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Data Assistant

Location:
Montreal, Quebec, Canada
Salary:
50000
Posted:
March 25, 2019

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Resume:

www.linkedin.com/in/shubhamkalsi https://shubhamkalsi241095.github.io/

https://github.com/shubhamkalsi241095

Shubham Kalsi

p. 438-***-****

E. ac8wcb@r.postjobfree.com

Education

McGill University 2017-Present

Master of Information Studies (Information and Communications Technology)

Guru Gobind Singh Indraprastha University 2013-2017

Bachelor of Technology, Electronics and Communications

Special Skills

Python SQL Tableau Goggle Analytics Tableau

Cypher JavaScript Java RStudio HTML5

CSS Neo4j Keylines Machine Learning Data Mining

Experience

National Research Council Canada Jan 2019-Present

Intern

• Created nodes from a heterogeneous dataset and then build relationships with different nodes to accomplish a heterogeneous connection and to visualize graph database to uncover hidden patterns in the dataset using different filters such as combos.

• Worked with programming languages like JavaScript, JSON, and Ajax to join the dots in data and to employ layouts(combos) to de-tangled complex data.

• Filtered given data using Postgre SQL to use for visualization, revealing threats and hidden insight.

Data Mining and Security Lab, McGill Jan 2019-Present

Research Assistant

• Classified Malware files of various portable executable using multi naive bayes classifier in python.

• Improved the accuracy of the same model by using a deep neural network classifier with different features extracted from binaries.

• Achieved better accuracy with less run time compared to the paper reproduced.

Cerri Collaboration Platform May 2018-Sep 2018

Intern

• Created new web pages using HTML, JavaScript, and CSS on Cerri’s Website.

• Worked alongside marketing team and performed tasks like competitive analysis, and web design.

• Hands-on experience with Photoshop and InDesign to create logos for Cerri.

Projects

Predictive Analysis Jan 2019-Present

• Presented a project on advanced data analytics techniques (Deep Learning) with the dataset collected from Kaggle.

• Applied various techniques such as back propagation. forward propagation, cart, random forest on py-

thon using Spyder.

Database Design Jan 2018-Apr 2018

• Created a database for a courier service and delivery company using Postgre SQL.

• Understood the relationship (one-one, many-many, one-many) and joins between various tables (RDBMS).



Contact this candidate