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EMAIL AVAILABLE PHONE NUMBER AVAILABLE LinkedIn GitHub Portfolio Fairfax, VA, USA (Open to Relocation) EDUCATIONMasters in Computer and Information Science George Mason University, Fairfax, USA G.P.A : 3.6 /4 May 2024 Relevant Coursework: Advanced Machine Learning, Data Mining, DBMS, Artificial Intelligence and Data Structures. Bachelor of Technology, Computer Science (Minored in Bioinformatics) Vellore Institute of Technology, India G.P.A: 3.97/4 May 2022 Relevant Coursework: Applied Linear Algebra, Deep Learning, Natural Language Processing and Bioinformatics. SKILLSLanguages: Python, R, SQL, Java, C++, C, JavaScript, HTML, CSS, Go, PHP Tools: Jupyter Notebook, Google Data Studio, Excel, Matplotlib, Seaborn, MySQL, PostgreSQL, MongoDB, NoSQL, SQL Server, AWS S3, Google Cloud Storage, TensorFlow, Hadoop, Kafka, PyTorch, Scikit-learn, Keras, Power BI, Tableau, Apache Airflow, Big Query, GCP,CI/CD, Snowflake, Git version control, REST APIs Software: Data Analysis, Data Visualization, ETL (Extract, Transform, Load) Processes, Data Warehousing, Data Modeling, API Integration, Machine Learning, Artificial Intelligence, Debugging, Cloud Computing Coding: Data Analysis, Web Development, Debugging, Algorithms, Machine Learning, Artificial Intelligence, Data Engineering EXPERIENCEHousing and Residence Life, George Mason University, Fairfax, US July 2023  Present Data Analyst and Web Data Optimization Specialist (Google Analytics,Drupal, WordPress, Power Bi and Excel)Spearheaded data-driven projects to analyze user behavior and website performance, resulting in a 50% improvement in overall user experience satisfaction and a 40% increase in website conversion rate and total users to 200K .Designed and implemented new data models and reporting dashboards, providing actionable insights that led to a $500K increase in annual revenue.Implemented advanced statistical techniques and machine learning algorithms to analyze 10,000+ Key Performance Insights(KPI) data points, uncovering trends and patterns that informed strategic initiatives.Translated complex analytical findings into actionable strategies for executive teams, driving a 25% increase in client retention and enhancing operational workflow efficiency by 18%.Central Water Park Research Park Station, Pune, India April 2021  December 2021 Machine Learning Research Engineer (TensorFlow and QGIS)Led the planning and compilation of new datasets by gathering, cleaning, and pre-processing over 100K empirical data points.Created data pipelines to enhance data quality, resulting in a 30% increase in data accuracy.Innovated predictive models using DNN with ADAboost, SVM, and Random Forest with XGBoost, collaborating with industry experts and enhancing shallow water depth prediction accuracy by 25% .Presented findings and insights to stakeholders, showcasing an impressive model accuracy of 90% and implemented AGILE Methodologies to streamline development time by 25%. National Institute of Electronics and Information, Chennai, India January 2022  June 2022 Machine Learning Research Engineer (Pytorch and Git)Led the successful development and optimization of Cycle Generative Adversarial Networks, resulting in a significant enhancement of the style transfer application with a Frchet Inception Distance of less than 10% .Engineered comprehensive model evaluations, identifying and resolving performance bottlenecks to achieve a 90% success rate in GAN performance .Innovatively integrated spectral normalization and gradient penalty techniques into GAN training procedures, leading to a 20% improvement in generation quality and setting a new benchmark for AI model stability. PROJECTS & ACHIEVMENTS2024 Virginia Datathon Winners, Virginia Office of Data Governance and AnalyticsConceptualized and developed the Commonwealth AI Career Hub using Streamlit and GPT-3.5 Turbo OpenAI API, improving operational efficiency by 50%; recognized as the top project among 50+ teams for exceptional implementation. Real Time Stock Market Simulation using Kafka on AWSDesigned and implemented a real-time stock market simulation using Kafka on AWS, automating ETL processes with a 99% data processing accuracy, handling over 10,000 records per minute, data generation to S3 storage and Athena analysis. Water Depth Estimation Using Sentinel-2 Satellites for Shallow WaterPioneered research and implementation of advanced algorithms, incorporating SVMs and Deep Neural Networks. Accurately estimated shallow water depths from Sentinel-2 Satellite image bands, achieving over 90% accuracy. Ask PDFDesigned a PDF processing workflow in AskPDF, leveraging OpenAI's GPT-3.5-turbo to facilitate interactive Q&A, reducing manual document review time by 60%Research Paper - Published in SpringerLed a groundbreaking initiative focused on data analysis and interpretation within IoT-based systems for critical medical services and healthcare applications, leading to a 50% improvement in data accuracy.