Data Analyst

Objective

Computer Science Graduate seeking full time employment in Data Science field, that will utilize and further enhance my knowledge of IT, along with advancement opportunity. Also willing to relocate.

Work Experience

Computer Science Graduate Teaching Assistant, College Of Liberal Arts and Sciences (NIU) Dekalb, IL

CS340 Advanced Data Structures and Algorithms in C++ August 2019 – May 2020

CS241 Intermediate C++ January 2019 – May 2019

Computer Lab Attendant, Dean’s Office - College Of Business (Barsema) NIU August 2018 – December 2018

Tata Consultancy Services Bangalore, India

Role: Data Analyst July 2016 - August 2018

Client : SAP SE

This position involves Analysing the data, visualizing and reporting insights, working and building models, regular sprint, agile meetings, updating status quo, continuous interaction with client in explaining the solution, discussing pros and cons through Skype calls and emails. Also involves weekly team meetings and discussions.

Technologies :

Python, Jupyter, Pandas, Numpy, Anaconda, SciPy, Tableau, SQL, Excel

Education

Northern Illinois University August 2018 - May 2020(Expected)

Masters in Computer Science, GPA 3.79

- Course work : Data Visualization, Python, Java, DataBases, Neural Networks with Machine learning, Big Data Analytics

RVR & JC College Of Engineering August 2012 - May 2016

Bachelor of Technology in Computer Science, GPA 4.0

- Course work : Design and Analysis of Algorithms, Data Structures, Cloud computing, Computer Networks,

Artificial Intelligence

Technical Skills

Programming Languages

C, C++, Java, Python, JavaScript, PL/SQL, .NET(C#), d3.js

Database

MySQL, Unix

IDE

Eclipse, NetBeans, Atom, Jupyter Notebook, Microsoft Visual Studio, Google Colab

Tools

Tableau, Rational Rose Enterprise, Git, tensor flow

Cloud

AWS Certified Cloud Practitioner

Academic Projects

Reddit Application Fall 2019

Developed interactive console and form applications which is very much similar to reddit application.

Technologies:

Dot net (C#), Microsoft Visual Studio

Classification of Data Fall 2019

Dividing sample data into training and testing data set and applying linear and logistic regression, LSTM and other algorithms to classify data and predict labels correctly.

Technologies:

Python, Jupyter Notebook, Tensor flow, Keras, Google Colab

Visualizing Enrolment data of Illinois state universities Spring 2019

Collected raw data of all Illinois university enrolment data, cleaned and visualized in order to get insights of trend and financial stability of universities.

Technologies:

Python, Jupyter Notebook, Tableau

Bike Share Analysis Spring 2019

After cleaning and analysing around 10 years of Nice Ride bike of Minneapolis, shown some trends of usage and memberships through visuals.

Technologies:

Python, Jupyter Notebook, Tableau, d3.js

Visualizing Weather Data Spring 2019

Importing raw data from London Weather Authority to clean, format and visualize it. Pandas Dataframe to manipulate data to obtain relevant observations, Numpy to perform operations and Tableau to finally visualize it and draw conclusions.

Technologies:

Python, Jupyter Notebook, Tableau

GUI using JFrame to demonstrate different Sorting Algorithms Fall 2018

Developed a GUI Application to demonstrate the graphical representation of sorting algorithms (Bubble, Heap, Quick, Selection and Insertion Sort) with options to decide order and type of sort, start, stop and pause actions.

Technologies:

JAVA, Java Script, Eclipse IDE

Application to Parse US Census Data to Database Fall 2018

Developed C++ application to parse US Census data to database from Bound file and RTC file. Implemented the application with a command line input UI that dynamically loads the Census data files and prompts user to push the content that has been parsed from the file into PostgreSQL database on the type of region data.

Technologies:

C++, Linux, PL\SQL

Visual Object Tracking Using Local Steering Kernels and Color Histogram Spring 2016

A visual object tracking framework, which employs an appearance-based representation of the target object, based on local steering kernel descriptors and color histogram information. This framework takes as input the region of the target object in the previous video frame and a stored instance of the target object, and tries to localize the object in the current frame by finding the frame region that best resembles the input.

Technologies :

Matlab, Python, Jupyter Notebook

E-Commerce Website Fall 2015

The Online Shopping is a web based application intended for online retailers. The main Objective of this application is to make it interactive and its ease of use. It would make Searching, viewing and selection of a product easier. It contains a sophisticated search Engine for users to search for products specific to their needs.

Technologies :

Rational Rose Enterprise(UML Design), HTML5, CSS3, Java Script, MySQL, PL\SQL

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