Sanket Thakur
Master of Engineering: Information and Electrical Engineering
Experience
Master of Engineering: Information and Electrical Engineering
Hochschule Wismar
Bachelor of Engineering: Electrical Engineering
Gujarat Technological University
Automated Clipping of Screen Photos Under Perspective Distortion
Self-initiated
Developed a program to autonomously extract, correct perspective, and save pristine presentation slides from photos
Tasks included slide extraction, perspective correction, unwanted element removal, and batch processing
Methodically optimized, rigorously tested, and thoroughly documented to enhance efficiency and user-friendly operation
Brain Tumor Segmentation with Hybrid Attention and Mask R-CNN
Self-initiated
Enhanced brain tumor segmentation by integrating a hybrid attention module with Mask R-CNN
Improved focus on tumor regions in MRI scans, resulting in more accurate and precise segmentation, aiding better diagnosis and treatment planning
Design of a Shift Register Circuit (74595) Using Autodesk Eagle
Self-initiated
Designed a shift register circuit using the 74595 IC in Autodesk Eagle
Created a precise schematic and PCB layout to produce an efficient and compact circuit ready for integration into digital electronics projects
Face Mask Detection Using TensorFlow
Self-initiated
Developed a robust face mask detection system using TensorFlow in Python, showcasing expertise in computer vision and deep learning
Applied a reliable solution for real-time identification of individuals wearing or not wearing masks, demonstrating hands-on proficiency in image processing and machine learning
Human Activity Recognition Using Deep Learning
Self-initiated
Utilized deep learning models for human activity recognition, showcasing proficiency in time-series data analysis
Employed advanced neural network architectures to accurately classify and predict human activities based on sensor data
Image Editor with OOP
Self-initiated
- Developed a Python-based image editor utilizing Object-Oriented Programming principles, enabling users to perform basic image processing tasks efficiently
Multiclass Image Classification Using Transfer Learning
Self-initiated
Leveraged expertise in multiclass image classification through advanced transfer learning methodologies
Implemented pre-trained Convolutional Neural Networks (CNNs) to efficiently extract features and optimize model performance, significantly enhancing accuracy across diverse image recognition challenges
Named Entity Recognition with Transformers
Self-initiated
- Developed a custom NER model using Hugging Face Transformers (fine-tuned BERT) to extract medical and financial entities from clinical and insurance documents
Skills
Programming Languages:
- Python
- C++
- Sql
- Oop
Data Analysis And Image Processing:
- Pandas
- Numpy
- Matplotlib
- Opencv
- Pil (Python Imaging Library)
Machine Learning And Ai Frameworks:
- Scikit-learn
- Tensorflow (Including Tensorflow 2.0)
- Keras
- Pytorch
- Hugging Face Transformers
- Resnet
Nlp Tools:
- Spacy
- Transformers
- Text Classification
- Ner
Iot And Embedded Systems:
- Arduino Ide
- Raspberry Pi
- Can (Controller Area Network)
- Autodesk Eagle
Development Tools:
- Jupyter Notebook
- Google Colab
- Github
- Visual Studio Code
Languages
Education
Hochschule Wismar
Master of Engineering, Information and Electrical Engineering · Information and Electrical Engineering · Wismar, Germany
Gujarat Technological University
Bachelor of Engineering, Electrical Engineering · Electrical Engineering · Vadodara, India
Certifications & licenses
Modern Artificial Intelligence Masterclass For Healthcare
The Complete Prompt Engineering For AI Bootcamp
Python For Computer Vision With OpenCV And Deep Learning
TensorFlow 2.0: Deep Learning And Artificial Intelligence
TensorFlow Developer Certificate Bootcamp
Designing PCB Using Autodesk Eagle
IoT Automation With ESP8266: Building Smart Devices
Machine Learning: Modern Computer Vision & Generative AI
Learn To Build Websites Like IMDB With Python3 & Django Class-Based Views
Python Deep Learning-Based Face Detection, Recognition, Emotion, Gender, And Age Classification Using Popular Models
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