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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/sabbellasri EDUCATIONMasters, Computer Science Graduating Dec Street Address
Clemson University, Clemson, SC 3.9 GPABachelors, Computer Science Graduated May Street Address
KL University, Vaddeswaram, India 3.5 GPATECHNICAL SKILLSFrameworks: Pytorch, Hadoop, Spark, J2EE, Java Spring Boot Skills: Data Analysis, Data Warehousing, Data Visualization, Web Development, Azure Programming: Python, C, Java, HTML, JavaScript, CSS, VBA Tools: Informatica, Snowflake, Tableau, Power BI,MS Office Suite, R Studio, Databricks, Git, Kafka Certifications: GCP Associate Cloud EngineerWORK EXPERIENCEClemson University, Clemson, SC: Software Development Teaching Assistant (20 hours/week) Jan 2024 - present Tutored 50 undergraduate engineering students per week in JAVA programming and graded their work Extended checkers game framework to make the students learn the oops design in an innovative way. PROFESSIONAL EXPERIENCECognizant Technology Solutions, Chennai, India: Data Engineer Jul 2020 Dec 2022 Engineered a comprehensive patient metrics evaluation framework using Oracle PL/SQL Procedures and Infor- matica, resulting in a 40% decrease in patient data processing time and enhancing data accuracy. Optimized data pipelines, enhancing automation within existing Informatica workflows, which led to a decrease in 20 percent of the workflow execution time. Directed the implementation of PySpark SQL for complex querying and manipulation of extensive datasets con- taining crucial patient data, drug histories, and performance metrics optimized query performance Analysed various Machine Learning Algorithms like Naive Bayes, Linear Regression and Decision Trees using Databricks Used UNIX scripting to automate the extraction of data from files with various extensions, streamlining the data retrieval process Created Interactive Graphical Representations of Data Outputs Using Tableau. Cognizant Technology Solutions, Hyderabad, India: Data Engineer Intern Dec 2019 Mar 2020 Designed a Data Mart and made some macros in VBA to perform complex repetitive tasks of comparing multiple cells in Excel files Spearheaded a Power BI project, leveraging Azure MS SQL Database and DAX, to create a high-impact dash- board that communicated sales insights to stakeholders. PROJECTSNetflixs OTT platform performance Transformed raw data into a structured format suitable for analysis in Tableau, focusing on metrics critical for performance analysis and strategic decision-making. Created interactive dashboards in Tableau to visualize key performance indicators (KPIs) such as subscriber growth trends, top-performing content, average watch time and regional content preferences. Generative Adversarial Networks (GANs) Implementation Processed GANs to generate synthetic data samples, employing a competition between generator and discrimina- tor networks. Evaluated model performance using Frechet Inception Distance (FID) score, with DCGAN achieving superior results among tested architectures.Guess Words and Escape From Death I crafted a modified version of the traditional Hangman game, adding a unique twist where players must prevent a boat from falling into water. I incorporated customizable settings, enabling players to adjust the number of words and guesses per session, with support for up to 16 words and adjustable guess limits. Additionally, I designed an intuitive user interface featuring interactive widgets, such as a raccoon icon that provides hints, enriching the overall gaming experience.BERT-Based Extractive Question Answering on SQuAD Dataset Implemented a BERT-based extractive question answering model on the SQuAD dataset, aiming to identify precise answer spans within textual contexts by leveraging bert-base-uncased. Enhanced model performance through fine-tuning techniques such as learning rate schedulers and doc stride adjustments. Evaluated accuracy using the Word Error Rate (WER) metric, demonstrating significant improvements in understanding and processing complex query-context pairs.Library Management System Modernised a library web application using MERN Stack and simplified search engine optimization (SEO) tech- niques that improved its page ranking. |
