Social Media Data
Resume:
Curriculum Vitae
Personal Details
*.National ID Number
2.Passport NO
FN920971
3.Sex
Male
4.Nationality & Date of Birth
Zimbabwean, 14 February 1990
5.Languages
English and Shona
6.Summary of qualifications
MSc Data Analytics (Current Studies)
Courses Covered
-Fundamentals of Programming(Python)
-Statistical Analytics (Using R and Stata)
-Data Visualization Techniques
-Database and Data warehousing
-Machine learning techniques
-Business Research Methods
-Ecometric Analytics
-Big Data Analytics(using Hadoop Ecosystem)
-Business Ethics and Corporate governance
-Ethical Hacking and Digital forensics
-Customer and Marketing Analytics
-Financial and Risk Analytics
-Business Intelligence (using SSIS,SSAS & SSRS)
-Logistics and Supply chain Analytics
-Project Management Analytics
Bachelor of Business Studies and Computing science: University of Zimbabwe
Technician Certificate in Telecommunication Systems: City and Guilds
Certified Application Associate -SAP Business Objects Web Intelligence 4.1
Certified Amazon Web Services Solution Architect
Big data Analytics, Machine learning and Predictive analytics Bootcamp,June 2018: Deep Analytics in Collaboration with Bindura University
Hadoop Administration Workshop Training, November 2018, Subex
ROC-RA and Hadoop Essentials Workshop Training, December 2018, Subex
Certified Cloud Engineer (Google Scholarship for Africa)-Current studies
Big Data, Artificial intelligence and Machine Learning Workshop Training (Econet Innoversity) - July-August 2019
Certified Oracle Autonomous Database Cloud Specialist
7.Skills and Tools
Python, SAS, Netezza, IBM Data Stage, IBM Cognos, Microsoft BI, Pentaho BI, MINITAB, R, Shiny, Power BI, SPSS Modeler, SPSS Statistics, ODK, SQL Server, Oracle 11g, PostgreSQL, Tableau, MySQL, Talend for Big Data, Spago BI, Data Modeling, Data Mining and Analysis, Market Research, Business Analysis, Capital Reserving, Claim Analysis, Cloudera, Hadoop, AWS, Qliksense,MongoDB,Sybase,ROC-RA,Hive,Kafka,Sqoop,Machine Learning,Deep Learning, Artificial intelligence,Robotic process Automation,SQL,PL/SQL.
Experience History
Current employment: ZIMBABWE REVENUE AUTHORTY
Position: Data Analytics & Integrations Manager
Starting Period: January 2020 to Date
Duties
Develops standards, policies and procedures for Data analytics and integrations.
Manages the design, implementation and maintenance of the data warehouse environment and integration platform for the Authority.
Supervises the data analytics and integrations teams.
Implements and monitors integrations with internal and external systems.
Lead the development and delivery of high quality predictive modelling solutions
Creation and development of machine learning pipelines
Design and develop AI models using deep learning, machine learning,supervised learning, unsupervised learning and reinforcement learning
Creation of text analytics models such as chatbots and sentiment analysis using NLP techniques and Machine learning
Design and development of graph networks analytics models
Develop visualisations to make complex analyses accessible to a broader audience
Manage DevOps for deployment of Machine learning models
Facilitates and coordinates information gathering that results in the definition and documentation of business objectives, requirements and processes.
Recommends and improves the Business Intelligence solutions. Recommends and improves the integration solutions based on best practices and business requirements.
Coordinates the identification and assessment of new and emerging solutions, technologies, products and best practices. Reviews and prioritizes enhancement requests, analyses their necessity, and follows through with implementation.
Supervises subordinates in the creation, maintenance and support of all data infrastructure and solutions to ensure fast response times, high availability and disaster recovery.
Provides input in the preparation and monitoring of sectional budgets. Identifies training needs and ensures staff members receive training.
Ensures adherence to the tenets of the Authority’s Performance Management System within the section.
Performs any other duties as assigned by superiors.
