Sharath Chandra Malyala

919-***-**** ad44vh@r.postjobfree.com Buffalo, NY www.linkedin.com/in/sharath-chandra/ Experienced Software Engineer with a focus on backend development and automation skills, boasting three years of industry experience. Demonstrated success in collaborating within Agile teams to design and implement user-centered solutions, resulting in the development of effective web applications. Proficient in optimizing website performance through strategic implementation of techniques, with a keen ability to identify and resolve software issues efficiently. Possesses strong communication skills and a history of delivering projects within timelines and budgets, showcasing a commitment to excellence in software engineering. EDUCATION -

● University at Buffalo, New York, Master of Professional Studies in Data Science and Applications May 2024 Relevant Courses: : Introduction to Machine Learning, Programming Database Fundamentals (Python), Database Management Systems, Introduction to Numerical Analysis, Probability and Data Analysis, Statistical Data Mining, Data Structures and Algorithms, Cybersecurity Privacy and Ethics, Applications of Data Science Industry Overview

● JNTUH, Bachelor of Technology in Electronics and Communication Engineering July 2021 WORK EXPERIENCE –

Software Developer, TCS Solutions, Hyderabad, India Aug 2021 – Jan 2023

● Designed and implemented a scalable microservices architecture using Java and Spring Boot framework to overhaul the backend infrastructure, optimizing performance.

● Integrated an Oracle SQL database system into the architecture, enhancing data management capabilities and enabling efficient handling of large volumes of unstructured data.

● Orchestrated communication between microservices using RESTful APIs and messaging queues, ensuring seamless interaction and fault tolerance across the distributed system.

● Employed containerization technologies such as Docker and orchestration tools like Kubernetes to deploy and manage microservices in a cloud- native environment, enhancing scalability and resilience.

● Located, logged, and debugged assigned issues, contributing to resolution of software discrepancies and improvements.

● Implemented continuous integration and continuous deployment (CI/CD) pipelines using GitLab CI/CD, automating the build, test, and deployment processes to streamline development workflows and ensure code quality. Engineering Intern, OpenText, Hyderabad, India Oct 2020 – Aug 2021

● Accomplished Quality Assurance Engineer with a specialization in Python GUI Automation, particularly proficient in PyGUI.

● Demonstrated expertise in collaborating with cross-functional teams to contribute to Java-based web automation projects utilizing Selenium, JUnit, and TestNG.

● Built skill of working collaboratively with cross-functional teams to ensure high-quality product releases and delivering projects on time and within budget.

● Devised automated tests within a Java/JavaScript automation framework, boosting efficiency and reliability of testing processes. SKILLS:

● Programming – Python Java C Programming JavaScript HTML CSS XSLT VBA

● Databases - MySQL Oracle SQL SQLite NoSQL

● Frameworks – Angular Spring Framework jQuery Junit Machine Learning Spring Boot

● Operating Systems – Windows Linux MacOS Unix

● Tools – Selenium Jenkins JIRA Microsoft Office Suite Power Apps Power Flow Linux SVN GIT RDBMS Tableau Power BI

● Libraries – Sci-kit Learn Matplotlib NumPy Pandas TensorFlow PyGUI

● Skills – Agile Collaboration SDLC Quality Assurance Data Visualization Hypothesis Testing Issue Identification and Debugging Linear

& Logistic Regression Communication Skills Decision Making Adaptability ACADEMIC PROJECT EXPERIENCE:

Advanced Movie Recommendation System

● Collected a movie dataset consisting of 10,000+ records from public sources and APIs, processed with Python, pandas, and SQL, employing rigorous data cleaning, preprocessing, and validation for enhanced accuracy and integrity.

● Created a user-friendly movie recommendation system to process data from dataset. The recommendation system achieved an accuracy rate of 92%, precision of 88%, and recall of 90%, as assessed by industry-standard evaluation metrics. Real-Time Customer Behavior Prediction for E-Commerce Platforms

● Employed SAS Studio and Orange for data exploration of 50,000+ records, Open Refine for cluster analysis, and Pareto Analysis to improve data quality of customer behavior dataset by addressing duplicates, missing values, and identifying prominent complaint types.

● Utilized SAS Enterprise and Orange to create predictive models including Logistic Regression, Neural Network, and Decision Tree, evaluating performance through metrics such as AUC, CA, F1, Precision, and Recall for predictions. Thyroid Detection

● Partnered with a team to develop a machine learning-based classification methodology to predict thyroid types using K-Means Clustering, K- Neighbors, and Random Forest algorithms.

● Utilized 30 different features including TSH and FTI composition to train model for accurate prediction. CERTIFICATIONS:

Crash Course on Python – Coursera Certified Microsoft AWS Cloud Practitioner Neural Networks and Deep Learning – Coursera Programming in Core Java – Hacker Rank Front-End Web UI Frameworks and Tools: Bootstrap 4 – Coursera Data Visualization – Tableau

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