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Prince Gaurav

Aspiring Data Analyst & ML Engineer | Data Science & Predictive Modeling | Proficient in SQL, Python, and Tableau

Patna

2+ years of work experience

Training & Placement Cell, LNJPIT Chapra
Jun 202511 mosPresent

Training & Placement Cell, LNJPIT Chapra
Jul 20241 yrJun 2025

I am pleased to announce that I have been selected as the Training and Placement Cell Coordinator at Loknayak Jai Prakash Institute Of Technology,Chapra. I look forward to working in our students benefits and partnering with companies to connect academic learning with industry opportunities. Thank you to everyone who has supported me. I am excited about the challenges and opportunities ahead. #TrainingAndPlacement #CareerDevelopment
Drobozone Innovative Centre Pvt. Ltd.
Oct 20253 mosDec 2025

India

Analyzed EdTech datasets to identify student engagement patterns across STEM and Robotics programs. • Developed Python-based visualizations to evaluate the impact of AI training in underserved regions. • Optimized data cleaning pipelines for smart classroom projects, increasing reporting accuracy.
National Institute of Technology , Patna
May 20252 mosJun 2025

Patna, Bihar, India

Gladly I want to share my Summer Internship is going on at NIT Patna under the guidance of Dr.Suddhasil De Sir from 19th May To 30th June (6 week Internship) Project Name : Vehicle Detection In Hazzy Weather as well as in all weather conditions . It is totally a Research Based Project In which worked upon on Object Detection and Objection Segmentation with a best Accuracy and Precision. Tools & Technologies Learned: 1. Programming Language ●Python: For writing scripts, training models, and data handling. 2. Deep Learning Framework ●PyTorch: Backend used by YOLOv8. ●Ultralytics YOLOv8: ○For object detection and segmentation of vehicles in various weather conditions. 3. Google Colab ●Cloud-based Jupyter notebook for: ○Model training and testing ○GPU access for deep learning tasks ○Mounting Google Drive for file operations 4. Google Drive ●Storage & Data Access: ○Store datasets and trained model weights. ○Load training, testing, and validation images directly. 5. OpenCV ●Computer Vision Tasks: ○Reading and preprocessing images ○Enhancing foggy images using techniques like CLAHE (Contrast Limited Adaptive Histogram Equalization) 6. Matplotlib / Seaborn ●For visualization of: ○Detection results ○Accuracy and loss curves ○Bounding boxes on images 7. YAML Configuration ●Used to configure dataset paths (data.yaml) for YOLOv8 training and evaluation. 8. Evaluation Metrics ●Accuracy, Precision, Recall, mAP (mean Average Precision): ○Metrics to evaluate model performance across train, test, and validation datasets. 9. Data Augmentation Techniques ●YOLOv8 in-built augmentations like: ○Mosaic, RandomAffine, and your own enhancement techniques for hazy weather.
Startupcell Lnjpit
Jul 20246 mosDec 2024

CDAC,Noida
Sep 20242 mosOct 2024

NOIDA

I recently completed a Virtual Internship at the Centre for Development of Advanced Computing (C-DAC), NOIDA (September 2024 - October 2024). This opportunity allowed me to deepen my knowledge and skills in the dynamic field of cybersecurity and digital forensics. I had worked Worked under the mentorship of Prateek Sir and Raja Deb Sir. Undertook an intensive online training program on Ethical Hacking and Penetration Testing. Gained expertise in identifying, analyzing, and mitigating security vulnerabilities to ensure robust systems. Skills Acquired: ✅ Ethical Hacking ✅ Penetration Testing ✅ Vulnerability Assessment ✅ Network Security ✅ Risk Management ✅ Security Auditing ✅ Cyber Threat Analysis ✅ Incident Response ✅ Digital Forensics ✅ Audio Analysis Achievements: Successfully completed the training and internship program. Strengthened my proficiency in cybersecurity and digital forensics through hands-on projects and real-world scenarios.

Education

Bihar Engineering University, Patna

Bachelor of Technology - BTech, Computer Science

Bihar Engineering University, Patna

20224 yrs2026

High School, Science

Forbesganj College

20192 yrs2021

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Headline

Aspiring Data Analyst & ML Engineer | Data Science & Predictive Modeling | Proficient in SQL, Python, and Tableau

About

•Dedicated CSE engineering student with a strong interest in programming and hardware's. •Having experience in several programming languages, including C, C++ and Java •Familiar with computer hardware....