Econet Wireless Zimbabwe
Position: Data Scientist
Starting Period: Sept 2018 to January 2020
Duties
Identifies and executes appropriate analytical techniques and data science methodologies and algorithms to provide in-depth analysis of transactional, subscriber and aggregated data including prescriptive and predictive models
Collaborates with the data engineering department to identify data scrubbing and enrichment projects, determine the requirements for these projects, agree solutions and test outcomes
Perform in-depth analysis to identify leading indicators of subscriber behavior (e.g. churn, credit risk, purchases) and develop propensity models to pre-emptively target subscribers
For all approved recommendations, design appropriate testing methodologies to measure the incremental margin impact from interventions
Present findings on testing and final recommendations to business
Scope and provide the data science requirements for the operationalization of the algorithms/data science/analytical projects, including but not limited to the provision of metrics, attributes, logical rules and algorithms
Conduct thorough user acceptance testing on automated solutions including reviewing the algorithms, recommendations made and financial feasibility of the latter
Collaborate within the CADA structure to identify suitable data sources and analytical methodologies for the creation of data products that are monetized externally
On a continuous basis contribute to reviews of best practice in the fields of data science and big data analytics and the implications for departmental policies and procedures
Projects Implemented
Digital identity for Site Access using CNN Algorithms
Customer Life time Value Analytics
Fault Prediction Algorithm
Reports Automation Using Qliksense, Python Dash,Hive and other Visualisation Tools
Chabot for Customer Support
Steward Bank A Subsidiary of Econet Wireless
Position: Data Science Analyst
Starting Period: June 2017-August 2018
Duties
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company`s data with third party sources of information (e.g. social media Platforms, MNOS, Retailers and etc.)
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a cleaner manner
Creating automated anomaly detection systems and constant tracking of its performance
Developing applications for data exploration
Developing tools to rapidly process and analyse data streams to parse several disparate data providers and formats automatically for automated reporting and story identification
Conducting quantitative analysis and research
Building topic models to make sense of and segment large volumes of unstructured data
Building spam classification models to detect irrelevant and fake social media data
Building classification models to flag data relevant to brand attributes and strategy
Building graph models for community and influencer detection
Researching of new algorithms, technologies, papers and developments related to data science
Projects Implemented
Kashagi Nano Loan Product using Data driven Algorithms and Machine Learning
Customer Loyalty Points Project
T24 Customer Balance Mismatch and Correction project
Data Migration Project from old to new Core banking system(Jbase to Oracle Database)
Reports Automation
Batsi Chat Bot using Machine learning Algorithms.
iSave Accounts Migration from T24 to ZSS platform
Twenty Third Century Systems
Position: Business Intelligence Consultant
Period: January 2015 to May 2017
Duties
Market Intelligence and Analytics
Churn analysis and prediction
Pattern recognition and customer segmentation
Data mining
Product Pricing
Developing and designing business intelligences dashboards and reports
Creating and getting sign off for Functional and Technical Specifications.
Calculating KPIs
Designing, building and implementing Data / Data Warehouse Models
Designing, Building and Implementing ETL components, for real time and near real time feeds of data.
Designing, Building and Implementing Reporting and Visualization tools including stream processing
Rural Electrification Agency (REA) Under Twenty Third Century systems.
Position: Business Intelligence Consultant
Period: November 2016 to May 2017
Duties
Gathering of user requirements from Procurement, Credit Control and Finance departments
Developed Extraction, Transformation and Loading (ETL) for Business Intelligence data warehouse (MS SQL Server 2016) with SAP ERP and Oracle Data sources (SAP ERP, Pastel etc.)
Development of Delta loads for efficient ETL into data warehouse
Developed Dashboards for Project systems, Finance Director and Materials Management using Dashboard Designer, Web intelligence, Live office, Lumira and SSRS
Developed Universes using Information Design Tool (IDT)to be used as data sources for Web Intelligence reports
Developed SAP Web Intelligence reports for
Procurement Analysis and Portfolio at Risk Analysis, Debtors Age Analysis, Revenue and Profitability Analysis Reports
Configuring drill down paths in IDT for efficient drilldown functionality in user reports
Backup and disaster recovery of Web Intelligence reports, Business Objects Data Services repository metadata and Batch jobs, CMS configurations and Data Warehouse
Promotion Management of reports, universes, connections and other object from Development environment to Production environment.
