About

Sunny Tholar is a highly experienced data scientist with 11 years of experience in curating data-driven business solutions for clients across industries. As a Specialist Data Scientist at NICE Actimize, Sunny has demonstrated his expertise in hypothesis testing and building various models using machine learning techniques such as linear regression, logistic regression, decision tree, clustering, time-series forecasting, KNN, Naive Bayes, Random Forest, Bagging, and Boosting. Sunny has also shown proficiency in solving complex industrial NLP (Natural Language Processing) problems using deep learning. He has implemented an end-to-end solution to auto classify the ticket using Topic Modelling with LDA and deep learning technique i.e RNN with LSTM. Sunny has also been trained on CNN for image classification. With extensive experience in R, Python programming, Structured Query Language (SQL), and data visualization using Power BI, Sunny's day-to-day activities involve understanding and defining the business problem, doing EDA (Exploratory data analysis), developing and tuning the models, creating dashboards/reports/ppt for showcasing insights and recommendations to the client. Sunny has sound knowledge in Hadoop (HDFS and MapReduce), Hive, Pig, Sqoop, Oozie, and has worked as a Lead Data Scientist at Wipro and a Sr. Data Scientist at Bristlecone in the past. He holds a Master of Science (M.S.) degree from Birla Institute of Technology and Science, Pilani, and a Bachelor of Engineering (BE) degree from Mumbai University. Sunny's tech stack includes Data Scientist, Research Scientist, Deep Learning, NLP, SQL, Naive Bayes, Random Forest, HDFS, CNN, RNN, MapReduce, test, Python, ML, Hadoop, and Apache Hive. With 13.13 years of relevant experience, Sunny is a seasoned data scientist who is well-equipped to take on challenging projects and deliver results that exceed expectations.