SUPRIYA DHAMAPURKAR

Seattle, WA, United States.

+1-781-***-**** ad1bkg@r.postjobfree.com LinkedIn

OBJECTIVE

Results-oriented and collaborative Software Engineer with over 3 years of experience specializing in software development, cloud platforms, and DevOps. Adept at leading teams, contributing to coding initiatives, and streamlining automation processes to enhance system efficiency.

Seeking a challenging role at that enables me to leverage my wealth of experience and proficiency in software engineering, quality assurance, agile practices, and data pipelines for a forward-looking and dynamic company.

EDUCATION

University Of Massachusetts, Lowell Lowell, MA, USA

Master of Science in Computer Science September 2021- May 2023

TECHNICAL SKILLS

●Operating system: Window, Unix, Linux

●Programming language: Python, Go, Java, C#, JavaScript, SQL Queries, MySQL, Kafka

●Software methodologies: SDLC, Waterfall, Scrum, Agile, System design and Microservices.

●Tools and Framework: ServiceNow, GIT, Jira, Selenium WebDriver, Cucumber, Azure, GCP, HP ALM.

●Data/DevOps: Data pipeline development, ETL/ELT processes, Dashboards and visualizations, Cloud architecture design, Jenkins (CI/CD)

●Software testing: Manual Testing, Automation Testing, Regression testing, Smoke Testing, Black Box Testing, Unit Testing.

●Web services and Frameworks: REST, SOAP

PROFESSIONAL EXPERIENCE

Cognizant Technology Solutions, Pune

Senior Software Engineer Dec 2017 - July 2021

Worked closely with engineers and product managers to create and put into action complex software solutions, with an unwavering focus on top-tier performance, scalability, and reliability.

Led the way in developing a customized ServiceNow application for a client, reducing errors by 15% and increasing productivity by 25%.

Fostered seamless collaboration with cross-functional teams to plan and execute timely launches of infrastructure upgrades which led to a substantial 30% reduction in downtime and heightened user satisfaction, enabling faster execution, improved scale and increased cost efficiency.

Contributed hands-on coding to develop innovative software tools and implemented streamlined automation processes.

Successfully designed and implemented secure, fault-tolerant, and robust cloud infrastructure, including Azure, GCP and Kubernetes, through effective deployment

I had the responsibility of executing basic-to-intermediate SQL queries enhancing data pipelines (ETL/ELT), to ensure data accuracy and identify anomalies in data processing.

Achieved proficiency at using tools like Git, Jenkins (for CI/CD), and Data Analysis. This made it easier to develop and deploy things, making our evaluation of CI/CD pipelines more reliable, perform better, and increasing resilience.

I wore many hats in an agile project, served as a Scrum Master, actively participated in sprint planning, daily stand-ups, and retrospectives, deciding what tasks are important during meetings and talking to clients to understand their tricky technical needs.

Conducted training sessions, imparting technical and product knowledge to junior engineers and new joiner, fostering their professional growth, and contributing to team development.

Atharva Enterprises

Intern July 2016 - October 2016

I orchestrated system hardware upkeep and design, excelling in control algorithm development and unwavering product development support.

I played a pivotal role in seamlessly integrating software, delivering crucial software releases for calibration and optimized engine performance.

Additionally, I demonstrated precision in assembling printed circuit boards (PCBs) and leveraged Python for automation, significantly enhancing fire safety and security, aligning with the project's core objectives.

ACADEMIC PROJECTS

Pneumonia detection using Neural Networks in Machine Learning with Python programming December 2021 - May 2022

Utilized Convolution Neural Network (CNN) and Multilayer Perceptron (MLP) algorithms to efficiently detect and categorize pneumonia stages.

Implemented these algorithms in Python and conducted a thorough comparative analysis to determine the most effective solution.

Leveraged a Chest X-Ray dataset from Kaggle to create custom CNN and MLP models, advancing innovation in pneumonia detection.

Sudoku Solver using Haskell functional language December 2021 - May 2022

Developed a Sudoku solver in Haskell using a combination of brute-force, rule-based pruning strategies, and an effective heuristic approach.

Achieved quick and accurate puzzle solutions with this amalgamation of techniques.

The project was strategically scoped to attain the correct solution, showcasing the capability to deliver results. Future enhancements will revolve around optimizing time complexity for even more efficient performance.

CERTIFICATIONS

●ServiceNow Certified System Administrator

●Installation, storage, and compute with Window Server 2016

PUBLICATIONS

● “INDUSTRIAL AUTOMATION AND SURVEILLANCE USING RASPBERRY PI” April 2017

International Journal of Recent Innovation in Engineering and Research journal Volume 2, Issue 4; April 2017

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