About

Hari Cheekati is a highly skilled Senior Software Developer at Hilton with over 5 years of experience in the field. He has a Master's degree in Computer Science from the University of Memphis and a Bachelor of Technology in Computer Science from JNTU. Hari's expertise lies in Big Data, Machine Learning, and Apache Spark. He has worked as a Research Assistant (Data Scientist) at the University of Memphis, where he was responsible for configuring a standalone cluster for parallelization of data using Apache Spark, preprocessing and transforming data using Python Pandas, and performing K-Means and Gaussian mixture model clustering algorithms on the data. He also architected a pipeline for scalable lifted inference using Apache Spark and Python. As a Graduate Teaching Assistant at the University of Memphis, Hari worked on a project called "MSpark: Scalable lifted Inference on Markov’s Logic" that was presented at the 25th International Joint Conference on Artificial Intelligence (IJCAI-16) held in New York. He scraped data from Yelp using Python, parsed HTML pages using the Beautiful Soap package, and applied machine learning algorithms like Naïve Bayes, K Nearest Neighbors, and Logistic using the Scikit-Learn package in Python to classify restaurant performance based on key variables identified using feature extraction method. Hari is proficient in Python, Spark, Pandas, Scikit, and other relevant technologies. He has excellent analytical and problem-solving skills and is an expert in executing Apache Spark's map-reduce framework. Overall, Hari has 5.85 years of relevant experience and is a highly motivated and skilled developer who is always eager to learn and grow in his field.