Secured second position for developing a recommendation engine using BERT word embedding from scraped data.

(Python, RASA, TensorFlow, Scikit-Learn, Pandas, NLTK, spaCy)

Third Place for designing a robust, scalable data processing pipeline and training a Deep Learning model.

(Python, Hadoop, MySQL, TensorFlow, Dremio, Tableau)

First Place for training a tree-based boosting model to predict demand with the lowest RMSE among all competitors.

(Python, Scikit-Learn, LGBM, Pandas, Numpy, Scipy)

Winner of ACM Mumbai Hackathon (Problem Statement 4) where we built a platform where budding startups, entrepreneurs and investors can connect and implemented recommendation engine for recommmending jobs to job seekers.

Winner for problem statement (NM-378) in college. Trained a computer vision model to classify crops in farms with overall best accuracy and F1 Score. Scraped crop images from google.

(Python, TensorFlow, OpenCV)

Analysed a business problem and presented our solution for it at IIT Bombay, were one of the top 6 in India.

(R, Tableau, Microsoft Excel, Microsoft Powerpoint)