Solomon Addai
Auburn Hills,Michigan
Summary
Experienced with quantitative techniques to analyze financial data and trends. Utilizes statistical methods and algorithms to provide meaningful insights for decision-making. Track record of using programming skills to develop and implement effective financial models.
Overview
5
5
years of professional experience
Work History
Actuarial /Quantitative Analyst
National General Insurance Company
Winston-Salem, NC
08.2022 - Current
- Performed due diligence on target companies during mergers and acquisitions transactions by conducting thorough quantitative analyses.
- Enhanced financial models by implementing advanced quantitative techniques and statistical analysis methods.
- Implemented machine learning techniques in predictive modeling projects, resulting in improved forecast accuracy and efficiency.
- Mentored junior analysts by sharing knowledge on advanced mathematical concepts, fostering a collaborative team environment.
- Generated insightful reports for stakeholders by analyzing large sets of financial data using tools like SQL and Tableau.
- Streamlined data processing tasks with the implementation of efficient algorithms and programming languages such as Python and R.
- Provided guidance on model validation processes, reducing operational risks associated with inaccurate predictions or calculations.
- Developed and maintained documentation for quantitative models and processes, facilitating transparency and regulatory compliance.
- Responded to questions related to pricing methodology and models.
Graduate Teaching /Graduate Research Assistant
Oakland University
Rochester, MI
01.2020 - 12.2023
- Utilized advanced statistical software to analyze large datasets, uncovering key insights for informed decisionmaking.
- Participated in regular meetings with project supervisors, providing progress updates and discussing potential challenges or areas for improvement.
- Assisted in manuscript preparation, contributing to the publication of influential articles in peer-reviewed journals.
- Managed multiple research projects simultaneously, ensuring timely completion and adherence to high-quality standards.
- Enhanced research quality by conducting thorough literature reviews and synthesizing findings.
- Contributed to professionally-written scientific paper for publication.
- Planned, modified and executed research techniques, procedures and tests.
- Presented research findings at conferences and workshops, fostering professional growth and collaboration within the academic community.
- Mentored undergraduate students, providing guidance on research methodologies and techniques.
Actuarial Data Scientist Intern
Milliman Inc
Chicago, IL
05.2022 - 07.2022
- Evaluated model performance using appropriate metrics such as precision, recall, F1-score, and ROC-AUC curve analysis.
- Utilized various statistical methods to analyze large datasets, generating valuable insights for stakeholders.
- Used rapid application development tactics during programming phases.
- Implemented natural language processing algorithms for sentiment analysis, providing insights into customer feedback and reviews.
- Maintained documentation of all experiments performed including methodology used, results obtained along with their interpretation ensuring reproducibility at any given point of time.
- Enhanced model performance by fine-tuning hyperparameters using grid search and cross-validation techniques.
- Conducted thorough exploratory data analysis to identify patterns and trends, informing project direction.
- Modeled predictions with feature selection algorithms.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
Actuarial Data Scientist Intern
Blue Cross and Blue Shield
Detroit, MI
05.2021 - 08.2021
- Modeled predictions with feature selection algorithms.
- Devised and deployed predictive models using machine learning algorithms to drive business decisions.
- Compiled, cleaned and manipulated data for proper handling.
- Created data mining architectures and models to identify trends in large data sets.
- Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
- Performed advanced data extraction and data manipulation.
Education
Ph.D. - Applied Statistics
Oakland University
Rochester, MI12-2023
Master of Arts - Actuarial Science
Ball State University
Muncie, IN05-2018
Master of Science - Applied Mathematics
African Institute For Mathematical Science
Cape Town, South Africa06-2016
Bachelor of Science - Actuarial Science
University For Development Studies
Tamale, Ghana12-2014
Skills
- Machine learning
- Predictive modeling
- Statistical analysis
- R programming
- SQL programming
- Python programming
- Leadership skills
- Teamwork and collaboration
- Effective communication
- Problem-solving
Timeline
Actuarial /Quantitative Analyst
National General Insurance Company
08.2022 - Current
Actuarial Data Scientist Intern
Milliman Inc
05.2022 - 07.2022
Actuarial Data Scientist Intern
Blue Cross and Blue Shield
05.2021 - 08.2021
Graduate Teaching /Graduate Research Assistant
Oakland University
01.2020 - 12.2023
Ph.D. - Applied Statistics
Oakland University
Master of Arts - Actuarial Science
Ball State University
Master of Science - Applied Mathematics
African Institute For Mathematical Science
Bachelor of Science - Actuarial Science
University For Development Studies