Ramanpreet Kaur

Canada

+1-705-***-**** / adfzht@r.postjobfree.com

Profile

Data Analytics Graduate student with proficiency working on data exploration, data mining and data visualization techniques, with persistency and willingness to learn and apply new techniques and tools. Experience

Systems Engineer – Tata Consultancy Services Limited, Hyderabad, India Responsible for development of software applications in Mainframes Technology for CITI bank account. Developed the functionality in the existing CITI system to migrate around 30 million AMEX-COSTCO cards into the CITI COSTCO Anywhere Visa Cards, using COBOL, CICS and JCL languages. Awarded with "Star Player of the Team" and "TCS Gems" Awards for my contribution to the project. 03/2015 – 07/2017

Project Intern – IBI Biosolutions PVT. Ltd., Panchkula, India Title: "In silico Modelling and Docking Analysis of ‘ftsz’ protein of Tetanus Disease" Used molecular modelling and docking algorithms to predict the biological activity of the protein(enzyme) through the evaluation of binding interactions between proteins/ligands and the target binding sites. Used software tools such as AutoDock, BLAST to study different protein data sets from the NCBI and the ZINC database. 06/2012 – 07/2012

Data Analytical Skills

Skilled at analysing data at large scale using distributed computing tools such as Hadoop, Hive, Spark. Deep understanding of database, table design, joins, data extraction, data validation, etc. Adept at performing basic statistical and regression analysis. Familiar with working in cloud environments like AWS, Microsoft Azure. Proficient in executing machine learning algorithms (Data Classification and Clustering techniques). Programming Languages

Python - R - SQL - COBOL - C++

Projects Undertaken

COVID-19 DataSet Analysis

Gathered COVID- 19 cases' data to analyze the spread trend of the coronavirus all over the world. Used python libraries such as Pandas, Numpy, Keras, Plotly and Matplotlib for data prediction and visualization. AirBNB Listings for Seattle Region Data Set Analysis Used machine learning algorithms (K-means clustering, Decision Tree techniques etc) to predict the price of the house/apartment listings in Seattle region using Python language(Scikit-learn library). Twitter Data Analysis

Performed sentiment analysis on Twitter data to understand people's opinion on a trending hashtag using Dplyr and ggplot libraries in R language.

Education

Trent University, Peterborough, Canada – Master of Science MSc. Big Data Analytics - CGPA: 8.2/10

2019 – 2020

Thapar University, Patiala, India – Bachelor Of Technology B.Tech Biotechnology - CGPA: 8/10

2010 – 2014