About Me

A University of Georgia: Terry College of Business Alumni and Georgia Institute of Technology Coding BootCamp future graduate with extensive experience in intricate Information Systems technology, software development, and strong business background • Junior Level Software Developer and Engineer with experience in Full Stack Web Development (MERN Stack) with intermediate expertise in “Object Oriented Programming” • Technical knowledge of Python, SQL, Java, Scala, NoSQL, Hadoop Ecosystem, Cassandra, MongoDB, C#, and R in relation to Data Science and Engineering for Business Intelligence (BI) in Machine Learning (ML) and Artificial Intelligence (AI) • Enjoys designing and programming software utilizing Javascript, CSS, HTML5, Angular.js, React.js for Front-end and Back-end software development, and in professional environments, I have been recognized as being able to quickly adapt to new situations and technologies • I am adept at quickly prototyping concepts using a wide range of tools and new technologies and I take pride in my passion for personal growth and development conjoined with an above average worth ethic.

Contact Details

Dhruv Patel
Atlanta
GA 30083 US
(706) 988-8598
darup67@gmail.com

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Education

UGA

University of Georgia

Bachelor of Business Administration in Risk Management & Insurance • May 2017

Pi Sigma Epsilon and Gamma Iota Sigma Academic Fraternities • Indian Cultural Exchange • Relay For Life • Society for Management Information Systems • Intramural Soccer & Basketball participant • Zell Miller Scholarship Recipient

GA Tech

Georgia Institute of Technology

Certificate in Full Stack Web Development • May 2019

Computer Software Engineering • Full Stack Flex "MEAN Stack" (MongoDB, Express.js, Angular.js, Node.js) • React.js • jQuery • MySQL • Google Firebase • Heroku Server Side Deployment • SQL • Java • C# • Handlebars • Amazon Web Services (AWS)

Work

Compliance.ai

Data Engineer | Machine Learning Developer • Sept 2017 - Feb 2018

Injected IT architecture governance strategy into full project lifecycle through well-defined engagement points for infrastructure team, guidance, facilitation, contribution, impact assessments, and alignment reviews. • Utilized MS Excel, C++ (C#), Python, Hadoop, MongoDB, Cassandra, NoSQL, SQL, R, and Machine Learning methodologies to simplify large data structures, clusters, and organizational processes for fellow colleagues and teammates • Analyzed raw data, documents, and scattered information to come to a clear and coherent decision based on Ad Hoc search algorithms and syntax • Assisted in the first phases of Compliance.ai structuring as a fairly new “start-up” and was a part of the initial team set forth to organize all data for Artificial Intelligence (AI) and Machine Learning (ML) developments • Worked on organizing extremely complex data patterns, documents, and statements numbering in the thousands • Gained first-hand experience in a "Start-Up" environment in the "RegTech", PaaS, and Saas fields

LexisNexis Risk Solutions

Data Scientist | Healthcare Special Investigations Unit Intern • June 2016 - Aug 2016

Worked on LexisNexis proprietary software and various other software applications such as, but not limited to Apache POI, MS Excel, MS Word, MS Access, MS Outlook, C#, Java, Scala, Python, Hadoop Ecosystem, Cassandra, and MongoDB • Processed large amounts of raw data into a meaningful context for healthcare clients • Pin-pointed Fraud, Waste, and Abuse “FWA” type of claims to be reported back to healthcare entities and clients • Developed reports upon analyzing claims data for client engagement • Organized client meetings with the department for following up on status purposes and to gather more client data and information • Developed structured query language “SQL” scripts for data analysis using LexisNexis proprietary software applications • Strategically helped developed a “Fund Recovery” plan for clients to utilize a step-by-step to recover funds on a timely and efficient basis

State Farm Mutual Insurance Company

Actuarial Analyst | Intern • June 2016 - Aug 2016

Utilized Computer Information Systems (CIS) statistics properly engineer policies and record client feedback, comments, requests, and future outlook of claims per customer • Generated analytical and statistical based policy measures to mitigate, and prevent major risks for best policy practices to maximize revenue streams • Properly implemented customer quotes resulting in insurance sales daily • Overlooked accounts exceeding 15,000 dollars for miscalculations, disparities, and general risk in claims data • Prioritized and arranged customer’s specific needs to accomplish a stabilized insurance quote for the insured goals • Marketed and monitored outbound and incoming phone calls for customers seeking insurance • Amended policies accurately for proper insurance premium modifications

Tech Stack

  • Javascript
  • React.js
  • MS Office Suite
  • CSS
  • HTML5
  • jQuery
  • Adobe Creative Suite
  • Mean Stack (MongoDB, Express.js, Angular.js, Node.js)
  • SQL, NoSQL, MySQL, PostgreSQL
  • C#
  • C++
  • Python
  • ASP.NET
  • Kubernetes
  • Hadoop Hive & Apache

TECHNOLOGICAL SKILLS {knowledge}


Languages

Frameworks/Libraries

Technologies

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