- Improved data accuracy by 35% for an insurance company by leveraging advance SQL on Google Cloud. - Produced KPI metrics, allowing the insurance company to make informed decisions and target high valued customers. This increased revenue by 10%
- Conducted analysis on a supermarket’s transaction dataset and identified customer purchasing behaviour. - Used t-tests to identify significant differences between customer segments and their purchasing behaviour. - Created the supermarket’s strategic plan for the chip category in the next half year.
- Conducted analysis on customers’ transaction dataset to predict annual salary. - Achieved R-squared of 92.2% in the Random Forest Regression model. - Predicted the annual salary for 100 customers which improved productivity by 25%.
QUANTIUM DATA ANALYTICS VIRTUAL INTERNSHIPJanuary 2021 - January 2021
- Conducted analysis on client’s transaction dataset and identified customer purchasing behaviour. - Generated Insights and provided commercial recommendations. - Used t-tests to identify significant differences between customer segments and their purchasing behaviour. - https://github.com/barbarazen/Quantium-Data-Analytics-Virtual-Experience
BCG DATA SCIENCE & ADVANCED ANALYTICS VIRTUAL INTERNSHIPJanuary 2021 - January 2021
- Created a model to predict companies likely to churn from PowerCo - an energy company. - Classified the factors that affected the company churn using Random Forest Classifier and feature importance. - Achieved 90% accuracy in the model, using Keras in TensorFlow. - https://github.com/barbarazen/BCG-Open-Access-Data-Science-Advanced-Analytics-Virtual-Experience-Program
ANZ DATA SCIENCE VIRTUAL INTERNSHIPJanuary 2021 - January 2021
- Conducted analysis on customers transaction dataset to predict annual salary. - Utilized Linear Regression and Decision Tree Regression for the predictive modelling. - https://github.com/barbarazen/ANZ-Data-Science-and-Analytics-Virtual-Internship--Forage
- Assessed data quality from Sprocket Central Pty LTD datasets, which contained thousands of customers and transactions data, by using Filter, VLOOKUP, Pivot Table in Excel to clean the dataset. - Analyzed the existing datasets to target high-valued customers using RFM analysis and made a PowerPoint ation including data exploration, model development, and interpretation. - Used Tableau to visualize and develop a dashboard to to clients about customer trends and behaviors, and further came up with proposals to drive higher value for the company.
Ghana National Petroleum CorporationSeptember 2017 - August 2018
- Part of Ghana’s flagship 2D On-land Seismic Data Acquisition project team which looks for accurate data of potential oil findings on over 40% land mass of Ghana -Increased the efficiency of the technical team by 35% by honing project management skills. - Provided administrative and substantive support to the teammates. This included the preparation of background documents and handling of logistics. - Monitored and analyzed the project development by reviewing relevant documents and reports. - Identified problems to be addressed and further documented recommended corrective actions. - Liaised with relevant stakeholders to identify and track follow-up actions. - Participated in survey initiatives; assisted with design of data collection tools; analyzed and interpreted responses. - Contributed to the preparation of various written outputs, e.g. draft background papers, analytical notes, sections of reports and studies and inputs to contracts.
TensorFlow, Python, Power BI, Pandas, NumPy, MySQL, Market research, Logistic Regression, Linear Regression, Keras, Decision Forest, Big Data, AWS
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