Accreditation Administrator

• Jan 2023 - Present

SETA Administrator

• Jan 2022 - Dec 2022

- SETA registrationQA all student docs for SETA registrationCapture learners on SETA systemUpload learner PoE’s to SETA systemMaintain active student list- Manage SETA mailboxSend and receive SETA related student communicationAttend to SETA queries- POE Coursework compilationVerify ATHENA’s coursework configurationVerify Students’ coursework is completeAs needed: Collect, collate, generate and transform coursework evidence not generated by ATHENA- POE Documents compilationGenerate, from templates and data sheets, word and pdf documents required to complete portfoliosVerify captured dataManage the filesystems Show less

Portfolio and Terminal Sales, Commercial

• Mar 2020 - Feb 2021

- Attended ranging sessions with suppliers. Learning which new products they want to launch - Sample Management and Testing - Capturing data of samples received - New Product Codes Creation - Loading products on Supply Chain Management (SCM) - Product and Price Analysis - Prepared Family Inventory Grouping - Prepared Templates for Siebel - Attended to customers requests regarding the product specifications using DMP - Attended ranging sessions with suppliers. Learning which new products they want to launch - Sample Management and Testing - Capturing data of samples received - New Product Codes Creation - Loading products on Supply Chain Management (SCM) - Product and Price Analysis - Prepared Family Inventory Grouping - Prepared Templates for Siebel - Attended to customers requests regarding the product specifications using DMP

Data Science Intern

• Sep 2019 - Dec 2019

The project aims to develop an Automated Essay Scoring System by use of Machine Learning Techniques. The project was conducted with Python. The project aims to develop an Automated Essay Scoring System by use of Machine Learning Techniques. The project was conducted with Python.

Data Science Intern

• Jan 2019 - Sep 2019

Took part in Machine Learning projects : Targeting loans to the right customers by building the best algorithms to predict who will take out a loan.Secondly, building the best algorithms to predict loan amount for those who take out a loan. The project was conducted using Python. Took part in Hackathons: Building a Regression Model to predict the house price from exploratory features. The project was conducted using Python. Took part in Machine Learning projects : Targeting loans to the right customers by building the best algorithms to predict who will take out a loan.Secondly, building the best algorithms to predict loan amount for those who take out a loan. The project was conducted using Python. Took part in Hackathons: Building a Regression Model to predict the house price from exploratory features. The project was conducted using Python.