About

Deepesh Kataria is a highly skilled Strategy & Analytics Consultant at Deloitte, with a focus on data science. He possesses hands-on experience in delivering and assuring execution of several analytical projects. Deepesh is a data science professional with skills in Machine Learning, Data and Business Analysis, and has a diverse range of technical skills. He is proficient in programming languages such as R (tidyverse, caret, Shiny), Python (keras, scikit-learn, TensorFlow), SQL, VBA, JAVA, JavaScript, C++, HTML. He is also well-versed in tools such as Anaconda, R Studio, PyCharm, Hadoop, Spark, SPSS [Statistics, Modeler], Google Analytics, Tableau, Power BI, and Google Analytics. Deepesh has expertise in Machine Learning techniques such as Deep Learning, Gradient Boosting, Regression Analysis, Clustering, Decision trees, NLP, and Timeseries forecasting. He also has experience in databases and ETL tools such as MySQL, MongoDB, SSIS, AWS (EMR, Redshift, S3), and AZURE. Deepesh has a Master's degree in Analytics from Northeastern University, where he graduated in 2019. He also holds a Bachelor's degree in Computer Science from NCU (The Northcap University), where he graduated in 2014. With 4.76 years of relevant experience, Deepesh has worked as a Graduate Teaching Assistant and Data Analyst at Northeastern University in the past. He is a highly skilled Data Scientist with expertise in ML, SQL, AWS, Keras, Deep Learning, NLP, Spark, Scikit, Javascript, Tensorflow, MySQL, MongoDB, Hadoop, ETL, Azure, Python, and Java. Overall, Deepesh Kataria is a highly skilled data science professional with a diverse range of technical skills and hands-on experience in delivering analytical projects. He is a valuable asset to any team he works with.