In my role as the first data analyst for HR data at Tripledot Studios, I:• Owned and built the ETL data pipeline to transform and house HR data, and maintained and optimised this throughout evolving data requirements• Furthered my Python programming expertise, including working with APIs to extract employee andhiring data from external HR systems, and utilising modular programming to ensure scalability,maintainability and ability to account for additional API calls and extensive… Show more In my role as the first data analyst for HR data at Tripledot Studios, I:• Owned and built the ETL data pipeline to transform and house HR data, and maintained and optimised this throughout evolving data requirements• Furthered my Python programming expertise, including working with APIs to extract employee andhiring data from external HR systems, and utilising modular programming to ensure scalability,maintainability and ability to account for additional API calls and extensive data transformations• Used advanced SQL query skills to join and transform multiple data sets, to investigate and debug anydata discrepancies with the HR systems, and to aggregate data for reporting and analysis• Used Git for version control, and ensured code updates were always reviewed by my peers to ensure I’m following best practises and improve my programming• Developed leadership skills through owning HR analytics, working with agility and creativity to provide timely solutions to urgent, business critical requests• Developed my communication skills through partnering with non-technical HR stakeholders and technical contacts for our HR systems. I translated stakeholder requests into actionable data solutions, and self-organised to prioritise requests from multiple stakeholder groups to meet all key business deadlines• Developed automated, quarterly insight data packs for executive leadership, in theprocess further developing my data storytelling and visualisation skills through finding the most effectiveways to display key HR metrics• Built out HR analytics dashboards, showing resilience and creativity through creating work arounds to overcome platform limitations Show less

In my close to 4 year tenure at Unilever, I:• Applied machine learning and statistical modelling techniques including regressions, neural networks,principal component analysis, clustering and topic modelling to solve a variety of HR business problems• Gained experience developing ETL pipelines, and using virtual machines within Azure to fully automate these pipelines and have them run via scheduling• Developed my data wrangling and engineering skills through using API calls… Show more In my close to 4 year tenure at Unilever, I:• Applied machine learning and statistical modelling techniques including regressions, neural networks,principal component analysis, clustering and topic modelling to solve a variety of HR business problems• Gained experience developing ETL pipelines, and using virtual machines within Azure to fully automate these pipelines and have them run via scheduling• Developed my data wrangling and engineering skills through using API calls, Python libraries, webscraping and SQL to retrieve and transform data• Frequently used Git for version control on a variety of collaborative projects• Developed a strong understanding of SQL through managing and working with the organisation’semployee database. My responsibilities involved writing SQL procedures to alter tables, advancedquerying featuring complex joins and handling of ‘messy data’, using Python libraries to read and writefrom SQL, and using schemas to protect sensitive data•Developed advanced Excel skills through generating reports and data storage solutions for stakeholders, often requiring extensive data transformations• Created and presented insights to a wide variety of audiences ranging from data science peers to senior HR leaders. I have developed strong communication skills and understand how tocommunicate technical material to non-technical audiences• Used agile methodologies within intensive ‘sprints’ with the wider analytics team, with the aim ofthoroughly investigating a HR business problem with statistical methods and presenting the findings toleadership to drive company-wide action• Built, maintained, automated and owned multiple PowerBI dashboards which were widely used across the business• Developed strong visualisation skills and an understanding of how to create a variety of effectivevisualisations with Python using the Matplotlib, Seaborn and Plotly libraries, as well with Excel andPowerBI Show less