Lasya Ramesh

Contact: 224-***-**** ac4kqm@r.postjobfree.com www.linkedin.com/in/lasyaramesh

GitHub: https://github.com/lramesh1

Professional Summary

A Data Science graduate from Illinois Tech, looking forward for an opportunity in the field of data science with acquired expertise in R and Python.

Database: Oracle, SQL Server

ETL Tools: Informatica, Query Surge

Data Visualization Tools: Tableau

Data Analysis Tools: Weka, SPSS

Other skills: HTML, CSS, Java script, Jquery, Angular,js

Programming Languages: Java, C, C++, Python, R

Reporting Tools: COGNOS, Microstrategy Reports, Microsoft Excel

Web Service Testing: SOAP UI

Skills Work History

05/2016 to Current

Consultant Quality Assurance Analyst

Medline Industries Inc. –Chicago, IL

04/2014 to 08/2015

Test Specialist - ETL Testing

IBM – Bengaluru, India

03/2013 to 03/2014

Web Application Developer

IBM – Bengaluru, India

06/2012 to 01/2013

Lecturer

Fullinfaws College PUC Degree – Bengaluru, India

Education

05/2017

Illinois Institute of Technology, Chicago, IL

Master of Science in Computer Science with a specialization in Data Analytics GPA 3.40

06/2012

Visvesvaraya Technological University, Bengaluru, Karnataka, India

Bachelor of Engineering in Computer Science GPA 4

Academic coursework and Projects

Online Social Network Analysis (CS579):

1.Twitter Social Network Analysis:

Language: Python; Dataset: Twitter dynamic data collected using Twitter API.

Libraries: networkx, matplotlib,

2.Community Detection and Link Prediction

Language: Python; Dataset: Facebook “Like” Data

Libraries: Networkx, urllib, copy, math

3.Sentiment Analysis for Movie Data:

Language: Python; Dataset: IMDB movie reviews

Libraries glob, matplotlib, numpy, urllib, tarfile; packages: Scipy, sklearn.

4.Recommender system:

Language: Python; Dataset: Data from movielens project

Libraries: math, numpy, pandas, re, urllib, zipfile; packages: scipy

5.A complete OSNA project:

Language: Python; Dataset: Twitter

Libraries: networkx, matplotlib,

Advanced Data Mining (CS522):

Sentiment Lexicon Bootstrapping:

Language: Python, R; Dataset: Enron, amazon product Reviews

Analyzed existing lexicons to choose the one which gave highest accuracy.

Preprocessed Enron data, tokenized and divided the data to train and test data.

Computed correlation between Lexicon data and Train data.

Added domain specific words to Lexicon.

Improved accuracy with the test data during sentiment classification.

Data Mining (CS422):

Yelp Review Analysis:

Languages: Python, R

Preprocessed Yelp challenge data

Analyzed data through different models like SVM, Naïve Bayes

Created effective visualization for collected data

Analyzed and predicted results

Data Integration, warehousing and Provenance (CS520):

Data Integration from multiple data sources

ETL process and SQL queries to handle transformation logic

Accomplishments

Awarded Tester of the month several times by Project Manager.

Received several appreciations from the client for the dedicated work performed.

Certifications

ISTQB Certified Tester

Combinatorial test design – IBM Certified

Collaborative Defect Management – IBM Certified

Community Services

Provided service to an old age home "Faith Foundation" during the year 2013 to 2014

Voluntarily Raised fund for "Samarthanam Trust" an organization for mentally challenged children during the year 2002

Registration Chair – IEEE Smart Grid

Prepared a registration form for registration.

As a Registration Chair, I was responsible resolving registration related queries of work shop attendees.

Provided logistics to IEEE on the number of attendees to the workshop.

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