Bisong Enow Njang-Ebob Rene

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Scientist at Corporate Web Solution
June 18, 2025 - Present
Data cleaning and predictive analytics
Data Scientist at Corporate Web Solutions Online
June 1, 2025 - Present
Data Scientist responsible for leveraging data-driven insights to enhance decision-making processes and delivering data-driven recommendations. Collaborated with cross-functional teams to implement predictive models and analytics solutions.
Data Scientist at Corporate Web Solutions Online
June 1, 2025 - Present
Developed data-driven models and dashboards to support decision-making processes; applied statistical methods and machine learning to optimize business outcomes. Collaborated with cross-functional teams to translate data insights into actionable strategies.
Data Scientist at Corporate Web Solutions Online
June 1, 2025 - Present
Data Scientist at Corporate Web Solutions Online
June 1, 2025 - Present
Data Scientist responsible for analyzing data and developing insights to support decision-making. Role focuses on leveraging data-driven approaches to inform business strategies.
Data Scientist at Online
June 1, 2025 - November 10, 2025
Dynamic data scientist focusing on data-driven insights, building predictive models and data visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly) and ML tools; experience with Scikit-learn, TensorFlow/PyTorch; proficient in data storytelling and communicating insights to stakeholders.
Data Analytics at Carnie Drilling and Engineering Ltd
March 7, 2026 - Present
Offer of expatriate Data Analytics position including orientation program, visa support, housing, travel allowances, and salary details. Commencement date indicated around 2026-03-07 with an 8:00–16:00 workday, Monday to Friday. The arrangement covers safety training, confidentiality, and potential future family health benefits; and outlines terms for termination and governing law.

Education

POSTGRADUATE at UNIVERSITY OF TEXAS AT AUSTIN
February 12, 2025 - August 13, 2025
Data Science and Business Ana lytics
Bachelor of Science at Catholic University Institute of Buea
September 11, 2017 - July 22, 2022
Chemical Engineering
Post Graduate Program in Data Science and Business Analytics at University of Texas at Austin
February 1, 2025 - October 2, 2025
Chemical Engineering at Catholic University Institute of Buea
October 1, 2018 - July 1, 2022
Post Graduate Program in Data Science and Business Analytics at University of Texas at Austin
February 1, 2025 - October 2, 2025
Chemical Engineering at Catholic University Institute of Buea
October 1, 2018 - July 1, 2022
Post Graduate Program in Data Science and Business Analytics at University of Texas at Austin
February 1, 2025 - October 2, 2025
Chemical Engineering at Catholic University Institute of Buea
October 1, 2018 - July 1, 2022
Post Graduate Program in Data Science and Business Analytics at University of Texas at Austin
February 1, 2025 - October 16, 2025
Chemical Engineering at Catholic University Institute of Buea
October 1, 2018 - July 1, 2022
Post Graduate Program in Data Science and Business Analytics at University of Texas at Austin
February 1, 2025 - November 10, 2025
Bachelor's degree in Chemical Engineering at Catholic University Institute
October 1, 2018 - July 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Financial Services, Travel & Hospitality, Healthcare, Software & Internet, Professional Services, Education, Media & Entertainment, Other, Energy & Utilities
    paper Cancer recurring
    Build machine models to predict recurring of cancer after a particular survey.
    paper EasyVisa
    This project is to build machine learning models to predict the likelihood of getting a visa approved and give recommendations to a travel consultant
    paper EasyVisa
    This project involves developing machine learning models to predict visa approval outcomes for the OFLC. By analyzing applicant data and identifying key influencing factors, we aim to streamline the visa approval process, optimize resource allocation, and improve decision-making accuracy. The ML models will provide valuable insights into applicant profiles, enabling OFLC to prioritize cases and make informed recommendations for visa certification or denial.
    paper Classification
    Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
    paper Unsupervised Learning
    Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.