Lawrence Iweriebor, Ph.D.

• Scored exams and graded student performance fairly.
• Evaluated and selected instructional materials and texts to prepare course materials and lesson plans.
• Developed supplemental materials to support diverse learning needs within the classroom.
• Completed classroom planning by creating and preparing exams, classroom discussions and lectures.
• Promoted a positive learning environment through open communication and constructive feedback.
• Appraised student understanding by applying course content and gauging comprehension.
• Designed and distributed feedback forms to continually improve teaching skills and develop stronger connection with students.
• Contributed to program development by participating in curriculum review committees and accreditation processes.
• Conducted assessments and provided individualized feedback to help students improve their performance.
• Advised students in academic matters to improve successful course completion.
• Utilized various teaching methodologies to accommodate different learning styles within the classroom setting.

• Designed and implemented over 20 machine-learning models for different projects and verified the results of algorithms to predict future occurrences using real-world program data.
• Performed ETL processes in data cleaning, modeling, data mining, and report sharing using Power BI, which reduced turnaround time by at least 90% to meet SLA's standards.
• Developed high-performing teams by providing mentorship, guidance, and opportunities for professional growth.
• Cultivated a positive work environment that fostered employee engagement, increased retention rates, and boosted overall team morale. Enhanced team collaboration through regular communication, goal setting, and performance evaluations.
• Boosted client satisfaction rates through exceptional relationship management and prompt resolution of issues.
• Proactively identified potential risks and implemented mitigation strategies to minimize negative impacts on projects or business operations.
• Strengthened internal controls by reviewing existing policies and procedures, ensuring compliance with regulatory requirements
• Secured key partnerships contributing to the company's overall growth strategy and market reach. Increased company revenue by streamlining processes and implementing cost-saving measures.
• Assisted in recruiting, hiring, and training of team members.
• Constructed operational reporting in Tableau to improve scheduling contractors, saving $85,000 in the annual budget.

• Maintained open lines of communication with students through regular office hours and prompt email responses, addressing concerns or questions efficiently.
• Assessed student performance through exams, projects, presentations, and other evaluation methods tailored to course objectives.
• Provided constructive feedback on assignments, enabling students to improve their writing and critical thinking skills.
• Established strong rapport with students by demonstrating genuine interest in their academic progress and personal growth as scholars.
• Taught data analytics and business intelligence courses, providing instruction to up to sixty undergraduate students.
• Graded quizzes, tests, homework, and projects to provide students with timely academic progress information and feedback.
• Evaluated and revised lesson plans and course content to achieve student-centered learning.
• Encouraged class discussions by building discussions into lessons, actively soliciting input, asking open-ended questions and using techniques to track student participation.
• Used exams, quizzes and assignments to assess student comprehension.

Analyzed underground Verizon, Comcast, and RCN utilities mapping with the use of PMT and USIC "Translore" data mapping.

• Developed a program in SAS that automated refinement of linear regression models for specific segments of a customer base that saved 20 hours of manual work per month.
• Utilized Google Cloud Natural Language API with Python to perform entity extraction, content classification, and sentiment analysis.
• Developed a SQL Server Integration Services (SSIS) package to transmit files from 150 sources and loaded the data into multiple SL database tables.
• Developed predictive models using machine learning, natural language and statistical analysis methods.
• Extracted datasets Salesforce CRM and loaded the datasets into SQL relational database, created multiple tables required for analysis and leveraged SQL syntax to retrieve, manipulate and extract results of the analysis.

• Automated manual reporting processes and introduced AI/ML models that improved the scalability and efficiency of the company's analytics system.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Utilized data visualization tools to effectively communicate business insights.
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
• Provided actionable insights through comprehensive reports and dashboards, supporting strategic initiatives.
• Streamlined reporting processes, resulting in faster turnaround times for monthly performance reports.
• Automated routine data analysis tasks, freeing up time for more complex analysis.
• Improved data visualization techniques, making insights more accessible to non-technical stakeholders.
• Leveraged advanced analytics to identify trends, enabling proactive business strategy adjustments.
• Created dashboards to monitor and track key performance indicators.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.

• Tested students to assess progress and adapted learning plans in alignment with performance.
• Applied various teaching aids to minimize learning gaps and instruct and motivate students.
• Enhanced classroom collaboration through the implementation of group projects and team-building activities.
• Boosted student performance by providing individualized support and targeted feedback.
• Increased student participation via engaging lectures and assignments.
• Tracked student progress, frequently checking in with struggling students and identifying root causes of problems.
• Promoted a positive learning environment by establishing clear expectations and maintaining consistent classroom management techniques.
• Developed and clearly presented classroom rules, guidelines and objectives.
• Reviewed class and student records to identify improvement opportunities.
• Enhanced student engagement by integrating interactive technologies into curriculum.

• Implemented tax-efficient strategies for clients, maximizing returns while minimizing tax liabilities.
• Helped individuals and families build and execute wealth management strategies based on unique goals and objectives.
• Built strong relationships with clients, fostering trust and loyalty in managing their financial portfolios.
• Ensured compliance with industry regulations and company policies while serving clients'' best interests.
• Analyzed clients'' risk tolerance levels, developing customized investment portfolios that aligned with their personal objectives.
• Educated clients on various financial matters and provided professional recommendations on investment opportunities, products, and services based on each clients' individual needs.
• Developed comprehensive financial plans for clients to achieve short-term and long-term goals.
• Enhanced predictive analytics capabilities by incorporating advanced statistical modeling techniques into existing workflows.
• Evaluated emerging trends in business intelligence technology, recommending appropriate upgrades or investments as necessary.
• Served as a subject matter expert on various BI platforms, providing guidance and troubleshooting assistance as needed.
• Handled massive quantities of business intelligence data.