A highly motivated M.Sc. Data Science professional with a plethora of technical and programming skills primarily in Python, eager to improve and apply these skills to any scenario; with experience in machine learning alg…
A highly motivated M.Sc. Data Science professional with a plethora of technical and programming skills primarily in Python, eager to improve and apply these skills to any scenario; with experience in machine learning algorithms and ETL implementations, furthered by software testing methodologies. With skills developed in a Data Science role within the office for national statistics working as a data scientist in the emerging platforms team.
Lead developer Creating survey pipeline from For Financial Assets and Liabilities Survey
My Role: Lead Developer
My strengths: Various data science techniques, data editing, aggregation and validation, teamwork, agile
methodologies, stakeholder management, ticket generation, code testing and team leading including change
management, people skills, leadership skills, risk management, proof of concept, requirements gathering.
Working on every aspect of the pipeline generation from planning to risk mitigation as well as maintenance.
Web scraping for data on Google Cloud Platform
My Role: Developer
My strengths: change management, people skills, leadership skills, risk management, having a big-picture
view of entire project as well as the ability to break it down into tasks which I delegated team members to
complete.
image recognition, natural language processing, cloud technologies Web scraping for data to be manipulated
and stored after validation and editing.
Machine learning dissertation making use of Active learning
Developed and used adaptive query with a support vector machine to reduce the amount of required labels
while increasing accuracy from 60% to 85%, decreasing costs and increasing efficiency.
Implemented a data pipeline for a business survey from scratch to digest, clean, validate and impute various data sources.
Used Agile techniques with daily scrums and version control (GitHub) to streamline workflow management and code maintenance.
Reduced the user’s workload and increased ability to analyse larger datasets.
Led presentations and meetings to stakeholders to collaborate and progress towards a well-defined goal.
Built and tested a data pipeline using Google Cloud platforms, Googles Document AI and BigQuery.
Scraped data, retrieved important information using various data science techniques, utilized virtual machines and stored data in the cloud for future projects.
Led to 80% more data to work with analyse with visualization and potential Machine Learning use cases.
Teamwork.
Working to a deadline.
Stock management.
Working under pressure.
Teamwork.
Public speaking.
People skills.
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