Data Engineer Analyst

SRINIVASA SABBELLA

864-***-**** • *******@*.*******.*** • linkedin.com/in/sabbella-srinivasareddy • github.com/sabbellasri EDUCATION

Masters, Computer Science Graduating Dec 2024

Clemson University, Clemson, SC 3.9 GPA

Bachelors, Computer Science Graduated May 2020

KL University, Vaddeswaram, India 3.5 GPA

TECHNICAL SKILLS

Frameworks: 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 Engineer

WORK EXPERIENCE

Clemson 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 EXPERIENCE

Cognizant 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. PROJECTS

Netflix’s 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.

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