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Raamkumar Thiyagarajan

Data Science intern

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Phone:

404-518-1670

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Email:

raamki007@gmail.com 

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Address:

740 Sidney Marcus Blvd NE

Atlanta, GA 30324

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Hello! I'm Raamkumar

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I have1+ years of Work Experience at Infosys Limited. I am skilled in Python, SQL, Linux/Unix, Machine Learning, Natural Language Processing, data wrangling, and data analysis. I am actively looking for Full-time opportunities.

EXPERIENCE
EXPERIENCE
June 2020 - December 2020
Data Science intern
Trans Global Technologies, Inc

  • Working with a startup on building advanced analytics for supply chain visibility and transportation management.

  • Working on setting up Snowflake DWH, ETL into the warehouse.

  • Implemented ArcGIS to geocode the addresses and performed Geo-fencing to track and map the loads to their corresponding vehicles.

  • Performing data cleaning, data transformation on 600K+ rows of data.

  • Parsed the map data source using python to extract all the data related to interstate highway rest areas. Created a structured dataset of 1000+ records.

  • Scraped data related to all the gas stations in the USA using selenium and geocoded the address using ArcGIS to get the coordinates. Created a structured dataset of 40000+ records.

  • Access SQL database to manipulate the data, create visualization and reports to give insights about the data.

  • Accessed Google cloud to enable the Google maps distance matrix API key. Implemented ETA and distance prediction by making use of the google maps distance matrix API.

  • Performing market intelligence analysis to gain insights on competitor products.

  • Performing UAT to ensure the functionality of the product.

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October 2018 - June 2019
Software Engineer
Infosys Limited

  • Designed, Developed, and implemented process automation using python scripts of Workflows by collaborating with client Goldman Sachs to improve the efficiency of tasks done based on root cause analysis of incidents.

  • Achieved saving more than 200 hours of manual work done per month in resolving incidents for the company benefiting the organization with minimized headcount and labor costs potentially worth more than 500K USD per year.

  • Facilitated process improvement and automation by gathering data, performing data wrangling and analysis to appropriately come up with solutions to solve the problems reducing 40% time spent by experts, and is still used by the team to solve problems.

  • Directed cross-functional teams effectively solve their process-related queries that accelerated the team’s commitment and smooth working towards process automation.

  • Coached and Transferred knowledge to team members regarding the technical aspects and process management.

  • Effectively communicated the implementation process of Workflow models and findings to the team and executives.

  • Optimized models designed for process automation by identifying and analyzing incidents that were not resolved by the model in the dashboard. This leveraged effectiveness of some models to greater than 95% commitment towards incident resolution.

  • Administered the release management process using Microsoft Excel to monitor the Models being released to production by the team and computed their impact on savings of work. Held accountable for the working of those models in production.

May 2018 - September 2018
Software Engineer Trainee
Infosys Limited

  • Successfully completed 4 months of training on soft skills and hard skills.

  • Specialized conceptually and practically in using python (Algorithms, Data Structures, OOPS), SQL (Data Definition, Data Manipulation), and Unix/Linux (Shell Scripting, Access controls, etc.,) environment.

  • Achieved a top performer score of 92% in Generic Training ( Python, SQL), High performer score of 86% in Stream Training (Unix/Linux), High performer score of 85% in Soft Skills Training (Communication, Business Etiquette).

EDUCATION
EDUCATION
August 2019 - December 2020
Master's Degree
Georgia State University, J. Mack Robinson College of Business

Pursuing MS in Data Science and Analytics

August 2014 - May 2018
Bachelor's Degree
Anna University, Sri Venkateswara College of Engineering

Completed Bachelors in Electronics and Communication Engineering

SKILLS
SKILLS

Python

SQL

Machine Learning

Deep Learning

Dash and Plotly

SAS

R

Spark

Natural Language Processing

Web Scraping

Time Series Analysis

Tableau and PowerBI

PROJECTS
PROJECTS
DELL DIVERSITY DASHBOARD

Designed, Implemented, and facilitated a Diversity and Inclusion Dashboard using Dash and Plotly framework which is used by Dell Technologies as proprietary software for the analysis of Diversity and Inclusion within an organization.

HOTEL RECOMMENDATION MODEL

Scraped hotel reviews from Trip Advisor using Beautiful Soup in Python. Performed topic modeling and sentimental analysis using NLTK and Vader sentimental analyzer on reviews to determine the best features of hotels using sentimental scores associated with them to optimize hotel customer relations.

DEEP LEARNING RESEARCH PROJECT

Extracted raw texts using python from

journals over the past 10 years discussing

licensing agreements between companies.

Analyzed and Preprocessed the text data

by performing stop word removal,

lemmatization, keyword match. Using the

data set, implemented various machine

learning models like Random Forest,

Decision Tree, Logistic Regression, XGB

Classifier, Support Vector Classifier (SVC),

and deep learning models like Recurrent

Neural Network (RNN) using LSTM to train

and classify the text. Achieved an accuracy

of 83% in classifying the texts. Validated the

accuracy using 10 fold cross validation.

CONTACT
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