Data Analyst
Self-employed
Total years of experience :8 years, 6 Months
• Effectively analyze complex datasets spanning diverse projects and sectors.
• Design dashboards for KPI tracking.
• Contribute expertise to survey design, sampling, and sheet creation.
• Proficiently handle data entry and conduct thorough data analysis using SPSS, R, and Power BI.
• Expertly communicate insights through meticulously structured reports.
Supervised data collection activities conducted by a statewide network of enumerators.
Provided comprehensive weekly updates on the status of displaced communities using a predesigned matrix and qualitative surveys
• Collaborated with the statistician to identify tools and indicators.
• Contributed to research and development efforts for exploration and data products.
• Applied innovative market intelligence tools in data collection.
• Facilitated a Training of Trainers (TOT) course on data literacy for the exploration team and relevant teams members.
• Provided technical support for exploration functions within the AccLab
• Instructed and supported students in various subjects including: Database Management, Data Structure, Operating Systems, Statistics, MATLAB, Graduation Projects.
• Provided guidance and assistance to students, addressing inquiries and clarifying concepts to enhance understanding of course material.
• Conducted hands-on demonstrations and tutorials to supplement classroom instruction, fostering active learning and student engagement.
• Collaborated effectively with faculty members to develop innovative teaching methodologies and curriculum materials tailored to student needs
A Master of Information Technology (IT) with a specialization in Business Intelligence (BI) focuses on equipping students with advanced skills in data analysis, data warehousing, and data mining. The program blends core IT principles with specialized BI techniques, enabling graduates to transform complex data into actionable business insights. Key areas of study include database management, statistical analysis, predictive modeling, and data visualization. This specialization prepares students for roles such as BI analysts, data scientists, and IT managers, where they can leverage data to drive strategic decision-making and improve business outcomes.