Bollu Jai Prakash Reddy

Tableau Desktop Specialist | Tableau | 07/20/24

Web Developer Intern, Infochord Technologies | India | 07/01/21 - 12/31/22, 

• Developed and maintained front-end and back-end components using HTML, CSS, JavaScript, and PHP, enhancing website functionality and user experience.
• Identified and resolved bugs, errors, and compatibility issues, improving website performance and stability., Created structured documentation, streamlining information retrieval and knowledge sharing for future development.
• Collaborated with senior developers team of 4 and designers to develop and maintain responsive websites and web applications, ensuring optimal performance and usability.

Boston Housing Price Prediction

• Developed a Python-based machine learning model to predict housing prices using the Boston Housing dataset.
• Conducted data cleaning, exploratory data analysis (EDA), and feature engineering to enhance model performance.
• Implemented linear regression and random forest algorithms for price prediction, achieving an accuracy of 75-80%.
• Used Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for data processing, visualization, and model training.

Amazon Product Analysis Dashboard, Tableau Desktop:

• Connected to the Amazon product dataset directly in Tableau, enabling seamless data analysis and visualization.
• Cleaned and formatted the dataset to ensure accurate visual representation, including handling missing values and categorizing products based on attributes such as price range and star ratings.
• Created various visualizations including bar charts, line graphs, and heatmaps., Combined multiple visualizations into a cohesive dashboard, providing a comprehensive overview of Amazon product performance.

Automatic street light control by detecting vehicle movement:

• Designed and implemented the system architecture, including sensor placement, microcontroller selection, and circuit design.
• Programmed the microcontroller Arduino to interface with the sensors and control the streetlights based on vehicle movement.
• Collaborated with team members to optimize system performance, address technical challenges, and incorporate feedback from Higher authorities of the Osmania University.

Hackathon Participant, JNTUH University

• Participated in a 24-hour IT hackathon organized by JNTUH University, acted as a team member of team 3, and worked to develop a digital solution that could address education equality and opportunities for everyone.