Office Assistant Data Analyst

Nithin Sunil

Charlotte, NC *****

Phone: 484-***-**** Email: ********@*****.***

LinkedIn: www.linkedin.com/in/nithinsunil Github: https://github.com/ns102030

Summary

Data Analyst with a B.S in Economics and background in statistics, mathematics, and computer science. Skills in Excel, VBA, Python, SQL, MongoDB, and Tableau from UNC Charlotte’s Data Analytics and Visualization Bootcamp. Uses the resources available to find the most efficient solution to a task at hand. Enjoys using data to uncover new insights and communicate stories through the use of interactive visualizations. Effectively combs through large datasets using SQL and MongoDB and explores interesting topics of analysis.

Technical Skills

Tools: Microsoft Excel, VBA, Python, Pandas, NumPy, SQL, NoSQL, JSON, HTML/CSS, Beautiful Soup, JavaScript, D3.js, Plotly, Leaflet, R, Tableau, Apache Hadoop, Amazon AWS, Machine Learning, GitHub, Big Data, Statistics

Databases: MongoDB, Postgresql

Other: Flask, Git, Command Line

Education

University of North Carolina, Charlotte, NC

Data Analytics & Visualization Certificate 2020

A 24-week intensive program focused on gaining technical programming skills in Excel, VBA, Python, R, JavaScript, SQL Databases, Tableau, Big Data, and Machine Learning.

University of Pittsburgh, Pittsburgh, PA

Bachelor of Science; Economics

Projects

DC Crime Analysis https://github.com/iraismgarcia5/Project1_DC_Crime_Analysis

●Created a detailed analysis of crime in D.C between 2009-2019.

●Visualized the deadliest days, months, years in D.C using bar graphs in Matplotlib

●Listed the deadliest areas of DC

●Excel, Python, Pandas, Matplotlib

CO2 Emissions https://github.com/iraismgarcia5/ETLProject

●Analyzed changes in CO2 emissions, Population, GDP, etc. by country from 1960-2015

●Formatted the two datasets used so that they could be joined in SQL for analysis

●Excel, PostgreSQL, Pandas, Beautiful Soup

Car Crash Data https://github.com/marc-haddad/final-project

●Predicted the probability of a car crash given weather conditions, substance abuse, etc.

●Determined the model to be used as the machine learning algorithm

●Python, Pandas, Sklearn, Matplotlib

Experience

Office Assistant 2018 – 2019

UPMC Children’s Primary Care Center Pittsburgh, PA

●Tripled data entry productivity and improved accuracy using keyboard shortcuts and VBA code.

●Effectively developed and implemented an inventory process improvement which improved work productivity and efficiency.

●Leveraged office efficiencies by measuring office procedures which increased productivity.

Office Assistant June 2018

Architectural Polymers Palmerton, PA

●Responsible for overseeing payrolls and poring through hundreds of financial transactions.

●Received and screened a high volume of internal and external communications, including mail and email.

●Kept an inventory of office supplies and ordered new materials in a timely manner.

●Managed office area which included greeting visitors and responding to phone calls and in-person requests for information.

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