Data Scientist | 3+ YOE | Advanced Analytics, Advanced Programming, ML, Data Engineering

A versatile experienced and advanced professional

A versatile experienced and advanced professional, particularly a Data scientist with an Actuarial and mathematical statistics backing, offering a powerful mix of quantitative rigor and advanced technical skills and experience. A proven track record of delivering high quality solutions to resolve complex challenges and meet targets. Socially intelligent and great at interacting with people.

Education:

• Master of Technology in Data Science and Artificial Intelligence
• BCommerce Mathematical Sciences (Actuarial science, Mathematical statistics) – Double Major

Some of my key achievements and contributions in the industry:

• Designed a robust SQL-based RDBMS from idealization to deployment, creating a centralized, secure data infrastructure that streamlined access, enhanced governance, and scaled with business growth and needs.
• Saved the business significant outsourcing costs by internally developing solutions that could have been sourced from third-party vendors, showcasing both technical leadership and cost optimization.
• Created, Programmed and deployed an automated quotation system that is currently being used by Diamond Health Insurance in Mozambique, significantly improving business acquisition and service turnover time, Directly contributing to over $390,000+ annualized (and growing) in new business growth while improving service delivery and operational efficiency.
• Introduced automated proactive BI dashboards and alerts for key operational, performance and financial KPIs integrated with ETL pipelines, enhancing strategic decision-making across departments and providing valuable insights. This was a part of the core elements of the business evolution pillar of the business strategy. This led to significant cost savings vs third party outsourcing.
• Developed an advanced AI and ML recommendation engine for tailoring wellness and preventive care packages to members based on historical utilization, demographics, and lifestyle data; improving engagement and benefit uptake.
• Produced high-impact reports for executives and the board. Delivering business-critical analytics and actuarial support to guide benefit design, pricing strategies, performance monitoring and provide actionable insights that drive business growth. Conducting in-depth benefit and rate reviews to ensure pricing adequacy and competitiveness for all the products in the business (across multi-currency portfolios – both the USD and ZWG portfolio).
• Participated in Forensic and managed care investigations, detecting fraud, waste, and abuse - delivering material cost recoveries and protecting scheme sustainability.
• Product development and research. Led the successful development of the new Hospital only product portfolio from ideation to commercialization. I also led the enhancement and redevelopment of an existing product named Micromed resulting in improved functionality, customer experience, and market competitiveness. Preparing research proposals and creating business cases (e.g., played a key role in the development of the international product business case)
• Streamlining, automating and optimizing processes, through advanced programming tools and techniques. which led to improved productivity and efficiency (e.g. created a system which increased the efficiency of key client reporting pipelines by at least 25 times and reduced turn around time by 93% and significantly improved the quality of the output).
• Built financial models and performed scenario testing to support fund designs (e.g. the designed the self-insured funds for universities such as the University of Zimbabwe, and the student health insurance fund for Midlands State University Students).
• Designed an AI-powered OCR system to automate the extraction of data from handwritten forms and scanned documents within the membership onboarding and underwriting workflow, significantly improving turnaround times and operational efficiency.
• Initiated the automation of ex-gratia assessments by developing a scoring logic/model based on past claim experience and medical history, thereby supporting consistent, fair, and systematic decisions.
• Developed a Managed Care Rewards system, inspired by the Discovery Vitality concept, to incentivize healthy behavior and optimize long-term cost containment.

Technical Tools & Proficiency:

• Programming: Advanced Python (pandas, NumPy, scikit-learn), R, Java
• Machine Learning: Supervised, Unsupervised and Deep Learning
• AI: PyTorch, TensorFlow, MLflow, LLM, RAG
• Databases: SQL , NoSQL (Big Data, e.g Hadoop)
• Data Engineering
• Cloud Platforms: GCP
• IoT: Arduino, Packet Tracer
• Data Visualization: Power BI, Tableau
• MLOps: CI/CD, Kubernetes
• Statistical and Actuarial Analysis
• Natural Language Processing: NLTK, Hugging Face Transformers, Google Cloud Vision