Patrick Mfungwe

An Experienced Data Analyst / Data Scientist with newly acquired skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured and unstructured data. proficient with the prevailing analytical tools, various presentation software and possesses strong and effective communication skills essential in conveying results in analysis and investigations conducted . Able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration, has great commitment to and affinity to meet deadlines without compromising accuracy and quality of work.

I have MBA (Project Management), Bsc. Degree (Statistics),Dip. Edu. Science and other short courses ie Computer Science, M&E, GIS, Database Design etc. I like exploring Quantitative and Qualitative data.

QUANTITATIVE DATA

Analysis of the following is done using SPSS, STATA, STATISTICA, JMP, MINITAB.

• Panel Data Analysis
• Principal Component Analysis
• Event Data Analysis
• Survival Data Analysis
• Structural Equation Modelling (SEM)
• Confirmatory factor analysis (CFA)
• Path Analysis
• Validity Analysis
• Regression Analysis ie Linear, Logit, Probit, Logistic, etc
• Correlation Analysis
• Factor Analysis
• Mixed Model Analysis
• Analysis of Variance (ANOVA), Analysis of Convariance (ANCOVA)
• Chi-Squared Test
• T-Test +many other parametric and non-parametric methods etc..

QUALITATIVE DATA

Analysis of the following is done using ATLAS.TI, NVIVO and Excel.

• Action Research
• Case Study
• Content Analysis
• Phenomenological Research
• Ethnography
• Grounded Theory
• Narrative Research..... etc