Tinashe Erwin Vhurumuku

• Developing and deploying AI models for trade compliance, enhancing regulatory oversight, and mitigating risks.
• Engineering design-based solutions for efficient data handling and automated screening of potential bad actors in trade.
• Designing and maintaining comprehensive ETL pipelines utilizing MongoDB, SQL, and other technologies to ensure seamless data integration and accuracy.
• Leveraging my aeronautical engineering expertise to continuously integrate technical precision with trade compliance and accounting frameworks.
• Conducting detailed risk assessments and performance analyses to drive continuous improvement in compliance protocols.

• Spearheading the end-to-end design, optimization, and maintenance of intricate ETL data pipelines for sports data engineering
• Developing, fine-tuning, and deploying advanced sports prediction models, consistently improving their accuracy
• Conducting extensive big data analysis, utilizing a powerful tech stack that encompassed PySpark, pandas, TensorFlow, and SQL
• Efficiently managing complex Spark jobs on AWS-EMR, ensuring the streamlined processing of large datasets
• Leading the implementation of OpenSearch and ElasticSearch solutions, thereby facilitating advanced data retrieval capabilities
• Delving into in-depth research and application of cutting-edge machine learning techniques, enhancing the realm of sports analytics
• Producing comprehensive and actionable sports analytics reports for our esteemed clients, facilitating data-driven decision-making processes
• Creating predictive models tailored for the dynamic world of sports
• Executing Spark jobs with utmost efficiency on Amazon EC2 instances
• Contributing significantly to the design and implementation of HTML templates for automated reports
• Collaborating in the creation and management of MongoDB databases and the design of PostgreSQL databases, establishing a robust foundation for data storage and retrieval
• Leading AI model generation efforts, leveraging the latest advancements in artificial intelligence to gain a competitive edge in sports analytics

Notable Projects:

• Provided expert consulting with the England Women’s National Rugby Team, delivering data-driven strategies for performance improvement.
• Served as the data lead on developing a comprehensive sports database, creating an innovative fantasy sports app, and managing large-scale data integration and analytics.

• Architected web applications and data pipelines, including digitalization of the World Economic Congress
• Implemented ERP software (ERPNext) for individual clients and small enterprises
• Developed Python scripts, object-oriented programs, and backend systems
• Provided expert business consulting in the industrial engineering sector
• Lead technology strategy and innovation initiatives, aligning technology with business goals
• Oversaw the development of scalable software solutions, optimizing efficiency
• Managed cross-functional teams of engineers, data scientists, and developers
• Evaluated emerging technologies and recommended adoption for business growth
• Ensured data security, privacy, and compliance with industry standards

• Company Overview: Freelancer
• Leveraged CFD analysis to optimize wind turbine blade designs for startups
• Created sophisticated 6DOF aircraft models using AVL, Matlab, Simulink, and Python
• Designed and analyzed drones, fixed-wing, and rotary-wing aircraft
• Performed flight dynamics analysis, stability analysis, and control system design
• Developed C++ and C code for drones and implemented Computer Vision for drone control
• Utilized Airsim, ROS, Gazebo, and TensorFlow to enhance drone capabilities