Lawrence Tinago
Junior Data Scientist
Business Process Improvement
(6 years)
Well-qualified Data Scientist and Business Analytics professional experienced working with data sets to address business problems. Skilled in Business Case formulation, custom data gathering, data wrangling, exploratory analysis, visualization, model building and deployment. Offering 6 years of experience in improving business operations. Results-driven professional with good technical skills, firm grasp of business needs and understanding of user requirements gathering. Assesses risks, troubleshoots problems and conducts tests. Excellent communication and planning abilities.
Contact
Address
Johannesburg, ZA-GT, 2188
Phone
-
E-mail -LinkedIn
https://www.linkedin.com/in/improve-it
WWW
https://github.com/lawrence-tin
Skills
Project Management
End-to-end Data Science Projects
Business Intelligence
Machine learning
Data Mining
Systems Engineering
Python (Numpy, Pandas, Scikitlearn)
SQL (Database Development, Data Querying)
Process Engineering
Work History
2020-11 - Current
Data Scientist
Freelancing, Johannesburg, Gauteng
1. Machine Learning project
Clustered the city of Johannesburg for investment decision making
US Accidents Science Project >1.5 million records
2. Computer Vision
Built smart security camera for movement detection
Built a computer vision to take automatic selfies
3. Data Analysis project
Cleansing and Exploring Dataset of 1.5 million records
2017-01 – 2021-08
Process Engineer (Operations Analytics)
Directech RSA (Pty) Ltd, Johannesburg, Gauteng
Developed documentation, including diagrams and specifications, to meet project requirements and regulatory standards.
Reviewed processes, identifying areas that required improvement.
Developed Data gathering processes
Developed Quality Control procedures
2014-01 - 2016-09
Continuous Improvement Coordinator
Olivine Industries (Pty) Ltd, Harare , Zimbabwe
Developed Continuous Improvement/Lean production training programs for onsite implementation.
Drove implementation of formal Six Sigma program resulting in 15% reduction of process and product variations.
Changed existing processes and implemented new processes to improve efficiency.
Education
2021-08 – Current
2019-current
BSc Data Science
University of London
Project Management Professional (PMP)
2020-01 - 2020-12
Data Science Professional
IBM - Canada
2020-01 - 2020-12
Machine Learning (Specialization)
Stanford - USA
2019-08 - 2020-06
Data Analyst Professional
IBM - Canada
2019-07 - 2020-04
Statistics with Python (Specialization)
University Of Michigan - USA
2019-07 - 2020-03
Business Analytics (Specialization)
Wharton Business School - USA
2016-01 - 2018-06
-
Certified Lean Six Sigma Green Belt
IASSC – Greece
Big Data Analysis with SQL
Cloudera
