Parthiv Modak
Kolkata,West Bengal
Fall seven times; stand up eight.
Japanese proverb
Summary
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Analyst and Data Scientist position. Ready to help team achieve company goals.
Overview
1
1
Certification
2
2
Languages
Education
B.Tech - Computer Science Engineering
07.2025
GPA: 9.14
- Ranked 9 in Class
Class XII -
07.2021
Percentage: 88.2
Class X -
07.2019
Percentage: 90.3
Skills
- Python
- C
- Java
- Tensorflow
- Keras
- Sckitlearn
- Open-CV
- Statistical Analysis
- SQL Databases
- Machine Learning
- Problem-Solving
Certification
- Unsupervised learning, Recommenders and Reinforcement Learning - Coursera
- Advanced Learning Algorithms - Coursera
- Python for Data Science and Machine Learning Bootcamp - Udemy
- Machine Learning A to Z - Udemy
Awards & Responsibilities
- Won SIT Hackathon and achieved Top 3 position (Organized by SAP and Alien Brains)
- IEEE-BPPIMT Student Branch Chairperson
- Former Financial President of IEEE-BPPMT Student Branch
Projects
1. Kidney Tumor Detection
- Tools/Technologies: Python, CNN, Scikit-Learn, TensorFlow, Keras, VGG16, Transfer Learning, DVC, MLFlow, Dagshub
- Description: Developed a model to detect kidney tumors from CT-Scan images with 95% accuracy using transfer learning. Focused on modular coding for efficiency and robustness.
2. Damage Detection in Aircrafts
- Tools/Technologies: Python, CNN, Scikit-Learn, TensorFlow, Keras, Yolov5
- Description: Created a model to detect cracks and dents in aircrafts with high precision and recall.
3. AES System
- Tools/Technologies: Python, NLP, Scikit-Learn, TensorFlow, Keras
- Description: Achieved top 3 in SIT Hackathon 2024. Reviewed recent research papers and developed an AES system.
4. Pneumonia Detection
- Tools/Technologies: Python, CNN, Scikit-Learn, TensorFlow, Keras, Xception Net, Transfer Learning
- Description: Developed a model to detect pneumonia from lung X-ray images with 98% accuracy.
5. Traffic Rule Violation Management System
- Tools/Technologies: HTML, CSS, JavaScript, PHP
- Description: Created a dynamic website for managing traffic rule violations, including generating challans.
6. Kdd99
- Tools/Technologies: Python, ANN, Scikit-Learn, TensorFlow, Keras
- Description: Solved a classification problem involving various cyber attack data, achieving 97% accuracy.
Accomplishments
- Collaborated with team of 3 in the development of AES Grading System.
- Supervised team of 20 staff members.
- Achieved Rank 1 through effectively helping with SAP SIT Hackathon.
Languages
English
Bilingual or Proficient (C2)
Hindi
Advanced (C1)
Bengali
Bilingual or Proficient (C2)
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Interests
Machine Learning
Data Analysis
Deep Learning
Computer Vision
Large Language Model
Chess
Timeline
B. P. Poddar Institute of Management And Technology - B.Tech, Computer Science Engineering
Baranagar Narendranath Vidyamandir - Class XII,
Baranagar Ramakrishna Mission Ashrama High School - Class X,
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