Location

Patna

Work experience

Student Representative at Training & Placement Cell, LNJPIT Chapra, Jun 2025 - Present · 11 mos

Coordinator at Training & Placement Cell, LNJPIT Chapra, Jul 2024 - Jun 2025 · 1 yr, I am pleased to announce that I have been selected as the Training and Placement Cell Coordinator at Loknayak Jai Prakash Institute Of Technology,Chapra. I look forward to working in our students benefits and partnering with companies to connect academic learning with industry opportunities. Thank you to everyone who has supported me. I am excited about the challenges and opportunities ahead. #TrainingAndPlacement #CareerDevelopment

Intern at Drobozone Innovative Centre Pvt. Ltd., Oct 2025 - Dec 2025 · 3 mos, India, Analyzed EdTech datasets to identify student engagement patterns across STEM and Robotics programs. • Developed Python-based visualizations to evaluate the impact of AI training in underserved regions. • Optimized data cleaning pipelines for smart classroom projects, increasing reporting accuracy.

Summer Research Intern at National Institute of Technology , Patna, May 2025 - Jun 2025 · 2 mos, Patna, Bihar, India, Gladly I want to share my Summer Internship is going on at NIT Patna under the guidance of Dr.Suddhasil De Sir from 19th May To 30th June (6 week Internship) Project Name : Vehicle Detection In Hazzy Weather as well as in all weather conditions . It is totally a Research Based Project In which worked upon on Object Detection and Objection Segmentation with a best Accuracy and Precision. Tools & Technologies Learned: 1. Programming Language ●Python: For writing scripts, training models, and data handling. 2. Deep Learning Framework ●PyTorch: Backend used by YOLOv8. ●Ultralytics YOLOv8: ○For object detection and segmentation of vehicles in various weather conditions. 3. Google Colab ●Cloud-based Jupyter notebook for: ○Model training and testing ○GPU access for deep learning tasks ○Mounting Google Drive for file operations 4. Google Drive ●Storage & Data Access: ○Store datasets and trained model weights. ○Load training, testing, and validation images directly. 5. OpenCV ●Computer Vision Tasks: ○Reading and preprocessing images ○Enhancing foggy images using techniques like CLAHE (Contrast Limited Adaptive Histogram Equalization) 6. Matplotlib / Seaborn ●For visualization of: ○Detection results ○Accuracy and loss curves ○Bounding boxes on images 7. YAML Configuration ●Used to configure dataset paths (data.yaml) for YOLOv8 training and evaluation. 8. Evaluation Metrics ●Accuracy, Precision, Recall, mAP (mean Average Precision): ○Metrics to evaluate model performance across train, test, and validation datasets. 9. Data Augmentation Techniques ●YOLOv8 in-built augmentations like: ○Mosaic, RandomAffine, and your own enhancement techniques for hazy weather.

Student Representative at Startupcell Lnjpit, Jul 2024 - Dec 2024 · 6 mos

Intern at CDAC,Noida, Sep 2024 - Oct 2024 · 2 mos, NOIDA, I recently completed a Virtual Internship at the Centre for Development of Advanced Computing (C-DAC), NOIDA (September 2024 - October 2024). This opportunity allowed me to deepen my knowledge and skills in the dynamic field of cybersecurity and digital forensics. I had worked Worked under the mentorship of Prateek Sir and Raja Deb Sir. Undertook an intensive online training program on Ethical Hacking and Penetration Testing. Gained expertise in identifying, analyzing, and mitigating security vulnerabilities to ensure robust systems. Skills Acquired: ✅ Ethical Hacking ✅ Penetration Testing ✅ Vulnerability Assessment ✅ Network Security ✅ Risk Management ✅ Security Auditing ✅ Cyber Threat Analysis ✅ Incident Response ✅ Digital Forensics ✅ Audio Analysis Achievements: Successfully completed the training and internship program. Strengthened my proficiency in cybersecurity and digital forensics through hands-on projects and real-world scenarios.

Education

Bachelor of Technology - BTech, Computer Science, Bihar Engineering University, Patna

High School, Science, Forbesganj College