & E-commerce, Manufacturing, Technology & Software, Financial Services & Banking, Telecommunications, Media & Entertainment.
Transforming Data into Strategic Business Advantage
I'm a bilingual (English, French, and local dialect) Data Scientist & Analyst. My journey spans two countries, 3 years as a Data Analyst in Cameroon and 2 years as a Data Scientist in Ghana, where I've consistently delivered solutions that drive operational excellence and strategic decision-making.
Solutions I Deliver:
Real-Time Performance Monitoring: I design and implement comprehensive KPI dashboards that provide instant visibility into business performance across all departments, from Finance and R&D to Environmental Social Governance and Human Resources and more. These solutions eliminate manual reporting bottlenecks and enable data-driven decision-making at every level.
Predictive Analytics & Future Planning: Through advanced machine learning models, I help organizations anticipate market trends, forecast demand, and identify opportunities before competitors. My predictive solutions have enabled companies to stay ahead of industry shifts and optimize resource allocation.
Root Cause Analysis: Using statistical methods and data mining techniques, I uncover the "why" behind business challenges, providing actionable insights that resolve underlying issues rather than just symptoms.
Process Automation: I streamline reporting workflows and automate repetitive analytical tasks, freeing up valuable time for strategic initiatives while ensuring accuracy and consistency.
Proven Impact:
My cross-departmental approach ensures holistic business understanding, while my multilingual abilities (English, French, and local languages) enable seamless collaboration across diverse, multicultural teams. This adaptability has been crucial in delivering solutions that align with local business contexts while meeting international standards.
Technical Excellence:
Education: Bachelor's degree in computer science from the University of the people (United State, California | 3.17/4 CGPA)
Specialized Training: 1-Year Data Analyst Professional Program from Azubi Africa (Project-Based Learning approach)
Certifications:
Google Advanced Data Analytics Professional Certificate (Machine Learning, Statistical Analysis, Regression Models)
Google Data Analytics Professional Certificate (Data Visualization, Project Management, Communication)
Knowledge Sharing & Mentorship
Recognizing the gap between theoretical knowledge and practical application, I founded a YouTube channel where I share complete end-to-end data science projects. Through free, comprehensive tutorials, I guide professionals through real-world challenges, democratizing access to practical data science education and building a community of skilled practitioners.
Ready to transform your data challenges into competitive advantages? Let's discuss how my proven track record of delivering measurable results can drive your organization's success.
The impact speaks for itself:
RECOMMENDATIONS:
Yaounde, 4th October 2022 Notre réf. : RBC-CSL/02P/03/181 E.B. Subject: Letter of Recommendation Dear Sir/Madam, It is my pleasure to recommend Abessolo Ateba Abhas for admission to your esteemed institution. As Secretary of the Regional Baha’i Council of Centre South Littoral, I worked closely with Abessolo during his tenure as Data Analyst and Statistician from January 2019 to July 2022. His contributions significantly improved our data-driven decision-making. Abessolo led the development of a robust data collection and transmission system, streamlining reporting from the cluster to national levels. He built automated reporting tools and interactive dashboards using Excel and Power BI, which enabled real-time tracking of key performance indicators and improved operational responsiveness. He also implemented data validation processes that enhanced accuracy and reliability, and applied statistical techniques to uncover trends and guide strategic planning. His ability to communicate insights clearly made him a valued partner in our regional efforts. He collaborated across departments to integrate various data sources, making our reporting more holistic and actionable. He introduced version control systems and scheduled refresh cycles, ensuring our dashboards were always up to date. During high-demand periods, Abessolo managed tight deadlines while maintaining exceptional accuracy and clarity in his analyses. Technically skilled, highly adaptable, and team-oriented, Abessolo brings both competence and professionalism to every task. I am confident he will be an asset to any data-driven institution. Please feel free to contact me for further details. Thank you for your time and consideration.
