Data Analyst

Puja Bathija

315-***-**** *************@*****.*** Syracuse, NY 13210

EDUCATION

Syracuse University-College of Engineering and Computer Science, Syracuse, NY August 2019 - May 2021 Master of Science In Computer Science

Courses: Analytical Data Mining,Big data algorithms, Introduction to Artificial Intelligence Mumbai University - Vivekanand Education Society, Maharashtra, India August 2015 - June 2019 Bachelor of Science in Information Technology

EXPERIENCE

Data Analyst Intern, CSIR-CDRI, India August 2017 - September 2018

• Collected raw data about fine art galleries around the globe such as name, address, phone number, type of gallery. Gathered data about countries such as happiness factor, an economic score of the country using web scraping with python library BeautifulSoup

• Performed data cleaning and verification to make data ready for analysis, also carried out exploratory data analysis on collected data to analyze data and gain insight to summarize data features that were more correlated

• Applied data analysis algorithms such as classification and regression techniques on data using python and Jupyter notebook and implemented in Weka tool for preliminary analysis. Collaborated and reviewed the work of two interns

Python Developer Intern, CodeBreak, India June 2017 - August 2017

• Accumulated data using web scraping using the BeautifulSoup library of python and stored all data in a MySQL database using SQL queries. Collaborated with a team of one student and 2 mentors

• Designed a recommendation system for articles based on likes and time spent by the reader on an article to improve the application's reading experience

PROJECT

Facial Recognition by Keras June 2020 – August 2020

• Developed a facial recognition model with using python Keras library and OpenCV library. Built and trained a convolution neural network.

• Deployed the trained model to a web interface with flask. Applied the model to real time video stream and image data

Breast Cancer Detection System December 2018 - May 2019

• Performed training on two types of convolution neural network. The best performing model had an accuracy of 84% with 9 CNN layers and 3 fully connected layers. Implemented another CNN modelInceptionv4 and VGG-16 for comparison

• Developed a model utilized mammograms as input to scan for the ambiguous area of the image to predict whether input has breast cancer by seeing the size of the tumor in the scans SKILLS

• Programming Languages: Python[Object Oriented Programming], Java, C, C++, C#

• Databases: Oracle, SQL, MSSQL, JDBC, MongoDB

• Web Technologies: HTML, CSS, PHP, JavaScript, jQuery, Bootstrap

• Technologies: Git, GitHub, Django, Flask, Microsoft office suite, Microsoft excel

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