Actively seeking roles that leverage my diverse background as a qualified Industrial Engineer. With experience in Data Science and Business Intelligence, I specialize in building data landscapes and automating reporting tools. My postgraduate PM qualification, ongoing Data Science studies, and commitment to learning show my dynamic skill set; I aim to contribute by combining expertise.
MLLooking for a job
Motselisi Leketa
@motselisileketa
A highly numerate and team-oriented South African analyst, with proven competence in data analytics.
South AfricaWhat I'm looking for
I am a qualified Industrial Engineer with a diverse professional background. My experience includes roles as a Data Science Intern, Data Management Specialist, and Business Intelligence Analyst in the telecommunications sector. With a postgraduate qualification in project management, I transitioned to become a Business Intelligence Reporting & Insights Analyst in a supply chain organization. Currently, I am pursuing a postgraduate diploma in Data Science, aiming to deepen my expertise in data analytics. My journey reflects a proactive approach to skill acquisition and an ability to navigate various domains within the intersection of engineering, project management, and data science.
Experience
CHCurrent
Owned key stakeholder relationships, serving as the BIRA SME. I translated intricate business requirements into user-friendly BI products supporting strategies. Transforming complex data from multiple sources, I drove data-driven decision-making. Designed and deployed advanced ETL solutions, extracting, transforming, and loading data into the AWS RDS warehouse.
TE-Built & maintained data landscape, updated Business Glossary, & implemented management tool for data collection & dashboards.
- Analyzed data from Oracle, SAP, Google Cloud Platform, SQL Server, supporting operational processes, and providing BI solutions (ad hoc requests, monthly reports, Data Quality reports, visualizations).
TEDeveloped and automated a range of reporting tools with user-friendly interfaces, allowing teams to create custom reports from dashboard data sets based on their specific needs. The approach involves using descriptive analysis to ensure that data is clear and concise before presenting it to stakeholders, facilitating better business decisions.
EA- Solved real-world problems by building regression, classification, and unsupervised learning algorithms in Python.
- Data exploration, insight building, and improving and communicating models
from a raw and unstructured dataset through the Cape Town Water Crisis,
Classification Product Pitch, and Johannesburg Traffic projects.
TEParticipated in a Cost Analysis project, which entailed analyzing data on network
costs, main cost contributors, cost management, and cost reduction to assess the
viability of a project within the 3nance group.
WA- Studied and worked on the production and anodizing of aluminum pro3les to develop techniques for optimizing both processes, implement quality control procedures to prevent production line issues, and adhere to safe work practices in the workplace.
- Responsibilities ranged from problem-solving to equipment troubleshooting
to enhancing production system operations and studying the organization.
Tech stack
Learn about the tools and technologies that Motselisi likes to use.
Availability
Looking for a job
Location
South AfricaAuthorized to work in
Social media
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