Santhosh Papudesi

Highly motivated and detail-oriented candidate passionate about leveraging data to drive business performance and enhance customer experience. Strong technical aptitude and knowledge of programming languages, data analytics, and data visualization. Excels at utilizing data to develop actionable solutions for business challenges. Expertise in data mining and data visualization uncovers meaningful insights that drive informed decision-making.

• 3D Animation Projects: Created engaging 3D animations for various projects, demonstrating proficiency in software such as Autodesk Maya or Blender.
• Artistic Pursuits: Contributed to university art shows, combining creativity with teamwork and organizational skills.

• Stock Market Trend Prediction, In my stock price prediction project, I developed a model to forecast stock price movements using a moving average crossover strategy. I collected and cleaned historical stock price data, engineered features, and implemented a predictive model using Python and scikit-learn. SQL was employed for efficient data management, while Matplotlib and Seaborn were utilized to create visualizations that aided in interpreting the results and presenting actionable insights.

• E-Commerce (EDA), Conducted an exploratory data analysis on a large e-commerce dataset using Python (Pandas, NumPy). Cleaned and preprocessed data to handle missing values and outliers. Utilized Matplotlib and Seaborn for visualizing sales trends, customer segmentation, and product performance. Generated actionable insights to enhance customer retention and marketing strategies.