I'm a passionate Data & Business Analytics enthusiast with a strong foundation in Data Science, Machine Learning, and UI/UX Design. I enjoy uncovering meaningful insights from complex datasets and turning them into actionable strategies and intuitive digital experiences. My journey involves a blend of analytical problem-solving and user-centered design, focused on making data both impactful and accessible.

🔹 Performed Exploratory Data Analysis (EDA) on Indian flight data to uncover pricing trends and airline performance.
🔹 Developed predictive models using Python to estimate airfares based on duration, stops, and departure timing.
🔹 Visualized seasonal fluctuations and booking patterns to provide cost-optimization insights for travelers.

🔹 Investigated key factors leading to customer attrition through detailed Exploratory Data Analysis.
🔹 Used Pandas and Seaborn to visualize correlations between service usage, contract types, and churn rates.
🔹 Provided actionable insights and early-warning signs to help businesses improve retention strategies.

🔹 Developed a risk assessment tool focused on identifying potential credit defaults and financial irregularities.
🔹 Implemented Machine Learning algorithms to classify high-risk profiles based on historical financial data.
🔹 Streamlined the data preprocessing phase to ensure high model accuracy and reliable decision support for lenders.

🔹 Conducted a comprehensive study of e-commerce transactions to identify top-performing products and regional sales trends.
🔹 Performed customer segmentation analysis to help tailor marketing efforts toward high-value demographics.
🔹 Built visual reports to track monthly growth, revenue streams, and order fulfillment efficiency.

🔹 Analyzed marketing funnel data to track the customer journey from lead generation to final sales conversion.
🔹 Identified bottlenecks in the conversion process using SQL and Python to improve ROI.
🔹 Created data-driven recommendations to optimize marketing spend and enhance customer acquisition strategies.

🔹 Developed a system to scrape, store, and manage structured quote data for content analysis.
🔹 Utilized Python libraries to process text data and organize it into a searchable, user-friendly format.
🔹 Focused on data integrity and efficient retrieval for use in creative or analytical applications.

🔹 Designed an interactive dashboard to analyze Amazon Prime’s content library, focusing on genre distribution and ratings.
🔹 Visualized viewership trends and global content availability using Power BI/Tableau.
🔹 Provided data-driven insights into content strategy and audience preferences for streaming services.

🔹 Built a comprehensive visual report exploring Netflix's movies and TV shows dataset.
🔹 Tracked the growth of content over time and identified top-performing directors and countries.
🔹 Optimized data layouts to showcase key metrics like release years and maturity ratings at a glance.

🔹 Created a dynamic sales performance tracker to monitor revenue, profit margins, and sales targets.
🔹 Focused on regional performance and product category analysis to identify growth opportunities.
🔹 Utilized advanced filtering and drill-down features to allow for granular data exploration.

🔹 Designed a clean, intuitive weather application interface focusing on real-time atmospheric updates and forecasts.
🔹 Created high-fidelity prototypes in Figma with a focus on data visualization and ease of use.
🔹 Applied modern UI principles to ensure a seamless experience across different device screens.

🔹 Designed a high-fidelity fitness application focused on personalized workout tracking and health monitoring.
🔹 Developed intuitive user flows and wireframes in Figma to enhance user engagement and retention.
🔹 Applied modern UI principles to create a seamless, motivating experience for health-conscious users.

🔹 Engineered the UI/UX for a food delivery platform, streamlining the process from discovery to checkout.
🔹 Focused on mobile-first design, ensuring a responsive and accessible interface for diverse users.
🔹 Prototyped interactive elements to simulate a real-world ordering experience.