Java, Python, Hadoop Mapreduce, SQL, Pig, Hive, Data Science skills

Snehaa Ganesan Email : ******@***.***

https://github.com/SnehaaGanesan Mobile : +1-929-***-****

EDUCATION

New York University Tandon School of Engineering New York, NY Master of Science in Computer Science; GPA : 3.14/4 May 2018

Vellore Institute of Technology Vellore, India

Bachelor of Technology in Computer Science and Engineering; GPA : 8/10 May 2016 SKILLS

Programming Languages known: Java, C/C++

Scripting Languages known: Python, SQL, PHP, JavaScript

Big Data: NoSQL, Cloudera QuickStart VM, NYU HPC, HDFS, Hadoop MapReduce in Java and python, Pig latin, Hive HQL

Data Science: Exploratory analysis, Predictive analysis using forecast and machine learning techniques in Python using Numpy, Pandas, Scikit-Learn, Scipy, Matplotlib, Seaborn, Plotly libraries

Additional skills: HTML, CSS, Embedded Systems Programming in C, Socket Programming in python

Tools: Eclipse, Jupyter Notebook, VirtualBox, Docker, MySQLWorkbench, MAMP, Wireshark SELECTED PROJECTS

Identifying Playing Cards May 2018

Developed in python using computer vision techniques

Studied the similarity between cards as a heat map of their similarity matrix for insight

Steps involved image smoothing, edge detection from edge map to extract the boundaries of the card, identifying objects using hough transform and nally, template matching

Two approaches were used and compared for accuracy and speed, rst used the whole card as templates, and second approach used the number and the suite of the card and parsed them separately for a 2 step template matching.

Jobster - Job posting and recruitment website May 2018

Implemented using PHP and MYSQL for back end, HTML and CSS for front end

Modeled a ’linkedin’ like job posting and recruitment website, with functionalities such as - Company and User log in, Job postings by companies, friend requests among users, follow request to companies, applications to jobs, timely noti cations, job recommendation, users uploading multiple resumes, etc.

Steps involved nalizing features, modeling the relational database, normalization of the database model created, and implemented and integrated the back end and front end using MAMP

Augmented security provisions against SQL injections, cross site scripting, code injections, and incorporated password hashing for added security

Mass Shootings in USA Data Analysis and exploration in python December 2017

Preprocessed the dataset for use - data cleaning, feature engineering, feature selection

Performed exploratory analysis of the dataset to gather insight

Determined the relationship between gun ownership and incidents from correlation analysis

Modeled a decision tree classi er for incidents’ classi cation by weekday/ weekend days, and another for the prediction of mental illness of shooters

Forecasted the number of incidents for the following year using Time Series Analysis - Weighted Moving Average ARIMA Model

EXPERIENCE

Interned at HQ CWE in Military Engineering Services (MES, Meerut, India) December 2015

Developed a backend database system using MySQL for the documentation and upkeep of o ce HR records

Modeled and implemented the relational database and imported HR data

Performed queries as part of the duties for access and modi cation of employee details EXTRA CURRICULAR AND ACCOMPLISHMENTS

Mentor in NYU WoMentorship Program Fall 2017

WoMentorship is a semester long program with a goal of building a supportive environment of and for women.

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