About

Khauneesh Saigal is a seasoned Senior Advisor in Data Science at Dell Technologies with over 6 years of experience in providing end-to-end solutions to business problems. He is proficient in Python, Statistical Modelling, Time Series Analysis, supervised (Machine Learning and Deep Learning) & unsupervised learning. Khauneesh has experience in distributed and in-memory computing frameworks like PySpark and Dask and is familiar with cloud services and ML ops platforms like AWS, GCP, Domino, and Kubernetes. Khauneesh has worked with several companies in the past, including Brilio and Landmark Group, where he showcased his expertise in developing models to solve complex business problems. At Brilio, he developed a model that prioritized deal-related tasks of individual sales representatives based on their sales history and client domain. He also worked on end-to-end development and deployment of a propensity model for quotes of deals on Dell products on a global scale. At Landmark Group, Khauneesh developed a forecasting model using FB Prophet for every territory, brand, and individual product, which resulted in an 8% jump in median accuracy and a 33% reduction in runtime. Khauneesh holds a Bachelor of Technology degree in Electrical and Electronics Engineering from Krishna Institute of Engineering and Technology, Ghaziabad. He is a Data Scientist with expertise in Python, ML, Reinforcement Learning, Research Scientist, Deep Learning, AWS, NLP, Kubernetes, Computer Vision, GCP, AI, test, Hyperparameter, SQL, Object detection, Keras, Seaborn, CNN, RNN, Object Detection, Spark, Scikit, TensorFlow, Pandas, and Hadoop. With 7.62 years of relevant experience, Khauneesh is a valuable asset to any organization looking to solve complex business problems using data and quantitative methods.