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Data analytics professional with 1 year of experience applying analytical techniques to extract impactful insights from complex data. Skilled at collecting, cleaning, and analyzing large datasets using SQL, Python, and statistical methods. Key skills include: Data cleaning and manipulation with SQL and Pandas Exploratory data analysis and visualization using Matplotlib and Seaborn Statistical analysis - regression, significance testing Introductory machine learning techniques such as random forests and clustering Passionate about structured thinking and leveraging data to solve problems. Excels at breaking down complex questions and communicating data-driven findings to both technical and non-technical stakeholders. Previously worked as a Product and Data Analyst at Capital Pilot - compiled reports, prepared KPI reports, built out processes and pipelines for enhanced data scraping and optimisation, alongside performing various queries on existing data warehouses using SQL. Actively expanding Python skills and machine learning knowledge through online courses and Kaggle competitions. Eager to tackle new challenges refining predictive modeling and using analytics to drive business growth. Looking to join a collaborative team of analytical thinkers striving to innovate. Let's connect!
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