Noe Careme

I am a data analyt/scientist, with more than five years of International experience. I help companies to derive actionable insights from messy data, through one to three actions: First design and automate effective data pipelines for KPIs measurement; secondly build dashboards to easily access and monitor KPIs; thirdly, build predictive models to support operational and strategic decision making. Please find below, a selected sample of former projects and impacts across diverse sectors, namely: banking, healthcare, retail, ecommerce, marketing, and agriculture.

Professional Experience Summary

BeamData, Toronto, Canada

March 2024 – Present

• Developed and deployed machine learning solutions for real-time data analytics and visualization, focusing on dynamic pricing models for the car rental industry.
• Managed the preparation and presentation of data-driven reports, ensuring accurate data maintenance and coordination with cross-functional teams.

Ashanti AI, Johannesburg, South Africa

July 2020 – January 2021

• Enhanced client data analysis capabilities through expert use of Python and machine learning, particularly in the recruitment industry.
• Played a key role in automating resume screening processes, significantly improving recruitment efficiency.

University of Sherbrooke, Faculty of Medicine and Health Science, Sherbrooke, Canada

April 2023 – March 2024

• Conducted statistical modeling and data analysis for healthcare research, focusing on early-onset type 2 diabetes.
• Built predictive models and contributed to pioneering efforts in modeling diabetes complication sequences, providing significant insights into healthcare outcomes.

University of Stellenbosch, Climate School, Stellenbosch, South Africa

July 2020 – March 2023

• Applied machine learning techniques to satellite imagery for environmental research, particularly in monitoring crop productivity and mapping invasive species.
• Led multidisciplinary research projects aimed at understanding the impact of climate change on agriculture, resulting in several published articles.

University of Stellenbosch, Stellenbosch, South Africa

January 2018 – March 2023

• Taught forecasting techniques, data analytics, and environmental data analysis to undergraduate students in Operations Research.
• Led workshops on data visualization using Python, significantly improving the analytical skills of students.

Teach Me2, Cape Town, South Africa

January 2019 – July 2020

• Provided academic support to undergraduate and postgraduate students in statistics and econometrics, helping them achieve higher performance through personalized tutoring.

Institut Universitaire de la Côte, Douala, Cameroon

September 2015 – January 2016

• Taught courses in linear programming, inventory control, and financial mathematics to undergraduate students, and served as a program coordinator before pursuing a Ph.D.

Education and Certifications Summary

University of Stellenbosch, South Africa

December 2020

• Specialized in advanced statistical methods and machine learning techniques, with a dissertation focused on forecasting water supply and demand in the Lake Chad Basin.
• Developed expertise in predictive modeling, data analysis, and the application of machine learning to solve environmental and operational challenges.

African Institute for Mathematical Sciences

June 2015

• Concentrated on mathematical modeling, statistical analysis, and computational methods, equipping you with strong quantitative analysis and problem-solving skills.

University of Dschang, Cameroon

November 2013

• Focused on the intersection of mathematics and economics, with emphasis on financial modeling, economic forecasting, and operations research.

Certifications

Hackerrank

March 2024

• Demonstrated advanced proficiency in SQL, including complex queries, database management, and data manipulation.

Google

June 2022

• Gained comprehensive knowledge in data cleaning, analysis, visualization, and data-driven decision-making using tools like SQL, R, and Tableau.

Udemy

June 2022

• Acquired skills in integrating SQL, Python, and Tableau for effective data analysis and visualization, enabling the creation of comprehensive data solutions.