Strategic Information and Evaluation Officer January 2024 to December 2024
Assisted in spearheading, monitor and track progress of various researches while utilizing a data scientist's package
Hi I'm Bhekinkosi Praise Moyo On a quest to get the most out of Big Data that is being generated daily everytime we use any digital resource. He is also an aspriring data scientist in the making known to have brilliant both passive and technical skills such as problem solving, critical thinking, teamwork, analytical skills, resilient in nature including all other mentioned below. I have taken sufficient amount of time studying and completed my four year BSc degree program in Data Science and Informatics at Midlands State Univerisity which has enabled me to be able to tacklle any problem intended to be solved using Data Science and Analytics while utilizing Machine Learning Algorithms, Statistics, Mathematics among other relevant tools.
It is known and I have grown to understand that,"Data cleaning and preprocessing take up around 80% of a data scientist's time. High-quality data is the foundation of accurate models and meaningful insights."
Have one year work experience working as an SIE at Zvandiri PVO. Have also mastered the data analysis pipeline from data collection to reporting and presentation
Data for use is not always available thus why i have ingested sufficient time comprehensively understand these concepts. Since it is obtained from various, it can be messy thus the need for ETL.
Solutions that drive efficiency, automation, and data-driven decision-making are at the center of my work i.e predictive models, AI-powered chatbots for service delivery, and AI Agents for awareness and engagement.
I am capable of performing hypothesis testing, regression analysis and data modeling to extract meaningful insights from complex datasets.
I specialize in transforming complex datasets into clear, compelling and interactive visualizations that make data-driven decision-making easier.
My expertise includes data cleaning, ETL processes, database management and optimizing data structures for efficiency and scalability.
Data scientists have access to a vast ecosystem of tools and frameworks—ranging from Python libraries like Pandas, Scikit-learn, and TensorFlow to cloud platforms and big data technologies—enabling them to tackle diverse tasks such as data preprocessing, machine learning, visualization, and deployment with efficiency and scalability.
Graduated with first class degree at Midlands State University in 2026
From May 2022 to November2025
Skills Gained
Gained this certification in October 2024
Skills Gained
Gained this certification in January 2025
Skills Gained
Gained this certification in March 2026
Skills Gained
I excelled in both my 'O' Level and 'A' Level. I passed my O's with seven(7) including Mathematics(A),English(B) and Combined Science(A) and A's with 11poInts
Skills Gained
Assisted in spearheading, monitor and track progress of various researches while utilizing a data scientist's package
I was involved in a team that conducted primary researches through research completion that include the project start and its endline
Applied excel advanced techniques such Pivot Charts, Pivot tables, Excel Macro, What If Analysis and basic excel functions including X, V and H -Look Up functions
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Flask-based platform utilizing KNN algorithm, web scraping, and NLTK for analyzing employee skill gaps and providing targeted training recommendations.
Flask-powered analytical platform featuring fine-tuned FinBERT model for financial sentiment analysis and banking service optimization.
Real-time banking analytics platform for user behavioral profiling, anomaly detection, and suspicious activity monitoring with advanced security features.
K-Nearest Neighbors algorithm implementation for employee skill classification and gap analysis with NLTK-powered text processing capabilities.
Customized FinBERT transformer model for financial sentiment analysis and banking service evaluation with enhanced domain-specific performance.
Advanced ensemble model combining LSTM, Isolation Forest, and Random Forest for comprehensive anomaly detection and behavioral analysis in banking systems.