**Kaggle achievements**:
- World’s first Quadruple Grandmaster
- Top 5 in all categories
- Kaggle profile: http://www.kaggle.com/abhishek

Get my book: Approaching (Almost) Any Machine Learning Problem for FREE: https://github.com/abhishekkrthakur/approachingalmost

I post a lot of cool stuff from time to time on my YouTube channel. Subscribe me on YouTube: https://www.youtube.com/AbhishekThakurAbhi

I hold a Master's Degree in Computer Science from the University of Bonn. In my free time, I like to take part in machine learning competitions and have taken part in over 200 competitions. My research interests include automatic machine learning, deep learning, hyperparameter optimization, computer vision, image analysis and retrieval and pattern recognition.

Abhishek Thakur

Microsoft Learn Student Ambassadors

• Offered mentorship to a fellow student ambassador on how to manage and conduct public speaking events.

Beta Microsoft Learn Student Ambassador

• Hosted an event to teach 40+ undergraduate students about AI, data science and machine learning.

Alpha Microsoft Learn Student Ambassador

• Conducted workshops to teach students about the latest trends in technology.

Microsoft Learn Student Ambassador

Think360.ai

• Generated more than 140 unique features used to predict the credit score of individuals.
• Created an ensemble of 5 different machine learning models to predict credit default.
• Developed a Text-2-SQL chatbot to convert user queries into SQL code and execute it in a MySQL database.

Data Analyst Intern

KJSCE CodeCell

• Promoted events related to technology and increased the participation from undergraduate university students.

Marketing Team

• Managed 4 different social media accounts to publicize events related to technology.

PR Team

The Marine Robotics Team

• Managed a team of 25+ undergraduate students focused on building an Autonomous Underwater Vehicle (AUV).
• Prepared underwater simulations to test the functioning of the robot using ROS Melodic, Ubuntu 18.04 and Gazebo.
• Initiated the prototyping of a social utility robot to clean contaminated water sources and reduce pollution.
• Trained Yolov4-Tiny and YOLOv5 models for underwater object detection.

Team Captain

• Worked on training YOLOv3 and Detectron2 models for identifying underwater gates, flares and stickers.
• Built image processing and image augmentation solutions for 5 different underwater datasets.

Software Team (Image Processing and Machine Learning)

KJ Somaiya College of Engineering, Vidyavihar

• Identified knee osteoarthritis from X-ray images using deep learning. Curated a custom dataset containing 5,478 images for the binary classification task and corrected the class imbalance present in the dataset using oversampling.
• Utilized the concept of transfer learning to achieve a precision of 97.62%.

Research Intern

Techfest, IIT Bombay

• Publicized events on 2 social media platforms, to facilitate high event participation from college students.
• Recognized as part of the top 10% of college ambassadors for promotion of inter-college and intra-college events.

College Ambassador

The Tann Mann Gaadi 

• Extracted 1500+ frames from videos and labelled them using LabelImg and online annotation tools available on Roboflow. Detected 15 different classes of objects in images and videos using OpenCV and YOLOv3 models. 
• Automated the object detection process for 150 videos. The results of the object detection were saved in excel spreadsheets containing the name of the class, the accuracy of the detection and the coordinates of the bounding boxes.

Machine Learning Intern

Verzeo

• Extracted 600 images from the internet using web scraping, for training a deep learning model. 
• Created a neural network to classify an image as “Human” or “Non-Human” with an F1-score of 0.936.
• Compared the performance and results of 10 different architectures of Convolutional Neural Networks (CNNs).

Undergraduate student with a keen interest in artificial intelligence, data science, machine learning, deep learning and natural language processing.

taplio

The Battle

Abhishek Thakur

Rahil Parikh

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