Prashant Kumar Bajpai
Linkedin: https://www.linkedin.com/in/prashant-
kumar-bajpai-65907b26a/ Email: Prashantkumarbajpai060@gmail.com
Github: https://github.com/roxjarvis Mobile: +91-9026859943
SKILLS
• Languages: Python, C++, C
• Tools/Platforms: MySQL, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn
• Soft Skills: Problem-Solving Skills, Team Player, Adaptability, Listening Skills, Communication Skills
INTERNSHIP
Vidhyashala Nov 2024 – Feb 2025
Intern
● Lead generation
PROJECT
• Data Analysis and Visualization for Behavioral Insights October 2024
◦ Designed and conducted a data collection pipeline via Google Forms, gathering critical responses on extraversion,
self-esteem, age, and gender from 53 participants.
◦ Integrated multiple datasets (e.g., scores, age, gender) using Python libraries like pandas, ensuring a seamless and
structured data analysis process.
◦ Implemented statistical techniques to calculate descriptive metrics such as median, mode, and standard deviation for key
variables, providing meaningful insights into participant characteristics.
◦ Visualized relationships between personality traits and demographic factors using Python tools, enhancing data
interpretation through plots and summaries.
◦ Optimized data preprocessing and merging workflows to ensure accuracy and efficiency, contributing to a robust analysis
framework.
• Image Classification Project July 2024
◦ Loaded and normalized images from the Fashion MNIST dataset to prepare them for feature extraction and
classification tasks
◦ Used OpenCV to extract key features from the images that would be useful for distinguishing between different classes
◦ Applied machine learning algorithms like SVM or Logistic Regression using scikit-learn to train a model on the
extracted features
◦ Assessed the performance of the image classifier using metrics such as accuracy, precision, recall, and confusion matrix
◦ Built a pipeline that integrates preprocessing, feature extraction, and classification for deployment in practical applications
• IOT-Enabled Smart Bin with Automated Waste Segregation
◦ Developed and programmed an ESP32 microcontroller to monitor moisture levels and classify waste into wet or dry
categories using sensor integration.
◦ Designed and implemented an automated servo-based sorting mechanism, controlled via IR sensors and soil moisture
thresholds, for efficient waste segregation.
◦ Optimized the system's performance with calibrated analog and digital readings, ensuring accurate decision-making and
seamless operation of IoT components.
CERTIFICATE
• 2023 Certified white hat hacker, 2023 Cybersecurity pledge, 2021 Advance certification in cybercrime (CompTIA
CySA+), 2024 Data science and machine learning, HTML5 AND CSS 3 FUNDAMENTALS from Udemy 2025
ACHIEVEMENTS
• Cyber security foundation 2023
Award
April 2023
• HRSCAPE (NHRD) Award
EDUCATION
Lovely Professional University Punjab, India
Masters of Science – Information Technology; CGPA: 5.7 Since August 2023
MJPR, University Bareilly , U.P.
Bachelors of Science – Chemistry; CGPA: 6.8 July 2020 – May 2023
Kedar Singh memorial school Mitalui Lakhimpur Kheri Lakhimpur Kheri, U.P
12th with Science; CGPA: 7.5 April 2019 - March 2020
Lakhimpur Kheri, U.P
CHANDIKA S V D I C Fattepur kheri
April 2017 - March 2018
10th: CGPA: 8.1
