Pawan Ramaswamy Last Updated on *th September ****

Email - adbat2@r.postjobfree.com Contact - +91-831******* EDUCATION

NIT HAMIRPUR

B. TECH IN COMPUTER SCIENCE

May 2017 - present Hamirpur, India

College of Engineering

CGPA: 8.15 / 10

COURSEWORK

UNDERGRADUATE

Probability and Queuing Models

Discrete Structure

Computer Graphics + Practicum

System Software

Microprocessor and Interfacing

Digital Electronics

Computer Architecture + Practicum

Object Oriented Programming +

Practicum

Data Structures and Algorithms +

Practicum

Operating Systems + Practicum

Compiler Design

SKILLS

PROGRAMMING

C • C++ • Python • Javascript

R • Latex

WEB DEVELOPMENT TOOLS

Flask • HTML • CSS • Bootstrap •

Socket-IO • MySQL

OTHER TOOLS

Open Source Software • Jupyter

Notebook

ACTIVITIES AT ACADEMIC INSTITUTIONS

PARTICIPANT SOFTWARE FREEDOMDAY

September 5th On Campus

• Helped students realise the usefulness of Open Source Software and installed different Linux distros on laptops.

HACKATHONS

March 2017 NIT Hamirpur

• During our participation the first iteration of the hackathon, created a hospital management system with the help of HTML, CSS, PHP and MySQL.

• In the following year, me and my team created a Study Buddy with the help of NodeJS, MongoDB, HTML, CSS, EJS, Socket-IO.

TECHNICAL PROJECTS

DATA CAPSTONE PROJECT

This project focuses on data analysis and data visualisation on 911 data provided to us. Important python libraries such as Numpy, Pandas, Matplotlib and Seaborn were used to plot and analyse data. Jupyter Notebook was the web application used to write all required code.

ECOMMERCE (WEB VS APP) PROJECT

This project focused on implementing Linear Regression across data to predict some coefficients to solve the given problem. Jupyter notebook was the web application used to write all code and perform necessary actions. The libraries used were Pandas, Numpy, Matplotlib, Seaborn.

TITANIC DATA SET EXPLORATION PROJECT

Titanic data set is a classic example of Logistic Regression and the project focused on implementing machine learning on the given data set and check the accuracy of the solution and compare it with the original data through the use of a confusion matrix. Initial data analysis and visualisation was done with the help of Pandas and Seaborn. K NEAREST NEIGHBOURS ALGORITHM

KNN or K Nearest Neighbours is a unique algorithm that is applied on classified data, ie: we do not know the origin of the data, no column names, no characteristics, basically we do not know anything about the data given to us, just a series of random numbers, and our goal is to classify the given point. This project was also completed with help of a given unknown data set, and a confusion matrix was used to evaluate our result.

STUDY BUDDY FOR YOUR OWN CAMPUS

Created a project for a hackathon using some common technologies with some of my peers. This project aims to help students find all resources on campus and also establish communication with everyone else on campus. The technologies used in this project were, NodeJS, EJS, Mongo DB, Socket-IO, HTML, CSS and Bootstrap.

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