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Data ScientistEMAIL AVAILABLE PHONE NUMBER AVAILABLE Denton, TXSUMMARY Highly skilled Data Scientist with 4 years of experience in data extraction, modeling, wrangling, statistical analysis, and machine learning. Proficient in SDLC, Agile, and Waterfall methodologies for effective project management. Experienced in engineering and deploying Generative AI models on multi-GPU infrastructure, utilizing expertise in model fine-tuning, optimization, and distributed computing to drive AI innovation and scalability. Expertise in machine learning algorithms, including regression analysis, decision trees, neural networks, and NLP. Strong in data visualization tools like Tableau, Power BI, and Excel, creating insightful visualizations for effective communication. Experienced in cloud technologies (AWS, GCP) and database management (MySQL, SQL Server, Oracle, MongoDB). SKILLSMethodologies: SDLC, Agile, WaterfallLanguage: Python, R, SQL, SASIDEs: Visual Studio Code, PyCharm, Jupiter Notebook Statistical Methods: Hypothetical Testing, ANOVA, Time Series Machine Learning: Regression analysis, Bayesian Method, Decision Tree, Random Forests, Support Vector Machine, Neural Network, Sentiment Analysis, K-Means, KNN, Classification, SVM, Naive Bayes, Natural Language Processing (NLP), LLM, CNN, XGBoost Frameworks: LangChain, Retrieval-Augmented Generation (RAG) Packages: NumPy, Pandas, Matplotlib, SciPy, ggplot2, Scikit-Learn, PyTorch, TensorFlow, Keras, Spark Visualization Tools: Tableau, Power BI, Microsoft Excel Cloud Technologies: AWS, GCP, AzureDatabase: MySQL, SQL Server, Oracle, MongoDB, Vector Database (Pinecone, ChromaDB), Graph Database (Neo4j) Software/Other Skills: Jira, Data Cleaning, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills, Problem-solving, Decision-Making, EDA, Communication Skills, Databricks, Data Visualization, Predictive Analytics, Pattern Recognition, JMP, Data Integrity, Quantitative Data, Data Science, Statistics, Statistical Analysis, Data Analytics, Data Modeling, Big Query, Snowflake Operating System: Windows, LinuxEXPERIENCEState Street, USA Data Scientist Dec 2023 - Current Employed Agile methodologies to adapt to changing project requirements and iteratively deliver solutions. Conducted hypothesis tests to evaluate variable relationships, aiding data-driven decisions. Created elegant visualizations using ggplot2 in R, based on the grammar of graphics principles. Implemented Natural Language Processing (NLP) techniques to optimize customer satisfaction efforts. Developed interactive dashboards and reports using Tableau, enabling insights from complex datasets. Performed analysis of Cloud SQL and used Python to connect data to Google BigQuery, reducing transfer time to microseconds. Designed and deployed a recommender system using Collaborative Filtering on an AWS EMR cluster, enhancing user experience. Implemented various algorithms like XGBoost, SVM, and LLM to uncover patterns and make data-driven predictions. Implemented a Retrieval-Augmented Generation (RAG) pipeline to enhance the accuracy and relevance of automated responses by combining generative and retrieval-based AI techniques, increasing solution accuracy by 30%. Optimized MySQL database schema to ensure efficient data storage, retrieval, and scalability. Maruti Techlabs, India Data Scientist Feb 2019 - July 2022 Conducted thorough testing and validation of data science models and solutions before deployment, following a structured and rigorous approach typical of Waterfall methodologies Integrated Databricks solutions into existing data pipelines through collaboration with cross-functional teams. Implemented time series analysis and supervised/unsupervised learning algorithms (LLM) to extract valuable insights from large datasets. Developed and trained deep learning models using PyTorch and TensorFlow frameworks, implementing custom architectures and optimizing model performance. Integrated Power BI with Microsoft Excel and other data sources to create reports that update automatically with new data. Developed Deep Learning models using Keras (RNN, LSTM) for industrial decision-making processes. Leveraged AWS EC2 (Elastic Compute Cloud) instances for running data processing tasks, model training, and inference, utilizing scalable computing resources to handle variable workloads. Implemented backup and recovery strategies for SQL Server databases, safeguarding data availability during system failures. EDUCATIONMaster of Science in Data Science University of North Texas, Denton, Texas Bachelor of Engineering in Computer Science and Engineering Saveetha University, Chennai, India CERTIFICATIONS OR COURSESMachine Learning Specialization - Stanford University. IBM Data Engineering Professional Certificate.Machine Learning, Data Science, and Generative AI with Python. Tableau Essential Training - LinkedIn. Machine Learning with Apache Spark - IBM.