abiflynn / supervised_machine_learning Goto Github PK

I'm Abigail!

• I am a self-driven, highly motivated and accomplished analyst/ merchandiser with 4 years of work experience in data analysis and visualisations using Advanced Excel, basic SQL, and Power BI. Through this I have enhanced my numerical and analytical skills and developed strong communication, teamwork, and management skills. Working as a Project Analyst I have led multiple projects across various areas within Next including finance, marketing and supply chain to invent new processes and implement them effectively. Through this role, I gained invaluable skills in stakeholder management, leadership, and presentation.

• Being passionate about using data analysis to influence business decisions and drive growth and profitability. To further develop my skills in this area, I recently completed the Data Science Bootcamp at the WBS Coding School. Through this program, I gained a comprehensive understanding of the data science field and developed a range of technical skills, including using Advanced SQL and Python, Machine Learning, Cloud Computing, Tableau, and A/B Testing.

• BeautyBOT: Beauty Recommender System in a Streamlit App
• Movie Recommender System
• Supervised Machine Learning: Predicting Housing Prices
• Unsupervised Machine Learning: Creating Playlists
• Data Engineering: Predict e-Scooter Movement
• A/B Testing: Library Website Homepage
• Advanced SQL: Data Analysis Using SQL
• Data Analysis(Python): Is it Beneficial to Discount Products?
• Data Analysis(SQL): Should Eniac Sign the 3-Year Contract to Expand into the Brazilian Market
• Introduction to Pandas

• SQL | Query and Data Modelling
• Python | Pandas, NumPy, Matplotlib, Seaborn, Plotly, Streamlit
• Machine Learning | Scikit-Learn
• Data Engineering | Web Scraping, API Pipelines, AWS Cloud Computing
• Data VisualiSation | Tableau, Power BI
• Machine Learning | Scikit-Learn
• A/B Testing | Hypothesis Tests
• Recommender Systems
• Microsoft | Excel, Word, Powerpoint