SHUBHAM PATHAK

Enhanced model accuracy by 15% & minimized data error rates through conducting data preprocessing, cleaning, & wrangling using Python, SQL. Utilized Matplotlib, Seaborn, & NumPy for impactful data visualization, resulting in a 20% increase in insight generation. Analyzed trends in big data sets using Python & R to apply supervised & unsupervised learning techniques. Developed predictive models in Python using machine learning algorithms to reduce customer churn by 20%. Accelerated decision-making process by 20% through the development of effective presentations & visualizations to simplify complex Machine Learning algorithms for non-technical stakeholders.

Optimized data-driven decision-making processes, increasing efficiency by 20%, leveraging Python & SQL for data cleaning, transformation. Applied Python, & Excel for regression analysis & hypothesis testing, leveraging probability theory to drive data-informed decisions. Performed data cleaning & preprocessing, increasing efficiency by 30% & proficient in SQL (SQL Server) & SQLite databases. Improved error reduction by 30% through the application of machine learning algorithms, including decision trees, random forests, & neural networks in the finance & retail sectors. Communicated data insights using Power BI, Excel, & Python, prioritizing data ethics & privacy with a focus on secure data transfer.