ROHAN CHAUDHARI

240-***-**** ● College Park, MD-20740 ● adhp5t@r.postjobfree.com

www.linkedin.com/in/chaudharirohan https://github.com/rohanchaudhari SUMMARY

Graduate student with a passion for data processing and predictive modeling in Python and R. Seeking to leverage strong professional background in cloud solutions and analytics in a Full-time Applied Data Science role EDUCATION

University of Maryland College Park College Park, MD, USA Master of Information Systems December 2020

GPA- 3.67/4

University of Mumbai Mumbai, MH, India

Bachelors in Electronics Engineering May 2019

GPA 8.92/10; Ranked 1st out of 80 students in Electronics department SKILLS

● Programming Languages– Python, R, C, SQL

● Tools/Frameworks– Git, Linux, Tableau, MS Excel, Power BI, PySpark, Pytorch, Keras, TensorFlow, Hadoop

● Machine Learning– Linear/Logistic Regression, Neural Networks, Clustering, Decision Trees, Text Mining, Computer Vision

● Database/Computing – MS-SQLServer, MySQL MongoDB, AWS

● Python Packages– Scikit-Learn, SciPy, Numpy, Pandas, Matplotlib, Seaborn, BeautifulSoup, ScraPy

● AWS Services– S3, EC2, API Gateway, Sagemaker, Hive, Athena, DynamoDB, Redshift, EMR, Glue PROJECTS

Airbnb Data Analysis January 2020- April 2020

Explanatory and Predictive analysis of Airbnb listings in Chicago Airbnb-Report

● Designed machine learning models in R using algorithms- ElasticNet and Decision Trees to predict booking rate of 25K Airbnb properties

● Classified Airbnb rentals based on booking rates(high/low) with 94% accuracy on 30% test data

● Created visualizations and documented analytical findings using ggplot2 package in R to suggest risk-averse business recommendations Emergency Vehicle Classification November 2019- January 2020 Classifying vehicle images into emergency or non-emergency vehicle category Vehicle-classification

● Trained and deployed a CNN ResNet50 image recognition model in python to classify images

● Implemented hyper-parameter tuning and Adam optimizer-back propagation to achieve 75% validation accuracy on 30% split Stock Analysis September 2019-November 2019

Predicting stock market performance using Python StockAnalysis-Report

● Conducted time series analysis using Scikit-Learn package on historical stock data of companies- Apple, Amazon, Google, and Microsoft

● Programmed Auto Regressive Integrated Moving Average model with 90% accuracy to predict company’s stock value

● Created time series visualizations using heatmaps and candle-plots in Matplotlib & Seaborn to derive insights on company’s stock value CyberCharge September 2019-December 2019

Designing Database Management System for University of Maryland Electric Vehicle Charging System using SQL

● Created database schemas and tables for managing electric vehicle charging stations where user can store, view and manipulate data

● Formulated business transactions, created Entity Relationship diagram, and performed normalization

● Created Tableau dashboards to visualize most popular electric vehicles, and revenue generated by each charging station PROFESSIONAL EXPERIENCE

Futuralis Bethesda, MD, USA

Solutions Architect Intern July 2020- Present

● Consulted customers to design cost effective data specific solutions using AWS services such as- S3, EC2, Glue, DynamoDB

● Collaboratively administered full-stack development and testing of WebApps meant for seamless data integration

● Gained hands-on experience developing RESTful APIs for end-to-end server-less applications using HTML/CSS/JS, JavaScript

● Researched on data management & governance industry space to find market gaps & gain insights about emerging trends in data services

● Documented industry standard business development report, analyzed data market space & presented findings to investors CERTIFICATIONS

● AWS Certified Machine Learning Specialty Pursuing

● AWS Certified Solutions Architect- Associate June 2020

● Neural Networks and Deep Learning December 2019

● AWS Data Analytics Fundamentals November 2019

● Business Strategy from Wharton Online: Competitive Edge & Connected Strategy October 2019

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