Hello!

I'm Prahallad Nayak



👨‍💻 Aspiring Data Scientist

YouTube My works

Career Goal: Aspiring Data Scientist

Current Status: B.Tech (CSE) Student – 3rd Year

Address: Khaira, Balasore, India

Skills

Python 85%
Machine Learning 80%
Data Visualization 90%
SQL 85%
Web Development (HTML/CSS) 75%
Computer Vision (OpenCV) 80%
Deep Learning 75%
NLP 65%

About

About Me

I'm a 3rd-year B.Tech (CSE) student with a strong passion for data science and artificial intelligence. Skilled in Python, Java, C, SQL, and libraries like Pandas, NumPy, and OpenCV, I enjoy building real-world tech projects that solve meaningful problems. I have hands-on experience with machine learning models, data analysis, web development, and computer vision. Eager to grow as a future Data Scientist and contribute to impactful innovations.

  • Profile: Aspiring Data Scientist
  • Domain: Data Science, Machine Learning, Data Analytics
  • Education: B.Tech in Computer Science Engineering (Pursuing)
  • Languages: English, Hindi
  • BI Tools: Power BI, Excel
  • Skills: Python, Java, C, SQL, HTML, CSS, Git
  • Libraries & Frameworks: Pandas, NumPy, Matplotlib, Seaborn, OpenCV, Scikit-learn, Flask
  • Machine Learning: Supervised Algorithms, Data Preprocessing, Model Evaluation
  • Interests: AI & ML Projects, Data Analysis, Building Real-World Applications

0 +   Projects completed

LinkedIn

Resume

Resume

🎓 Aspiring Data Scientist & CSE student with a strong foundation in Python, Machine Learning 🤖, and Data Analysis 📊. Passionate about solving real-world problems through tech 💡 and building impactful AI/ML projects 🚀. Continuously exploring new tools and technologies to grow in the world of Data Science 🌐.

Experience


2023 – Present

Academic Projects & Achievements

B.Tech - Computer Science & Engineering
  • Developed 15+ Projects focusing on Data Science, Machine Learning, Computer Vision, and Web Development.
  • Most Impactful Project:
    Health Monitoring Web App – Developed a Flask-based web application with three core modules: Disease Prediction, Health Risk Assessment, and Patient Segmentation using machine learning for smarter and faster health insights.
  • Other Highlighted Projects:
    • Placement Prediction Web App – Created using Flask and a Logistic Regression model to predict student placement chances based on academic and skill features.
    • Salary Prediction System – Built using Linear Regression to estimate salaries based on experience and skill-related input data.
    • House Rent Prediction – Developed a machine learning model to forecast house rent prices based on city, BHK, and furnishing type.
    • Diwali Sales Analysis – Performed EDA using Python (Pandas, Matplotlib, Seaborn) to uncover customer behavior and festive sales trends.
    • Spotify Dashboard – Designed an interactive Power BI dashboard using Spotify data for real-time insights into music trends.
  • Consistently achieved 9.0+ SGPA in 4 consecutive semesters, and was awarded by the college for academic excellence. 🏆


Education


2023 - 2027

B-Tech in CSE

Nalanda Institute of Technology (NIT), BBSR

Current CGPA: 9.05 (Till 2nd Year)

2021 - 2023

Higher Secondary School

Sri Nivas Higher Secondary School, Soro

Grade: 80.2%

Download CV

Projects

Projects

Below are the sample Data Science & Analytics projects on ML , Python, SQL, Power BI

Health Monitoring Web App

Developed a Flask-based web application with three core modules: Disease Prediction, Health Risk Assessment, and Patient Segmentation using machine learning for smarter and faster health insights.

Data Analysis using Python Project for Beginners

Performed exploratory data analysis on diwali sales data using Python to improve the customer experience.

Power BI Spotify Dashboard

Designed an interactive Power BI dashboard using Spotify data for real-time insights into music trends.


Placement Prediction Web App

Created using Flask and a Logistic Regression model to predict student placement chances based on academic and skill features.

Salary Prediction System

Built using Linear Regression to estimate salaries based on experience and skill-related input data.

House Rent Prediction

Developed a machine learning model to predict house rent based on features like city, BHK, and furnishing status.

0 Achievements
0 Projects
0 Skills Learned
0 Hackathons/Internships

More projects on Github

🌍🤖 I love solving real-world problems using Machine Learning  💡🚀 and always stay curious about emerging technologies 🔬✨


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Bhubneswar,Odisha

Contact Number

+91-8018333413

Email Address

prahalladnayak400@gmail.com

Download Resume

Resume-link



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