About Me

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.

  • Data Science
    Python, SQL, machine learning (Scikit-learn, TensorFlow), data visualization (Tableau, Power BI)
  • Data-Base
    SQL, MySQL, Oracle SQL 10g
  • Java Full-Stack
    Java,J2EE,Hibernate,Springs, HTML, CSS, JavaScript, ReactJS
  • Automated Visual Inspection Using Deep Learning
    May 2025 – Present
    Summer Intern – IIT Bombay
    • Collaborated with Prof. Indrajit Mukherjee on a machine learning-based visual inspection project focused on quality control in manufacturing using the MVTec AD dataset.
    • Developed and evaluated deep learning models (CNNs) for anomaly detection, designed preprocessing pipelines for variable imaging conditions, and addressed class imbalance in multiclass classification.
  • M.Sc.(Data Science)
    In the year 2024-Present
    From GITAM Univeristy
  • B.Sc.(Statstics, Computer Science, Mathematics)
    In the year 2019-2022
    From The Oxford College of science
    under Bangalore university
  • P.U.C/12th
    In the year 2017-2019
    From Krupanidhi PU college
    under P.U Board
  • 10th
    In the year 2017
    From Bhashyam High School
    under AP SSC Board
  • Java Full Stack Development – Jspiders Training Institute, Hyderabad
    Mar 2023 – Dec 2023

Projects

Storytelling Data Visualization on Exchange Rates

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 Link

Traffic Analysis on I-94 Interstate

Performed 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.

Project Link

Contact Me

rakeshpara313@gmail.com

+91 8497943569

Download CV