Belwood Data Science

KHIRAN KUMAR CHIDAMBARAM SIVARAMAN

Career Objective

Team-oriented graduate seeking a job with strong data management and collaboration ability. Big Data, Machine Learning, Data Management and Data Structures and Algorithms are a few of the courses I've completed. Responsible and dedicated individual with strong programming skills pursuing a Master's Degree in Data Science.

Contact

**********@*****.***

********@****.***

+1-443-***-****

4759, Belwood Green,

ARBUTUS, MD 21227

https://www.linkedin.com/in/khiran-/

Education

MPS( Data Science)

University of Maryland Baltimore County

Baltimore, MD, USA Dec 2022

B.Tech (Mechanical Engineering)

SRM Institute of Science And Technology

Chennai, India May 2020

Certifications

Regression Models

John Hopkins University - July 2020

Getting and Cleaning Data

John Hopkins University - July 2020

Introduction to Probability and Data

Duke University - July 2020

Introduction to Data Science and

Machine Learning

NIEIT- June 2020

R Programming

John Hopkins University - May 2020

Python Basics for Data Science

IBM - April 2020

CAD using CATIA

AU-FRG Institute for CAD/CAM

June 2019

Skills

• C++ • Python (Scikit-learn, NumPy,

Pandas, Keras, TensorFlow)

• R • Apache Spark

• Apache Hive • MongoDB • SQL • Pyspark

• MS Office • Google BigQuery • CATIA

Training Experience

NLC India Limited - 06/17/2019 to 06/22/2019

Hwashin Automotive India Private -

Limited

06/18/2018 to 06/30/2018

Projects Completed

MPS (Data Science)

(i) Chicago Taxi Usage Analysis

Analyzed the Chicago taxi trips for taxi usage predictions prior to and during Covid-19 using Random Forest and Decision Tree.

(ii) Pizza Ordering System using Python – (for Data Structures and Algorithm course)

Developed a database that allows customers to customize and place pizza orders from their favourite store based on their preferences and analyzed the complexity of ordering the customized pizza using search algorithms.

(iii) A Comparative Evaluation of Sentiment Analysis in the case of Covid-19 Tweets

Sentiments of Covid-19 tweets in India were assessed using Logistic Regression, Naïve Bayes, LSTM, and the Attention model.

(iv) Analysis on Impact of Chicago Taxi Trips prior and during Covid- 19

Taxi trips in Chicago were examined prior and during Covid-19 using Python libraries and MongoDB.

B.Tech (Mechanical Engineering)

(i) Neural Network Analysis of Heat Pipe using Hybrid Nano Fluids Python, Keras and TensorFlow were used to predict heat pipe output.

Extracurricular

SRM Institute of Science andTechnology – Chennai, India

• Organizer

National Level Technical Symposium KRATORQ19 - Oct 2019 Publications

K. Kumararaja, C. S. Khiran Kumar& B. Sivaraman (2021) A Convolutional Neural Network Analysis of a Heat Pipe with Hybrid Nanofluid, International Journal of Ambient Energy (Taylor and Francis), DOI: 10.1080/01430750.2021.2014959

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