Pooja Bhamare

Jersey City, NJ ***** adndhy@r.postjobfree.com 551-***-**** www.linkedin.com/in/poojabhamare24 EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Master of Science (MS) in Information systems

GPA: 3.67 Graduate class of 2021

N.D.M.V.P Samaj College of Engineering Maharashtra, India Bachelor of Engineering (BE) in Electronics & Telecommunication Engineering June 2019 RELEVANT COURSEWORK

Data Mining & Visualization Big Data & Information Systems Database Management Systems Database Programming Python Programming Enterprise Intelligence Development Business telecommunication Project Management TECHNICAL SKILLS

Programming Languages: C, C++, Python, MySQL

Database Management: MySQL, MS ACCESS

Operating Systems: Windows

Software: Tableau, MS Office, Dev-C++, Microsoft Visual Studio, MS SQL EXPERIENCE

Data analyst Intern at Buggy TLC, New York November 2019 – December 2020

• Performed Data Analysis on large data sets and worked on Python and SQL ACADEMIC PROJECTS

Database Management System for Wise Glass NY LLC ® August 2019 – December 2019

• Collaborated in a team of four to analyze past data of customer requirements for glass-selling company to offer promotions and help to increase customer base.

• Created a database management system using Microsoft Access to store and manage customer, product, manufacturer, and services information, developing an ER diagram to establish relationships between the tables. Car Buddy August 2019 – December 2019

• Collaborated in a team of three to create a software that would allow a car repair and service company to secure clients through an online medium.

• Designed a database infrastructure that helps to classify data and identify interrelationships between various components of the system.

• Developed a database based on design to store customer and car information, allowing the company to manage its business operations and enabling users to register their car for repair and service. Alarm Set January 2020 – May 2020

● Collaborated in a team of six to analyze a dataset of alarms to predict whether an alarm is true or false based on various factors, performed exploratory data analysis using Rapid Miner Studio, and visualized the dataset using Tableau.

● Performed training, testing and validation on the dataset using three machine learning models, like Decision Tree, Naïve Bayes, and Logistic Regression in Rapid Miner to predict the accuracy of the alarms.

● Selected Decision Tree as the most effective model for the prediction, achieving an accuracy rate 96.65%. CONFERENCE PRESENTATIONS

P. Bhamare, M. Adsare, and B. N. Shinde, “Driverless System to enhance safety with voice assistance” in International Conference on Intelligent Systems and Communication Networks, IC-ISCN-2019, Mumbai, India, February 22-23, 2019. ADDITIONAL TRAINING

Sai Infotech, C C++ Python MySQL June 2019

N.D.M.V.P Samaj College of Engineering, Embedded System & PCB Designing Workshop September 2017 LinkedIn Learning, Introduction to Data Science Learning Python Learning MySQL Development March 2020