Hoboken, New Jersey
Seeking Data Analyst full time position
Stevens Institute of Technology, Hoboken, New Jersey
Master of Science in Information Systems, GPA: 3.73 Dec 2018
Course Work: Data Warehousing/Business Intelligence, Project Management Fundamentals,
Supply Chain Analytics, Multivariate Data Analysis, Cognitive Computing
BVB College of Engineering, India
Bachelor of Science in Information Science June 2016
Microsoft Office – Word, Excel, PowerPoint
Programming Languages: Java, SQL, Python, SAS and R
Data Visualization Tool: Tableau
Databases: MS SQL, My SQL, Oracle
Fiera Capital, New York
Business Intelligence Intern, BI and Information Technology June 2018 -Aug2018
Wrote SQL queries in Enterprise Data Management (EDM) database to check for missing security prices and overrode the close prices in the same.
Developed phase two data model for EDM describing everything from scratch how the entire system worked for CRD, Charles River and APX
Successfully identified multiple data issues and helped with their resolution
AHY Consulting, Mumbai, India July 2016 – May 2017
Software Developer, Information Technology
Participated in sales presentations due to ability to translate user needs into easy-to-understand software solutions.
Worked on complex SQL queries, stored procedures, triggers, views, cursors and exception handling.
Involved in requirement gathering and Analysis, Design, Coding, Testing, Application Maintenance, Quality Reviews and Documentation.
Stevens Institute of Technology, Hoboken, NJ
US-Permanent Visa Applications, Knowledge Distribution and Data Mining Spring 2018
Cleaned the US visa applications dataset which had more than 30,000 observations and different levels by removing the repeated and NA values in R
Selected top 20 features with least number of missing values and plotted the graph in R studio of top 20 countries from which people are filing applications and the graph of top 20 industries, states, cities with employees filing applications.
Conducted prediction models such as Naïve Bayes, Random Forest, C5.0, CART and ANN in R to get the accuracy and error rate
Object Detection in Autonomous Driving Car, Cognitive Computing Fall 2018
Used a specialized convolutional Neural Network algorithm called YOLO to get real time object prediction.
Implemented the project using various tools such as Python, TensorFlow and Keras
Used non-max suppression to filter out the boxes and Intersection over Union to get final bounding box
Available to Work Immediately