Machine Learning Artificial Intelligence

Franklin CD Samuel

********************@*****.*** 571-***-**** LinkedIn GitHub Portfolio Fairfax, VA, USA (Open to Relocation) EDUCATION

Master’s 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. SKILLS

Languages: 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 EXPERIENCE

Housing 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 Fréchet 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 & ACHIEVMENTS

2024 Virginia Datathon Winners, Virginia Office of Data Governance and Analytics

Conceptualized 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 AWS

Designed 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 Water

Pioneered 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 PDF

Designed 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 Springer

Led 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.

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