Bridging Data and Development | Data Science & Java Full Stack
Aspiring data scientist with a strong foundation in data analysis, statistical modeling, and machine learning. Passionate about leveraging data-driven insights to solve complex problems and support strategic decision making. Also skilled in Java full-stack development, including building end-to-end web applications using technologies like Java, Spring Boot, and React. Seeking to contribute to innovative projects that blend data science and software development, while continuously expanding my expertise in analytics, web development, and data visualization.
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Developed an interactive data visualization analyzing exchange rate trends from 1999 to 2020 using Pandas and NumPy for data processing. Applied time-series analysis and statistical methods to uncover key insights, visualizing currency fluctuations with Matplotlib and Seaborn. Focused on intuitive data storytelling to enhance user experience with interactive visualizations presenting complex financial data clearly.
Project LinkPerformed exploratory data analysis on highway traffic volume near Minneapolis–St. Paul, focusing on time-based
and weather-related patterns.
Identified key factors influencing heavy traffic: rush hours, weekdays, seasonal changes, and weather conditions.
Utilized Python (Pandas, Matplotlib) to analyze correlations, visualize trends, and present actionable insights for
data-driven decision-making.
Copyright © Para Rakesh. Licensed under the MIT License.