Chimone Naude Email & Phone Number

South Africa

Cape Town, Western Cape, South Africa

Work story:I joined Luno, a Cryprocurrency platform, to provide product-orientated and customer-orientated data science solutions with the goal of understanding how we can best partner with our customers in their Crypto journey. The datasets I work on include financial data and events data._____________________________________ My day-to-day work included:- Doing data preparation, feature engineering and building analytical models in Databricks notebooks.- Customer Segmentation.- A/B testing and Events Analytics for new experimental developments to the app and website on Amplitude.- Building Looker artefacts, like Explores, Views and Dashboards that give business users a clear and concise interpretation of the data._____________________________________Tech Stack:- Version Control and Agile tools (GitLab & Jira)- Databricks (Languages: SQL, Python, R)- Looker (coding in LookML)- Amplitude (A/B testing experiments, conversion funnels, segment analysis, etc.)

City Of Johannesburg, Gauteng, South Africa

Work story:I joined this consulting company to provide data science solutions to local and international banks to unlock the potential in their data. The datasets were primarily actuarial and credit data._____________________________________ My day-to-day work included:- Doing data preparation and feature engineering in SAS for clustering ML model.- Rewriting Excel actuarial models in R-language coupled with a Python Streamlit frontend to run at a fraction of the time and with accuracy in the results.- Building data recons in R.- Using PowerBI & SnowFlake SQL to build IFRS9 actuarial model monitoring views and visualisations to detect patterns in the data and to pick up on possible errors._____________________________________Tech Stack:- GitLab- Jupiter Notebooks (R & Python)- SAS- PowerBI

Centurion, Gauteng, South Africa

Work Story:Being in a team of two, I took the opportunity to revolutionise the Excel spreadsheets emails imported to OnPrem tables to be automated in the cloud. Now the business has Azure Cloud Computing detecting mails automatically, writing the attachments into Azure Blob Storage, processing the document with Azure Data Factory (ADF) into 3rd normal form (data modelling) in the Azure SQL data warehouse with history and change tracking. This happens without any manual intervention, which shifted the team’s focus from 100% manual processing to 30% manual exception handling and maintenance, with the other 70% of time to focus on value-add activities such as analytics and change-management for the analytics users. ____________________________________Here are some tasks I was involved in:- Partnering with Azure Data Engineers to implement end-to-end Azure cloud solutions to lift-and-shift the business and leverage from automation and tech capabilities.- Automating the data collection process with Python and Azure.- Increasing data processing to enhance the data view from 6 months history to all history.- Implementing an agile SQL Data Warehouse to be queried faster and data matching between data sets to discover hidden patterns and connections.- Enhance data quality with SQL data quality objects using business standards.- Redesigning our reports for better User Experience (UX).- Basic ML and Statistical analysis for customer buying patterns.____________________________________Tech Stack:- Azure Cloud Computing- SSMS (SQL)- PowerBI

Work Story:I began my career as a Microsoft Dynamics 365 software implementation consultant. However, during a collaborative project with the Data team, I discovered my passion for working with data, leading me to transition to the data department. I've had the opportunity to be part of 3 end-to-end data warehouse and analytics projects. These projects were retail and financial orientated.____________________________________Technical skills I developed in this role includes:- SQL Data Warehouse Management & Querying- Writing Data Mart objects- Data Modeling- Developing PowerBI Analytics and Visualizations for Dynamics 365 and Sage data sources- Some exposure to ETL- Project requirements planning- User Acceptance Testing (UAT)- Go-live and hand holding- Vaultspeed data modelling and ETL tool____________________________________Tech Stack:- SSMS (SQL)- PowerBI- Azure Cloud Computing

Pretoria, Gauteng, South Africa

Company: SSG Consulting (Project Management Office) Focus: Business Intelligence (BI) for Projects______________________________________Company: Zwartkop High SchoolFocus: Project Management ______________________________________Company: Subaru Focus: Operations & Supply Chain ______________________________________Company: King Price InsuranceFocus: Marketing & PR

Postgraduate Diploma In Industrial Engineering With A Major In Data Science, Data Science

Topics covered in this degree: Programming in R Data Science Applied Machine Learning Optimisation Industrial Engineering Data Analytics.

Bachelor Of Science - Bs, Applied Mathematics And Computer Science

[Incomplete] I decided to pursue post-graduate studies and left my academic program after finishing the third year of Computer Science.

Bachelor Of Commerce (Bcom), Business, Management, Marketing, And Related Support Services

Activities and Societies: I was honored with the eNews Elite Scholarship, which included 12 internships 👩🏻‍💻, an international business.