Data Analyst

Home

People

Data Analyst

ID : 1110

Education level : Bachelor's degree

Work experience level : Associate- (1-2 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-12

I am a data analyst who has a background in supply chain management. I am fluent in a wide variety of software and data management systems ranging from traditional options like Excel and Minitab to programming languages like python and Julia. I am an individual who is extremely keen to work in challenging environments by tackling problems with data driven solutions.

Management Information System Executive - Diesel & Motor Engineering PLC - (October 2021 - Present)

Managing end to end data related requirements of the planning function.
Developing and maintaining dashboards to monitor the deliverables of the S&OP process.
Obtaining reports of different cuts, maintaining data hygiene.

Research and development (supply chain) Intern - Hayleys Advantis Limited - (June 2019 - December 2019)

Involved in the project as a team member sustainable solution for the Logistics International Limited (LIL) using IOT to efficiently track TEUs’.
Documentation of the LIL Project solution.
Part of the team member in Robotic process automation project for a shared service owned by Hayleys Advantis.
Received training for Automation Anywhere (RPA tool).
Task bot development using Automation Anywhere.
IQ bot training to capture data from the Airway bills.
Preparation of training document for Automation Anywhere tasks.

Automation Anywhere
MS office
R
SPSS
MySQL
Power BI
Python
Pandas
Scikit-learn
plotly
karas
matplotlib
seaborn
streamlet

A Data Analyst in supply chain management background who is fluent in a wide variety of software and data management systems ranging from traditional options like Excel and Minitab to programming languages like python and Julia.

Julia for Data Science (07/2021)
AWS Fundamental course (05/2020)
Deep Learning A-Z™: Hands-On Artificial Neural Networks (03/2020)
Internet of Things course (IoTsp) (01/2020)
Machine Learning and Statistical Analysis (12/2019)
Scientific Computing and Python for Data Science (09/2019)
Preliminary Certificate in Marketing (PCM) (2018)