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Click here or scroll down to respond to this candidateCandidate's Name
+1-Street Address -388-5143 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE https://github.com/rananth99 EDUCATIONArizona State University, Tempe, AZ Aug 2022 May 2024 Master of Science Computer Science GPA 4.00/4.00 PES University, Bengaluru, India Aug 2017 May 2021 Bachelor of Technology Computer Science and Engineering GPA 8.63/10.00 SKILLSProgramming: Python, SQL, C++, Javascript, HTMLDatabases: MySQL, Microsoft SQL Server, PostgreSQL, MongoDB, SQLite Frameworks: TensorFlow, Keras, Django, Flask, NodeJS, FastAPI, SDLC, Agile, DevOps, OOPs, CI/CD, Selenium, JUnit, SDLC, Linux Tools/Software: Tableau, Docker, SAS, SSMS, SSIS, SSRS, Git, Figma, Amazon Web Server (AWS), Azure, Postman, Excel WORK EXPERIENCEKnipper Health, Somerset, New Jersey Jun 2023 Aug 2023 Data Engineer Intern Engineered a robust automated ETL solution utilizing SSIS and SSMS to seamlessly migrate data from Excel files to SQL Server database, reducing manual effort by nearly 40%. Designed an error-logging mechanism for SSIS package to simplify debugging, and troubleshooting reducing manual debugging time by ~70%. Established an efficient reporting system using SSRS and SSMS software for data visualization, enabling clients to generate reports seamlessly on front-end, saving significant manual effort and improving overall efficiency by 60%. Deloitte USI (Offices of US), Hyderabad, India Feb 2021 Jul 2022 Analyst Orchestrated implementation of an end-to-end ETL process leveraging SQL Server, SSIS, Excel VBA, and UI Path to streamline Excel-based reporting; resulting in a 50% reduction in manual labor and bug resolution time for team. Spearheaded cross-functional collaboration among a team of 6 to create interactive data visualizations utilizing SQL Server, Tableau, and SharePoint; empowered clients to make informed decisions. Collaborated with team to contribute to financial dashboard using .NET, Azure, and Microsoft SQL Server to reduce manual effort of generating financial reports by close to ~40%. Mentored 2 colleagues, providing strategic support and insights on team activities and ongoing projects within 4 weeks. Invendis Technologies India Pvt.Ltd, Bengaluru, India Jun 2020 Jul 2020 Data Analyst Intern Architected an agile data pipeline utilizing Python, SQLite, Numpy, and Pandas to fetch and process massive data volumes from SQL Workbench seamlessly; optimized computational efficiency and attained a 30% reduction in processing time. Devised and implemented interactive data visualization dashboards using SQL Workbench and Tableau, enabling clients to uncover actionable insights and drive data-informed decision-making. ACADEMIC PROJECTSTemporal and Spatial Reasoning with BERT Aug 2023 Dec 2023 Spearheaded optimization of BERT's temporal and spatial reasoning using ~2500 training samples generated using GPT-4. Engineered and curated a comprehensive dataset leveraging prompt engineering techniques to train and test BERT model resulting in improved model accuracy by 30%. Achieved 55% accuracy on BERT model using manually curated and annotated data from large language models (LLM) such as GPT-4. Clickbait Detection in YouTube Jan 2023 May 2023 Fetched YouTube video metadata such as title, description, thumbnail, comments, likes, and view count using Google YouTube API. Employed data preprocessing techniques such as vectorization, and standardization on obtained data, improving data quality. Led development and implementation of a Semi-supervised+XGBoost model nearly achieving 93% accuracy and a Semi-supervised+Random Forest model achieving close to 89% accuracy in classifying a video as clickbait or non-clickbait. RideShare Application Jan 2020 May 2020 Built backend functionalities for a ride-share application for maintaining rides. Established Client and Server functionalities such as creating, joining, and deleting rides. Devised a cutting-edge backend solution using Python, Flask, MySQL, Docker, Zookeeper, and RabbitMQ; accomplished seamless deployment on an AWS EC2 instance, resulting in enhanced system performance. |
