Software Developer Machine Learning

Abhilash Tsavalam

• Irving, Texas • ad5qb6@r.postjobfree.com • 945-***-****

• www.linkedin.com/in/abhilash-tsavalam-3326061a9

Objective

A results-oriented software developer with 5+ years of corporate experience seeking a dynamic and collaborative role in an organization to contribute to its success and growth while pursuing personal and professional development opportunities. Education

Master’s in Data Analytics, University of North Texas, Denton, Texas (January 2023–May 2024 (Expected) -3.87/4) Master’s in Business Administration, NMIMS, Mumbai, India (May 2020-May 2022 – 3.3) Bachelor of Technology in Computer Science, Gitam University, India (June 2013 – June 2017 - 3.34/4) Experience

Associate Software Developer, Uber, India October 2019-November 2022

• Developed and optimized the backend technologies for Uber's connect platform, making a significant contribution to increased performance and scalability.

• Developed and worked on synchronization and locking mechanisms to avoid clashes between bookings.

• Developed a prototype of predictive models for dynamic pricing and demand forecasting by using machine learning techniques like decision trees, random forest and neural networks.

• Focused on refactoring tactics and thorough code reviews which improved the code quality and reduced bugs by 20%.

• Worked on implementing automated testing strategies which resulted in lesser bugs.

• Gained hands on experience on Docker for containerization, Agile methodologies, and Jira. Software-Remote Associate, Amazon, India November 2018- October 2019

• Understood and adhered to Standard Operating Procedures as a part of the maintenance team.

• Migrated the data to relational data tables and optimized legacy SQL queries which increased the performance by 20%.

• Developed a machine learning model to detect security vulnerabilities like missing input validation, missing output escaping, missing null values and code cloning using Recurrent Neural Networks.

• Reduced the average time of resolution by 25%, by identifying and fixing software problems using methodical debugging and root cause analysis approach.

• Understood performance metrics and been a part of on-call rotations to work on critical production issues to drive business results in live environment.

• Maintained high software reliability by promptly resolving bugs and issues. Software Developer, Teach Global, India June 2017– June 2018

• Developed announcement dashboard in the virtual learning application for pharmacy students using React and RESTful API’s.

• Cleaned up the existing code for grade book feature and refactored it in MVC architecture.

• Wrote Unit tests and Confluence docs for refactored code.

• Worked in an agile environment and gained hands-on experience on scrum process, backlog refinements, retrospectives, and plannings.

Intern, Hewlett Packard Enterprise (HPE), India May 2016-July 2016

• Gained hands on knowledge regarding the implementation of algorithms like Dijkstra's, TCP etc. and gained insights on user interface design, unit test cases and worked on networking project. Skills

Languages: Python, C#, Java, C, C++, .Net, Java Script, React, HTML, Angular, CSS, SQL, Node.js Tools: Visual Studio, Eclipse, NetBeans, Jenkins, Anaconda, SQL Server Management Studio, Anaconda, PowerBI, Tableau, UFT, MS office suite, Git, JIRA, PL/SQL, Docker, NLP libraries. Course projects

Bank Marketing Analysis Report: (University of North Texas 2023)

• The problem statement aims to identify key factors for successful marketing campaigns in a banking institution using data-driven insights. The methodology involves data collection, preprocessing, EDA, predictive modeling, and model evaluation on the Bank Marketing Campaigns dataset. Practical recommendations include targeting specific demographics, optimizing campaign parameters, and aligning strategies with economic indicators to improve marketing effectiveness.

Real-Time Detection of Traffic from Twitter: (Gitam University 2017)

• Worked on a real-time monitoring system for traffic event detection from Twitter stream analysis. The system fetches tweets from Twitter according to several search criteria; processes tweets, by applying text mining techniques; and finally performs the classification of tweets.

Achievements

• Yellow belt certification in Lean six sigma

• Certified as “Microsoft office specialist” by Microsoft.

• Won MVP of Hackathon in Uber.

• Won Golden ticket award In Uber.

• Won Top performer of the Team award in Amazon.

• Won Star of the Week for top performance in HP during an internship

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