Summary

Overview

Work History

Education

Skills

Additional Information

Timeline

DHRUVI P PATEL

Software Engineer

Arlington,TX

Summary

Enthusiastic Software Engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of development . Motivated to learn, grow and excel .

Overview

year of professional experience

Work History

Web Developer

The University of Texas at Arlington

05.2021 - 12.2021

Tracking and resolving end user requests to handle web publishing and content management, primarily using the WordPress CMS, HTML 5, CSS, Bootstrap and JavaScript
Worked with Sitecore and Cascade in the course of project work
Updated and maintained dynamic websites(https://www.uta.edu/) for University of Texas at Arlington
Solved Potential issues on Siteimprove to increase the Accessibility of websites by 75%.

Software Engineering Intern

TWG Companies

02.2021 - 05.2021

Developed new features and scalability by re-architecting 20% more efficient and reusable code for the system
Conceptualized and spearheaded the website backend database architecture for a social media platform
Created the infrastructure and logic on AWS and serverless for storing the data
Tools used for front end: React, Node.js, GraphQL, Angular and Typescript.

Data Analyst

Kalachandji’s

08.2020 - 02.2021

Use Agile methodology throughout the project and involved in weekly and daily bases release management
Working with SciPy, NumPy, Matplotlib for developing various algorithms
Created an Analysis tool using Excel, Power Pivot loading millions of rows of data to Excel from SQL
Used and maintained database in MS SQL Server to extract the data inputs from internal systems.

Education

Master of Science - Computer Science

The University of Texas At Arlington

Arlington, TX

01.2020 - 12.2021

Bachelor of Engineering - Computer Engineering

Gujarat Technological University

06.2015 - 05.2019

Skills

Programming Languages and Operating Systems: Python, Java, C, C, Windows, Linux

Database Technologies: MySQL, MongoDB, RDBMS

Tools, Frameworks and Platforms: Git, Wireshark, NodeJS, jQuery, Django, Flask, SaaS, Docker, JUnit TestingLibraries and Web Technologies: ReactJS, TensorFlow, Tesseract, Pandas, NumPy, Matplotlib,NLTK,OpenCV, REST APICloud Technologies: AWS EC2 ,Lambda, S3, Azure, GCP, GitLab, GithubMachine Learning Algorithms: Linear Regression, Logistic Regression, K-Nearest Neighbors, Decision Trees, Random Forests, Bagging, Gradient Boosting, Support Vector Machines, K-Mean Clustering and Principal Component Analysis

Additional Information

Loan Prediction Analysis:

· For classification of Loan eligibility, XGBoost, Random Forests classifier, Logistic Regression model, Support Vector Machine (SVM), and KNN algorithm were used, and React.JS was used to create the webpage interface.

· The study focused on finding the best classifier for predicting the loan eligibility process based on customer details provided. Pandas for data analysis and manipulation, Matplotlib for graph displaying, NumPy for array operations, and NLTK for symbolic and Statistical natural Language processing were all used.

Map/Reduce & Query Processing

· Using IMDB datasets to extract the sum of desired data, a map/reduce program was developed.

· Analysis was conducted on the data collected using Java and Hadoop.

· SQL queries were produced to collect data meeting the me criteria as before and the query plan was evaluated.

Earthquake Analysis Application

· Designed a Python-flask based application to perform Earthquake Data analysis using several classification parameters according to place, time, frequency, and magnitude to determine the historic timeline of data.

· Used concepts such as K-means analysis, clustering, and outliers to find detail classification of data. Used Flask for front-end data inputs and utilized google charts for data visualization.

· Hosted the application on cloud platforms such as AWS (used EBS, Redis, MySQL), Azure (MySQL, CloudWatch), IBM Bluemix. Also used auto-scaling features to improve productivity. Also Tested the network traffic through Apache JMeter.