Denis Lister Mazengo
About Candidate
A Data Scientist with over 4 years of experience in data management, data analysis, reporting, and business intelligence. Skilled in Python, SQL, R, Power BI, Tableau, Machine Learning, Deep Learning, and Data Visualization. Experienced in collecting, cleaning, analyzing, and interpreting complex datasets to support data-driven decision-making and improve business performance.
Currently working as a Data Operator, managing data quality, database administration, reporting, and process automation. Strong background in statistical analysis, predictive modeling, dashboard development, and transforming raw data into actionable insights. Holds a Bachelor of Science in Mathematics (Hons) and advanced certifications in Data Science, Machine Learning, NLP, Cloud Computing, and MLOps. Passionate about leveraging data and AI technologies to solve business challenges and drive organizational growth.
Location
Education
Graduated with a Bachelor of Science in Mathematics (Hons) from the University of Dodoma. Acquired strong analytical and quantitative skills in Statistics, Calculus, Linear Algebra, Operations Research, Probability Theory, Numerical Analysis, and Mathematical Modeling. Developed a solid foundation for data analysis, machine learning, business intelligence, and data-driven decision-making.
Covered Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Time Series Forecasting, Web Development, and Data Analytics.
Training in data analytics, statistical analysis, predictive modeling, Python programming, machine learning, data visualization, and business intelligence.
Work & Experience
Responsible for data collection, data entry, validation, cleansing, and management to ensure accuracy and integrity of organizational records. Analyze operational and employee data, prepare reports, and support management with data-driven insights. Maintain databases, generate employee identification cards using the Meyer System, and ensure compliance with data quality standards. Collaborate with different departments to improve data processes, automate routine tasks, and enhance reporting efficiency. Skilled in data analysis, database management, Microsoft Excel, SQL, Power BI, and business intelligence reporting.
Managed employee records, personnel documentation, leave management, attendance tracking, and HR database updates. Prepared workforce reports, maintained confidential employee information, and supported recruitment and onboarding activities. Ensured accuracy of personnel data and compliance with company policies and procedures.
Monitored employee attendance records using biometric systems and attendance databases. Prepared daily, weekly, and monthly attendance reports, verified timesheets, identified discrepancies, and coordinated with supervisors to maintain accurate workforce records. Supported payroll preparation through reliable attendance data management.
Collected, analyzed, validated, and managed healthcare data to support reporting and decision-making. Maintained patient records, prepared statistical reports, ensured data quality, and assisted in monitoring health indicators. Worked with health information systems and contributed to evidence-based healthcare planning and evaluation.