Regional Baha'i Council of the Centre-South and Littoral
Lando Jean Pierre (Secretary)
Yaounde, 4th October 2022 Notre réf. : RBC-CSL/02P/03/181 E.B. Subject: Letter of Recommendation Dear Sir/Madam, It is my pleasure to recommend Abessolo Ateba Abhas for admission to your esteemed institution. As Secretary of the Regional Baha’i Council of Centre South Littoral, I worked closely with Abessolo during his tenure as Data Analyst and Statistician from January 2019 to July 2022. His contributions significantly improved our data-driven decision-making. Abessolo led the development of a robust data collection and transmission system, streamlining reporting from the cluster to national levels. He built automated reporting tools and interactive dashboards using Excel and Power BI, which enabled real-time tracking of key performance indicators and improved operational responsiveness. He also implemented data validation processes that enhanced accuracy and reliability, and applied statistical techniques to uncover trends and guide strategic planning. His ability to communicate insights clearly made him a valued partner in our regional efforts. He collaborated across departments to integrate various data sources, making our reporting more holistic and actionable. He introduced version control systems and scheduled refresh cycles, ensuring our dashboards were always up to date. During high-demand periods, Abessolo managed tight deadlines while maintaining exceptional accuracy and clarity in his analyses. Technically skilled, highly adaptable, and team-oriented, Abessolo brings both competence and professionalism to every task. I am confident he will be an asset to any data-driven institution. Please feel free to contact me for further details. Thank you for your time and consideration.
Regional Baha'i Council of the Centre-South and Littoral
Lando Jean Pierre (Secretary)
Yaounde, 4th October 2022 Notre réf. : RBC-CSL/02P/03/181 E.B. Subject: Letter of Recommendation Dear Sir/Madam, It is my pleasure to recommend Abessolo Ateba Abhas for admission to your esteemed institution. As Secretary of the Regional Baha’i Council of Centre South Littoral, I worked closely with Abessolo during his tenure as Data Analyst and Statistician from January 2019 to July 2022. His contributions significantly improved our data-driven decision-making. Abessolo led the development of a robust data collection and transmission system, streamlining reporting from the cluster to national levels. He built automated reporting tools and interactive dashboards using Excel and Power BI, which enabled real-time tracking of key performance indicators and improved operational responsiveness. He also implemented data validation processes that enhanced accuracy and reliability, and applied statistical techniques to uncover trends and guide strategic planning. His ability to communicate insights clearly made him a valued partner in our regional efforts. He collaborated across departments to integrate various data sources, making our reporting more holistic and actionable. He introduced version control systems and scheduled refresh cycles, ensuring our dashboards were always up to date. During high-demand periods, Abessolo managed tight deadlines while maintaining exceptional accuracy and clarity in his analyses. Technically skilled, highly adaptable, and team-oriented, Abessolo brings both competence and professionalism to every task. I am confident he will be an asset to any data-driven institution. Please feel free to contact me for further details. Thank you for your time and consideration.
Regional Baha'i Council of the Centre-South and Littoral
Lando Jean Pierre (Secretary)
16th May 2024 TO WHOM IT MAY CONCERN Dear Sir/Madam, We are pleased to recommend Abessolo Ateba Abhas to your institution. Abessolo Ateba Abhas has been an outstanding trainee at Azubi Africa and has shown immense commitment to upskilling and self-development by completing the Data Analytics Professional Program. As a credential holder, Abessolo Ateba Abhas has completed 6 projects agilely with a team while working closely with mentors from Azubi Africa and Scalework. The projects completed and the tools and skills learned include: Technical Skills Languages & Frameworks: Python, SQL (MySQL & MS SQL), Excel, Power BI (Business Intelligence), Pandas, NumPy, Scikit-Learn, Streamlit, FastAPI Tools & Methodology: Scrum, Git & GitHub, Jupyter Lab, VsCode, Docker Skills: Analytics with MS Excel, Analytics with Python, Data Querying with MS SQL and MySQL, Dashboarding with MS Power BI, Machine Learning with Python, Time Series Analysis, App Development and Deployment, API (Application Programming Interfaces) Development Projects Project 1: A Data Analysis Project on the Indian Start-Up Ecosystem • Summary: Using data from the start-up ecosystem, this project required conducting descriptive analysis (data cleaning and dashboarding) to extract valuable insights from data collected from various sources. • Tools & Methodology: Python, NumPy, Pandas, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 2: A Customer Churn Prediction Project for a Telecommunication Company • Summary: This project required exploring the intricacies of customer churn prediction in the telecommunication industry to forecast and address customer churn through data mining and predictive modeling. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 3: A Time Series Forecasting Analysis & Prediction of Sales Revenue for a Grocery Store • Summary: This project utilizes advanced time series techniques to discern trends and predict sales data for a grocery store, in the grocery industry through a robust time series analysis. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 4: Embedding Machine Learning Models in GUIs with Streamlit • Summary: This project creates interactive machine learning (ML) web applications using the Streamlit frameworks for users to interact with ML models • Tools & Methodology: Python, Scikit-Learn, Power BI, Streamlit, Git & GitHub, Scrum, and Kanban. Project 5: Building APIs (Application Programming Interfaces) for Machine Learning Applications with FastAPI • Summary: This project required creating a machine learning back end using the FastAPI framework that can be integrated with a front-end. • Tools & Methodology: Python, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Final Capstone Project: Customer Churn Prediction For Azubian • Summary: The objective of this capstone project is to design and develop a machine learning application to predict the likelihood of a customer of the African Telecommunications Company churning. • Tools & Methodology: Python, Streamlit, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Over the past 9-months, Abessolo Ateba Abhas has demonstrated determination in completing our Bootcamp and Career Accelerator program. Completing these two (2) phases of the Data Analytics Professional Program covering Microsoft Excel, Power BI, SQL Databases, Python for Data Analysis, Python for Machine Learning, and the projects have required 150 hours of peer group (team) activities and 200 hours of projects. The total time invested is at least 400 hours. Abessolo Ateba Abhas is a technically brilliant data professional, a good communicator, and a willing team player. We highly recommend Abessolo Ateba Abhas to your institution.
Azubi Africa
Mr. Robert Njuguna (Head of Engineering)
16th May 2024 TO WHOM IT MAY CONCERN Dear Sir/Madam, We are pleased to recommend Abessolo Ateba Abhas to your institution. Abessolo Ateba Abhas has been an outstanding trainee at Azubi Africa and has shown immense commitment to upskilling and self-development by completing the Data Analytics Professional Program. As a credential holder, Abessolo Ateba Abhas has completed 6 projects agilely with a team while working closely with mentors from Azubi Africa and Scalework. The projects completed and the tools and skills learned include: Technical Skills Languages & Frameworks: Python, SQL (MySQL & MS SQL), Excel, Power BI (Business Intelligence), Pandas, NumPy, Scikit-Learn, Streamlit, FastAPI Tools & Methodology: Scrum, Git & GitHub, Jupyter Lab, VsCode, Docker Skills: Analytics with MS Excel, Analytics with Python, Data Querying with MS SQL and MySQL, Dashboarding with MS Power BI, Machine Learning with Python, Time Series Analysis, App Development and Deployment, API (Application Programming Interfaces) Development Projects Project 1: A Data Analysis Project on the Indian Start-Up Ecosystem • Summary: Using data from the start-up ecosystem, this project required conducting descriptive analysis (data cleaning and dashboarding) to extract valuable insights from data collected from various sources. • Tools & Methodology: Python, NumPy, Pandas, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 2: A Customer Churn Prediction Project for a Telecommunication Company • Summary: This project required exploring the intricacies of customer churn prediction in the telecommunication industry to forecast and address customer churn through data mining and predictive modeling. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 3: A Time Series Forecasting Analysis & Prediction of Sales Revenue for a Grocery Store • Summary: This project utilizes advanced time series techniques to discern trends and predict sales data for a grocery store, in the grocery industry through a robust time series analysis. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 4: Embedding Machine Learning Models in GUIs with Streamlit • Summary: This project creates interactive machine learning (ML) web applications using the Streamlit frameworks for users to interact with ML models • Tools & Methodology: Python, Scikit-Learn, Power BI, Streamlit, Git & GitHub, Scrum, and Kanban. Project 5: Building APIs (Application Programming Interfaces) for Machine Learning Applications with FastAPI • Summary: This project required creating a machine learning back end using the FastAPI framework that can be integrated with a front-end. • Tools & Methodology: Python, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Final Capstone Project: Customer Churn Prediction For Azubian • Summary: The objective of this capstone project is to design and develop a machine learning application to predict the likelihood of a customer of the African Telecommunications Company churning. • Tools & Methodology: Python, Streamlit, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Over the past 9-months, Abessolo Ateba Abhas has demonstrated determination in completing our Bootcamp and Career Accelerator program. Completing these two (2) phases of the Data Analytics Professional Program covering Microsoft Excel, Power BI, SQL Databases, Python for Data Analysis, Python for Machine Learning, and the projects have required 150 hours of peer group (team) activities and 200 hours of projects. The total time invested is at least 400 hours. Abessolo Ateba Abhas is a technically brilliant data professional, a good communicator, and a willing team player. We highly recommend Abessolo Ateba Abhas to your institution.
Azubi Africa
Mr. Robert Njuguna (Head of Engineering)
16th May 2024 TO WHOM IT MAY CONCERN Dear Sir/Madam, We are pleased to recommend Abessolo Ateba Abhas to your institution. Abessolo Ateba Abhas has been an outstanding trainee at Azubi Africa and has shown immense commitment to upskilling and self-development by completing the Data Analytics Professional Program. As a credential holder, Abessolo Ateba Abhas has completed 6 projects agilely with a team while working closely with mentors from Azubi Africa and Scalework. The projects completed and the tools and skills learned include: Technical Skills Languages & Frameworks: Python, SQL (MySQL & MS SQL), Excel, Power BI (Business Intelligence), Pandas, NumPy, Scikit-Learn, Streamlit, FastAPI Tools & Methodology: Scrum, Git & GitHub, Jupyter Lab, VsCode, Docker Skills: Analytics with MS Excel, Analytics with Python, Data Querying with MS SQL and MySQL, Dashboarding with MS Power BI, Machine Learning with Python, Time Series Analysis, App Development and Deployment, API (Application Programming Interfaces) Development Projects Project 1: A Data Analysis Project on the Indian Start-Up Ecosystem • Summary: Using data from the start-up ecosystem, this project required conducting descriptive analysis (data cleaning and dashboarding) to extract valuable insights from data collected from various sources. • Tools & Methodology: Python, NumPy, Pandas, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 2: A Customer Churn Prediction Project for a Telecommunication Company • Summary: This project required exploring the intricacies of customer churn prediction in the telecommunication industry to forecast and address customer churn through data mining and predictive modeling. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 3: A Time Series Forecasting Analysis & Prediction of Sales Revenue for a Grocery Store • Summary: This project utilizes advanced time series techniques to discern trends and predict sales data for a grocery store, in the grocery industry through a robust time series analysis. • Tools & Methodology: Python, NumPy, Pandas, Scikit-Learn, MS SQL, Power BI, Git & GitHub, Scrum, and Kanban. Project 4: Embedding Machine Learning Models in GUIs with Streamlit • Summary: This project creates interactive machine learning (ML) web applications using the Streamlit frameworks for users to interact with ML models • Tools & Methodology: Python, Scikit-Learn, Power BI, Streamlit, Git & GitHub, Scrum, and Kanban. Project 5: Building APIs (Application Programming Interfaces) for Machine Learning Applications with FastAPI • Summary: This project required creating a machine learning back end using the FastAPI framework that can be integrated with a front-end. • Tools & Methodology: Python, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Final Capstone Project: Customer Churn Prediction For Azubian • Summary: The objective of this capstone project is to design and develop a machine learning application to predict the likelihood of a customer of the African Telecommunications Company churning. • Tools & Methodology: Python, Streamlit, FastAPI, Docker, Git & GitHub, Scrum, and Kanban Over the past 9-months, Abessolo Ateba Abhas has demonstrated determination in completing our Bootcamp and Career Accelerator program. Completing these two (2) phases of the Data Analytics Professional Program covering Microsoft Excel, Power BI, SQL Databases, Python for Data Analysis, Python for Machine Learning, and the projects have required 150 hours of peer group (team) activities and 200 hours of projects. The total time invested is at least 400 hours. Abessolo Ateba Abhas is a technically brilliant data professional, a good communicator, and a willing team player. We highly recommend Abessolo Ateba Abhas to your institution.
Azubi Africa
Mr. Robert Njuguna (Head of Engineering)