TelOne Zimbabwe Under Twenty Third Century systems
Position: Business Intelligence Consultant
Period: January 2016 to October 2016
Duties
Data interpretation and analysis
Predictive modelling
Data cleansing, processing and verification
Financial modelling
Data modelling
Product pricing and development
Creating and getting sign off for Functional and Technical Specifications.
Designing, building and implementing Data / Data Warehouse Models. Including the implementation of Master Data Management. Compliant to international standard modelling techniques.
Designing, Building and Implementing ETL components, for real time and near real time feeds of data.
Designing, Building and Implementing Reporting and Visualization tools including stream processing
Implementing Data warehouse and BI architecture / infrastructure end to end
Other Business Intelligence and Data warehousing Support Projects under Twenty Third Century Systems
Mineral Marketing Cooperation of Zimbabwe(MMCZ):2016-2017
Standard Association of Zimbabwe(SAZ): 2016
Government of Zimabwe,Deeds Office on Data migration project:2016
Previous Employer: Impact Financial Services
Position: Operations Team Leader
Period: January 2014-December 2014
Duties
Collects, organizes, and analyses all data for loan requests.
Recommends loan structure and terms to Loan Officers.
Contacts customers for additional information and clarification of data.
Analyzes borrower's financial position by interpreting and evaluating financial statements, tax returns, and/or projections.
Performs cash flow, trend, and ratio analysis.
Analyzes rent rolls, A/R aging, leases, appraisal, environmental, and/or title reports.
Assigns and maintains the appropriate loan risk grades according to the Bank's Loan Policy.
Ensures that sources of repayment are sound and well documented.
Conducts loan related industry and market research.
Prepares a comprehensive credit memorandums and provides opinions and recommendations regarding proposed loans and potential risks.
Monitors borrowers' financial stability by analyzing financial statements and collateral.
Reviews loan documents for accuracy, completeness, and adherence to credit memorandum covenants and conditions.
Prepares quarterly Loan Review reports for certain credits
Previous Employer: NetOne (Zimbabwe)
Position: Database Administrator-Internship
Period: June 2011-August 2012
Duties
Software installations of Oracle 6i,9i and 11g as well as operating systems like windows and Linux
Creating end user forms and Management to interact with database using Pl Sql and Oracle Reports Builder
Running Ad hoc queries using Sql Plus, Sql Developer
and Toad for Oracle
Providing technical support in registration and activation of simcards
Carrying out Database performance tuning to enhance performance
Providing reports on daily revenues from calls, active and non-active subscribers
Managing user security and managing user accounts
Assisting users in electronic airtime transfers, Sage, VAS
Ensuring that information pertaining to daily key performance indicators are available
Ensuring that System backups are available
Development of accurate, high quality business applications and solutions
Documentation of systems – Technical & User manuals
Implementation and support of existing products
Educational Qualifications
Degree
University
Year
MSc in Data Analytics
Chinhoyi University of Technology
2018
Bachelor of Business Studies and Computing Science
University of Zimbabwe
2013
Certifications and short courses
Technician Certificate in Telecommunication Systems: City and Guilds
2012
Certified Application Associate -SAP Business Objects Web Intelligence 4.1
2016
Certified Amazon Web Services Solution Architect
2018
Big data Analytics, Machine learning and Predictive analytics Bootcamp,June 2018: Deep Analytics
2018
Hadoop Administration Training, November 2018,Subex
2018
ROC-RA and Hadoop Essentials Training, December 2018,Subex
2018
Certified Cloud Engineer(Google Scholarship for Africa)-Current studies
2019
Big Data, Artificial intelligence and Machine Learning Workshop Training(Econet Innoversity)
2019
Certified Oracle Autonomous Database Cloud specialist
2020
References
Mr H.Mazhokota Mr G. Chinowaita
Data Science Engineer Team Leader:Business Intelligence
*****.*********@***********.**.** ***********@**********.***
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