Passionate about Machine Learning and Software Development. I'm highly intrigued by projects that require both conceptual and analytical thinking. Always eager to learn more.
Python, C, Java, JavaScript
Svelte, Django, Flask, FastAPI
MySQL, Postgres, MongoDB
Keras, OpenCV, TensorFlow, Numpy
Browser-based fashion item classification using TensorFlow.js. Built and deployed model for Fashion MNIST dataset.
Implemented LSTM-based prediction system for system failures related to CPU/RAM/disk usage.
Developed logistic regression model to predict product purchases based on age, gender, and salary parameters.
Interactive web-based dice game implementation.
"I had the pleasure of working closely with Animesh as a team member as well his manager for more than 3 years. He has exceptional problem-solving skills and dedication towards deliverables of project. He steps up whenever required, I highly recommend Animesh for his dedication, professionalism, and ability to deliver results."
- Pradeep Goswami, Qualcomm"I've worked with Animesh on various ML projects picked up from Kaggle. What I noticed was that he is extremely dedicated and hardworking. Also very meticulous about his approach and an affable guy to work with."
- Pravash Ranjan, Software Development Engineer at Microsoft"I rarely come across talents who stand out like Animesh. I had the pleasure of mentoring him for two months at Celebal Technologies. His contribution towards our project 'System Failure Prediction using log analysis' is commendable. He has a good grip on Machine Learning algorithms. Being his mentor, Animesh earns my highest recommendation."
- Anurag Sharma, Data Scientist at Celebal Technologies"Animesh is one of the brightest and most reliable people I have ever worked with. During our time at the KGEC E-Cell, he repeatedly stood out with his knowledge in web development, coding, and his enthusiasm for his work. I wish him good luck in all his endeavors."
- Abhranil Roy, Digital Media Lead, SportwalkIf you would like to get in touch, feel free to reach out through any of the following platforms: