Rajneesh Pandey
@rajneeshpandey
Aspiring software engineer with a focus on machine learning projects.
What I'm looking for
I am a dedicated and passionate engineering student specializing in Computer Science at Chandigarh University. With a CGPA of 8.08, I have developed a strong foundation in programming and machine learning, complemented by hands-on experience in various projects. My journey has been marked by a commitment to excellence and a desire to leverage technology for impactful solutions.
Throughout my academic career, I have successfully completed several projects, including a University Result Management System using React.js and a Fake News Detection System utilizing machine learning algorithms. My research work on comparative analysis of machine learning models has further honed my analytical skills and deepened my understanding of data-driven decision-making. I am eager to apply my knowledge and skills in a challenging role that fosters growth and innovation.
Experience
Work history, roles, and key accomplishments
Research Assistant
IEEE Explore
Apr 2024 - Present (2 years 3 months)
Conducted a comparative study of four machine learning models for fake news detection: Random Forest Classifier, Logistic Regression, Decision Tree, and Gradient Boosting Classifier. Employed various performance metrics such as precision, accuracy, recall, and F1-score for model evaluation.
Machine Learning Engineer
Fake News Detection System
Oct 2023 - Present (2 years 9 months)
Developed a responsive website for detecting fake news using machine learning algorithms, allowing users to input headlines and check authenticity. Utilized natural language processing techniques to achieve 95% accuracy in fake news detection.
Web Developer
University Result Management System
Mar 2023 - Present (3 years 4 months)
Developed a fully functional and responsive website for storing and displaying student results. Collaborated with a team, primarily managing and deploying the database for the project.
Machine Learning Developer
Credit Card Default Prediction System
Jan 2022 - Present (4 years 6 months)
Developed a responsive website for detecting credit defaulters using machine learning algorithms. The system predicts a person's name based on their previous repayment history.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science
Grade: 8.08 CGPA
Pursued a Bachelor of Engineering in Computer Science, gaining foundational knowledge and practical skills in the field. Achieved a CGPA of 8.08, demonstrating strong academic performance.
Anil Saraswati Vidya Mandir
Intermediate, Science
Grade: 80%
Completed Intermediate education in Science, achieving a strong academic record with 80% marks. Focused on core scientific principles and analytical skills.
Anil Saraswati Vidya Mandir
Matriculation, General Studies
Grade: 89.5%
Achieved Matriculation with an excellent academic performance, securing 89.5% marks. Developed a strong foundation in various subjects during this period.
Availability
Location
Authorized to work in
Job categories
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