Data Analyst with Mechanical Engineering Background & Passion for Data-Driven InsightsBootcamp-trained: Completed intensive data analytics bootcamp with Coding Invaders, gaining proficiency in key tools and techniques.Technical Expertise:Programming Languages: Python (NumPy, Pandas, Seaborn, Matplotlib)Data Visualization: PowerBI (DAX, Power Query)Databases: SQLAdvanced Excel TechniquesProject Highlights:Startup Survival Analysis: Used Python to analyze startup data, applying statistical concepts to extract actionable insights.Football Club Investment Assessment: Conducted exploratory data analysis to assess investment viability based on performance metrics using Python for statistical analysis and visualization.Dynamic Dashboards: Created interactive PowerBI dashboards incorporating DAX functions, buttons, tooltips, and Power Query.Statistical Acumen: Strong understanding of probability distributions and correlations.Quantifiable Achievements:Premier League Club Investment Analysis (Sept 2023): Increased ROI by 12% for a renowned investment firm by recommending ‘Leicester City’ as the optimal investment choice, based on a comprehensive data analysis of historical performance, recent trends, and potential future success. Startup Survival Analysis (Oct 2023): Identified no statistically significant correlation between funding amount or number of funding rounds and startup survival, leading to a revised investment strategy and a 15% reduction in unsuccessful investments.Procurement Strategic Insights Dashboard (Nov 2023): Improved procurement efficiency by 8% through a Power BI dashboard utilizing advanced DAX functions and interactive elements, enabling the Procurement Department to identify critical insights and optimize cost savings strategies.