Olajoke Elizabeth Oladipo-, -, LinkedIn, GitHub
EDUCATION AND QUALIFICATION
2/2018 – 4/2022
M.Sc. Information Systems, University of Zurich, Zurich Switzerland
Relevant Courses: Big Data Analytics, Prototyping Data Science Products, Digital
Transformation, Requirement Engineering
9/2009 – 6/2014
B.Sc. Management and Information System (M.I.S), Covenant University, Ogun State, Nigeria
Relevant Courses: Computer Programming, Software Engineering, Database Systems,
Marketing
WORK EXPERIENCE
8/2021 – 4/2022
●
Internship – Impact Data Support Analyst
SEIF, Zurich, Switzerland
Assisted in setting up SEIF's database architecture and data infrastructure management. Fast-tracked a
method to feed data directly into Salesforce thereby avoiding any loss of vital data compared to the
company’s previous, manual way of obtaining data
●
Actively contributed to the development of SEIF's impact data toolkit including the web interfaces for Get
your Impact (GYI), the SEIF Portal and SEIF Entrant Portal (SEP) using TitanWeb. GYI is a self-assessment
tool for start-ups to assess their impact. The web app directly feeds their data into the company’s database.
The SEP caters for the application to the SEIF Tech for Impact Awards, for which more than 300 impact
entrepreneurs apply annually. The SEIF Portal serves internal staff to perform a variety of activities, including
expert assessments of start-ups (environmental and social impact)
●
Independently performed ETL (extract, transform, and load) data tasks with R programming language.
Extracted the old excel data, cleansed, transformed, and uploaded it to the company’s database
●
Provided technical support to both internal and external customers concerning our web-based platforms
5/2015 – 9/2017
Training Instructor and Product Designer
Digupworld E-Centre, Ibadan, Nigeria
●
Designed a course and trained an average of 15 beginners every four months on computer management
●
Collaborated with the product design unit to create add-on services for telecommunication companies
PROJECTS
●
Understanding user reviews of mobile applications using BERT - A Master Thesis (source code on GitHub).
The project designed Natural Processing Language and Deep Learning algorithms to extract useful
information from reviews (textual feedback) from users of mobile applications
●
The Sleepy App - A Master Project Module (demo)
An exploratory and predictive analytic tool developed application (app) to deploy and customise the machine
learning (ML) models from a study (Sleep and Wake Classification using data from smart bands)
●
Churn Risk Assessment Application (CRAA, source code on GitHub)
The project established a scenario to enhance bank employees of an important bank to understand and
predict which customers in their portfolio are going to leave the bank’s service
SKILLS AND COMPETENCIES
●
Effective coding and scripting skills with R and
Rshiny package for web application
●
Good coding and scripting skills with Python
for analysis and machine learning modelling
●
Good knowledge of the Salesforce CRM
platform, its query language, Salesforce Object
Query Language (SOQL) and TitanWeb
●
Intermediate knowledge in Robotic Process
Automation (UI path RPA) for task automation
and data extraction
●
Skilled in Microsoft PowerBI and Google Data
Studio for data visualization
PROFESSIONAL TRAINING AND CERTIFICATION
●
Data Science and Machine Learning with R
●
Complete Data Scraping Course
●
NLP – National Language Processing with Python
●
Introduction to Relational Databases SQL
Udemy - 11/ 2020
Datacamp - 9/2020
Udemy - 3/2020
Datacamp - 10/2020
LANGUAGES
●
Yoruba: Mother Tongue
●
English Language: Fluent
●
German: Basic
