Bhoomika S B Email and Phone Number

1. Data Collection and Preparation: Gather data from multiple sources, use Python for data extraction, and ensure datasets are clean and well-organized for analysis.2. Exploratory Data Analysis (EDA): Conduct EDA using Pandas, Matplotlib, and Seaborn to uncover trends, patterns, and outliers in data.3. Data Visualization: Create clear, insightful visualizations to communicate findings, often using interactive tools like Plotly or Streamlit.4. Statistical Analysis: Apply statistical methods (e.g., hypothesis testing, correlation analysis) to support data-driven insights.5. Documentation and Reporting: Document processes, findings, and code for transparency, sharing results in presentations or reports.

Major Duties1. Front-End Development: Build responsive user interfaces with HTML, CSS, and JavaScript, focusing on user-friendly design and functionality.2. Back-End Integration: Connect front-end components to backend services, utilizing APIs to fetch and display dynamic data.3. Code Debugging and Testing: Identify and fix issues across different browsers and devices to ensure compatibility and functionality.4. Project Documentation: Document code structure, APIs used, and development processes to maintain transparency and help future team members.Success Highlights and Projects: To-Do List App: Developed a to-do list app using JavaScript and local storage to save tasks, enabling users to add, edit, delete, and categorize tasks. Implemented a responsive design that adapts to mobile and desktop screens, enhancing usability across devices.Weather Forecasting App: Created a weather app using JavaScript and an external API to provide real-time weather updates based on location. Enhanced the app with a clean, intuitive UI that displays data like temperature, humidity, and forecast details, improving user engagement and app usability.

Analyzed large datasets to extract actionable insights, improving decision-making for key business strategies.Utilized data visualization tools (e.g., Tableau, Power BI) to present findings in clear, accessible formats for non-technical stakeholders.Developed and optimized predictive models using machine learning algorithms to forecast business trends. Delivered a predictive model that increased forecast accuracy by 15%, enabling more effective resource allocation.Successfully identified critical market trends, resulting in a 10% increase in targeted customer acquisition efforts.Contributed to a major project that reduced operational costs by 8% through data-driven process improvements.