About

Rishi Jhunjhunwala is a highly skilled Data Analyst with over 7 years of experience in the IT industry, specifically in Banking and Financial Services. He has a strong background in Python, with expertise in data types, variables, input/output, iterators, list comprehension, functions, variable scope, modules, object-oriented programming, inheritance, exception handling, and data structures. Rishi is also well-versed in creating and manipulating arrays using Numpy and Python, and using pandas to create and analyze data sets. He has experience in creating beautiful data visualizations using matplotlib and seaborn libraries. Moreover, Rishi has a good understanding of Machine Learning and SciKit Learn, with proficiency in Linear & Logistic Regression, Support Vector Machine, Naive Bayes, and Natural Language Processing with Python. Rishi is also proficient in R Studio, with expertise in conditional statements, loops, and functions to power R scripts. He has experience in manipulating data using dplyr and visualizing data using ggvis. Additionally, Rishi has a good understanding of MongoDB, including creating, reading, and updating data (CRUD), and the Aggregation Framework used in MongoDB, Replication, and Sharding. He is also proficient in Oracle and SQL Server Database for SQL Queries and PL/SQL, and has experience in developing mappings using Transformations using Informatica and SSIS. Rishi has worked as a Technical Consultant at Deloitte and an Application Developer at Oracle in the past. Currently, he is working as a Data Analyst at Hawkeye. Rishi has a Bachelor of Engineering degree in Information Technology from Aarupadai Veedu Institute of Technology. In terms of technical skills, Rishi's expertise includes Python, SQL, Machine Learning, MongoDB, Naive Bayes, Support Vector Machine, Seaborn, Natural Language Processing, Scikit, and Pandas. With over 11 years of relevant experience, Rishi is a highly skilled Data Analyst who is well-equipped to handle complex data analysis tasks.