About me
Machine Learning Engineer with 3+ years of industry experience in analyzing data, understanding client requirements and utilizing data science skills to solve industry problems. Passionate about developing and implementing state-of-the-art algorithms to make robust intelligent systems.
Work experience
- Jan 2018 - July 2020: Machine Learning Engineer, DataVal Analytics
- Built HR Analytics Suite to understand employee sentiments by utilizing BERT embeddings, predicting attrition rate using XGBoost algorithm with 89% accuracy.
- Developed a feature extraction (NER) model to extract technical and soft skills from resumes using ALBERT with approximately 92% accuracy.
- Developed an innovative DBSCAN+LSTM model to predict the vessel trajectory with approximately 85% accuracy.
- Implemented an algorithm to predict vessel type with approximately 95% accuracy.
- Designed and developed a knowledge ingestion platform from scratch.
- Built a non-neural network-based NLP pipeline for a QA system to understand and respond to user queries.
Education
- Masters in Artificial Intelligence from IIT, Ropar, 2024
- Bachelors in Electrical Engineering from CIEM, MAKAUT, 2017
Skills
- Programming Languages : Python, Java, C++
- Libraries : TensorFlow, Keras, HuggingFace, Spacy, OpenCV, DASK, NLTK, Pandas, Numpy, Scikit-Learn, Matplotlib
- Tools and Technologies : Machine Learning, Natural Language Processing (NLP), Flask, Kibana, Deep Learning, gUnicorn, Apache airflow, Nginx, Language Models, Git, Docker
- Databases : MySQL, Elasticsearch, MongoDB, OrientDB
Publications
Leadership Roles
- Headed the Public Relations & Sponsorship division at Pehchaan Ek Safar, an NGO initiative by IIT Ropar students, overseeing a team of 30 individuals to secure funds and bolster the organization’s visibility.