Ivo Mbi is a Cameroonian by birth and currently residing in Belgium with over 5+ years of working experience in data related fields such as database designer, developer and administrator and data analyst, helping companies store, manage, extract and make sense out their data. His successes have been backed by a rich and diverse educational background with degrees in data science, statistics, Health economics and Biochemistry. Not leaving out key certifications such as Microsoft Certified Azure Data Scientist Associate and SAS Certified Specialist in Machine Learning Using SAS Viya 3.4 just to name a few. He is very passionate about helping business make data driven decisions. While looking forward to become a chief data officer in the future, he intends to pick up positions such as Data Engineer, Machine Learning Engineer, Data Scientist, Data Analyst. Lately , reading books and doing writeups excites him and makes him a better person.
Kubam Ivo Mbi
+32489500135
Kerkstraat 30, Tienen Belgium
[email protected] / [email protected]
LinkedIn
Université Libre de Brussels, Belgium
Advance Master: Data Science, Big Data
2020 - 2021
University of Hasselt, Belgium
MSc. Statistics
2018 - 2021
Catholic University Cameroon
MSc. Health Economics Policy and Management
2014 - 2016
University of Buea, Cameroon
BSc. Biochemistry
2007 - 2010
Data Engineer/ Data Scientist Intern
DataMinded, Leuven-Belgium
1/3/2021 – 28/5/2021
ACTIVITIES
- Project: Automated Anomaly Detection (AOD) tool
- Train, test and evaluated 4 outlier detection models against 6 datasets
- Best model (COPOD) was then used to detect outliers on a real weather dataset from Brazil.
- Recommendations for the AOD tool
Microsoft Student Learn Ambassador
Aug 2020 – present
ACTIVITIES
- Access to Microsoft AI and Machine learning resources and free Azure credits to experiment new ideas.
- Collaborating with peers around the world to solve problems, share ideas, learn and get international exposure
- Organize and host community Events of size 10- 30 attendees such as: Introduction to Git and GitHub (8th October 2020), Azure Machine Learning (31st October 2020)
- Direct contact with Microsoft employees for guidance and exposure to trending ideas
Founder &CEO, Data Analyst, Database Developer and Administrator
SEED Inc. (Start-up): Data Management and Analytics
January 2016–September 2018
ACTIVITIES
- Created and implemented the company’s vision and mission
- Led a team of four to developed the company’s short- and long-term strategies
- Maintained awareness of the competitive market landscape, negotiated strategic deals to expand company’s opportunities
- Set up strategic goals and made sure they are measurable and describable
ACTIVITIES AS HEALTH/BUSINESS DATA ANALYST:
- Designed, developed and maintained customized RDBMS to replaced paper based systems .
- Trained staff of sizes 4-10 with close follow-up to ensure smooth transition t to the new computerized system.
- Coordinate project team of 4- 6 consisting of network, IT, database and software developers.
- Collected data from relational database, Ensure Data validation and preparation for analysis and produced health and business reports for several decision makers.
- Assemble and maintain relational databases to ensure no down time.
- Built and analyze live interactive using PowerBi, SSRS and other reporting tools for the different departments.
- Query the Relational databases using SQL to answer specific business questions
Health Data Analyst (Contract)
Mary Health of Africa, Fontem-Cameroon
Jan 2018 –April 2018
Health Data Analyst (Contract)
Prestige Health Centre, Mbouda-Cameroon
August – October 2018
Health Data Analyst (Volunteer)
St Blaise Clinic, Bamenda-Cameroon
June 2016 – December 2017
Monitoring and Evaluation officer (Internship)
Mbingo Baptist Hospital, Cameroon
August 2015
Business Data Analyst (Contract)
St Michael Academy of Science and Arts
September 2014 – June 2018
Science Teacher (Part Time)
St Michael Academy of Science and Arts, Nkwen-Bamenda
Sacred Heart College, Mankon-Bamenda.
St Paul's College, Nkwen-Bamenda.
September 2012 - June2014
Microsoft Certified: Data Analyst Associate
June 2021
Skills Acquired: Prepare the data, Model the data, Visualize the data, Analyze the data, Deploy and maintain deliverables using PowerBi
Microsoft Azure AI Fundamental
April 2021
Skills Acquired: Describe Artificial Intelligence workloads and considerations, fundamental principles of machine learning on Azure, features of computer vision workloads on Azure, features of Natural Language Processing (NLP) workloads on Azure and features of conversational AI workloads on Azure
Linkedin Learning
February, 2021
- Learning Cloud Computing: Core Concepts
- Data Science Foundations: Data Engineering
Databricks Academy
December 06, 2020
- Certificate of Completion of Introduction to Apache Spark’s Architecture
- Certificate of Completion of Fundamentals of SQL
November 28, 2020
- Certificate of Completion of Introduction to Big Data
- Certificate of Completion of Unified Data Analytics
Microsoft Certified: Azure Data Scientist Associate
August 2020
Skills Acquired: Set up an Azure Machine Learning workspace, Run experiments and train models, Optimize and manage models, Deploy and consume models
SAS Certified Specialist: Machine Learning Using SAS Viya 3.4
April 2020
Verification ID: FHLS3SW12N14QCKD
Skills Acquired: Preparing data and feature engineering, Creating supervised machine learning models, Assessing model performance, Deploying models into production
SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
February 2020
Verification ID: 7YNCPBEKKB1QQWC2
Skills Acquired: Analysis of variance, Linear and logistic regression, Preparing inputs for predictive models, Measuring model performance
SAS Certified Specialist: Base Programming Using SAS 9.4
November 2019
Verification ID: BP368VGK22B1185K
Skills Acquired: Access and Create Data Structures, Manage Data, Error Handling, Generate Reports and Output
Event: Project InnerEye
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack
Organizer: Microsoft
Date: 2/11/2021
Event : Introduction to Lakehouse and SQL Analytics Organizer: Databricks 9/2/2021
Event: Project Moab, Project Bonsai
Autonomous Systems from Microsoft
Organizer: Microsoft
Date: 2/3/2021
WHO AFRICA Hackathon
30TH March – 1ST April 2020
ACTIVITIES
- Brainstorming on the Development of new technological and innovative ideas that could contribute to strengthening the current COVID-19 response in the Africa continent.
Covid-19 Screening Tool
Big Data Analytics
Skills: Python, Spark, Data wrangling, Visualization, SQL, Jupyter Notebook, Markdown, spark RDD, pandas, Numpy
Machine Learning
Skills: Machine learning, python, Azure ML, scikit learn, Hyper-parameter tuning, data wrangling, model deployment, Jupyter notebook, pandas, Numpy
Data Visualization
Skills: Vega & Vega-Lite, Altair package, R programming, Latex, Python, ipython Widgets, Matplotlib, seaborn
Time Series Forecast
Skills: Jupyter Widgets, Time series analysis, pmdarima
Software Development
Skills: Hadoop, Apache Spark, MongoDB, Map/Reduce, MySQL, Azure SQL, Git and GitHub, SAS, R, MatLab, Data crunching, NoSQL, BigData, distributed Computing, Azure Cloud Soft Skills:
- Strong communication and presentation skills
- Creative, innovative, and strategic thinker
- Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas
- Leader and team player
- Proactive attitude, customer oriented and results.
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