Websites
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Data Science.
Work History
Data Scientist
Upwork
01.2023 - Current
- Built a customer attrition random forest model that improved monthly retention significantly for clients likely to opt-out
- Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
- Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
- Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
- Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
- Participated actively in interdisciplinary teams'' work integrating domain knowledge from marketing, sales or finance departments into the analytical process.
- Optimized business processes for increased efficiency through detailed data analysis and visualization tools.
Data Analyst Intern
Boston Consulting Group
11.2023 - 12.2023
- Completed a customer churn analysis for BCGX Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach
- Achieved an 85% accuracy rate in predicting customer churn
- Conducted efficient data analysis using Python, including Pandas and NumPy
- Employed data visualization techniques for insightful trend interpretation
- Finished the engineering and optimization of a random forest model
- Fulfilled a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis.
- Streamlined data collection processes by implementing efficient data mining techniques.
- Optimized SQL queries for faster processing times, increasing overall productivity within the team.
- Conducted thorough data validation and cleanup, ensuring accuracy and reliability of datasets used for analysis.
- Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.
Data Scientist Intern
British Airways
10.2023 - 11.2023
- Utilized advanced data analytics techniques including word clouds, to extract and analyze sentiment from customer reviews sourced from Skytraxx.com
- Leveraged insights to inform strategic decision-making and enhance customer satisfaction initiatives at British Airways
- Demonstrated proficiency in data mining and sentiment analysis to drive actionable business outcomes
- Increased Customer satisfaction significantly by 20% with insights
- Applied data mining expertise to extract actionable insights, enhancing service quality by 20%
- Developed a predictive model aimed at comprehending the determinants influencing purchasing behavior.
- Maintained documentation of all experiments performed including methodology used, results obtained along with their interpretation ensuring reproducibility at any given point of time.
- Presented findings through clear visualizations and reports, facilitating effective communication with non-technical team members.
Education
M.D. -
01.2017 - 01.2023
Certification
IBM DATA SCIENCE
Skills
Adaptability
Data Mining
Adaptability
Statistical Analysis
Intelligence Gathering
Jupyterlab
Jupyter Notebook
GIT
Python
Problem
Critical Thinking
Teamwork
Communication
Public Speaking
Projects
https://gordonmensah.github.io/GordonDataScientist.github.io/
Timeline
Data Analyst Intern - Boston Consulting Group
11.2023 - 12.2023
Data Scientist Intern - British Airways
10.2023 - 11.2023
Data Scientist - Upwork
01.2023 - Current
Ternopil National Medical University - M.D.,
01.2017 - 01.2023