About

Salil Gautam is an accomplished Data Scientist with a passion for operationalizing data science and analytics to achieve business value. He is accustomed to a fast-paced learning and prototyping environment and has won over 50 Data Science & Product based Hackathons over the last 5 years, solving complex problems under extreme time constraints across different domains. Salil possesses a diverse set of skills, including proficiency in statistical tools & languages such as Python (NumPy, Pandas, Scikit-learn, matplotlib, Tensorflow, Keras), SQL, Presto, Hive, and PySpark. He is well-versed in a range of Data Science Techniques, including Supervised (Regression, Classification, Decision Trees, Ensemble models), Feature Engineering, Semi-supervised and Unsupervised (PCA, Multidimensional Scaling, Clustering), A/B Testing, Hypothesis testing, Deep Learning (CNN, RNN, LSTM, GRU), Natural Language Processing (Word Embeddings, Transformer Arch, Frequency based models), Computer Vision (usage of pre-trained models), OOP, ETL, and Data Science Pipeline (cleaning, wrangling, visualization, modeling, interpretation). He is also proficient in various miscellaneous tools such as APIs (FastAPI), Airflow, Streamlit, Docker, Azure, GCP, AWS, Git, and Excel. Currently, Salil serves as a Data Science Mentor at Scaler Academy, where he provides 1:1 mentorship to students in the Data Science & Machine Learning Program. In the past, he has worked as a Data Scientist at Airbnb, where he built best-in-class compliance platforms & tools that eliminate legal risks, ensure regulatory compliance, and enable payments operations for Airbnb Payments. He was the #3 Data Science India hire at Airbnb. Salil holds a Post Graduate Diploma in Machine Learning & AI (PGDML&AI) from IIIT Bangalore and a Bachelor of Engineering in Computer Science from Army Institute of Technology. He also has a background in Science from Army Public School, Mathura. Salil's tech stack includes Data Scientist, SQL, Computer Vision, Deep Learning, NLP, ML, Python, AWS, Keras, CNN, RNN, Scikit, Apache Airflow, Docker, Research Scientist, Tensorflow, Pandas, ETL, Azure, GCP, Apache Hive, Text Classification, Blockchain, AI, DevOps, and infra. With 4.03 years of relevant experience,