SP
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Currently Reading: "Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning by Alex J. Gutman"

👋 I'm Senthil Palanivelu 

I’m a Computer Science professional with a strong background in Data Analytics, AI Engineering, and Machine Learning. I’m passionate about exploring data to uncover meaningful patterns and trends, using evidence-based analysis and data-driven insights to guide informed decision-making. My work focuses on applying AI and advanced analytics to solve real-world problems, optimize processes, and deliver clear, measurable business value. I enjoy bridging the gap between complex data and practical outcomes by turning insights into actionable solutions.

  • 5+ years of experience as a Data Analyst.
  • Proficient in Python, Machine Learning and SQL.
  • Analytic mindset and a passion for AI.
  • Creative, curious, and innovative - I love exploring new ways to use data.
  • AI early adopter - I stay ahead of trends and love experimenting with new tools.
Resume
Senthil Palanivelu

Education

  • Master of Science in Computer Science

    Jan 2015 - Jan 2019 | University of Massachusetts Boston | USA

    Courses: Advanced Algorithms, Algorithms in Bioinformatics, Analysis of Algorithm, Big Data Analytics, Linear Algebra, Calculus, Software Development and Design, Database Management, Computing Data Structure, Mathematical Logic

  • Bachelor of Engineering in Electronics and Communication

    Sep 2007 - Sep 2011 | Anna University | India

    Courses: Signal Processing, Microprocessor, Satellite communication, Control Systems Design

  • Certifications

  • Mathematics for Machine Learning and Data Science

    July 2024 | DeepLearning.AI on Coursera

    A comprehensive course covering fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

    View Certificate

  • Google Prompting Essentials

    February 2025 | Google on Coursera

    AI agent design, Multimodal prompting, Prompt chaining, Prompt Design, Prompt evaluation and iteration, Responsible AI.

    View Certificate

  • Supervised Machine Learning: Regression and Classification

    March 2025 | DeepLearning.AI on Coursera | Standford Online

    Build & train supervised machine learning models in Python using popular libraries NumPy & scikit-learn for prediction & binary classification tasks, including linear regression & logistic regression.

    View Certificate

Skills

  • Languages

    PythonR ProgrammingR ShinySQLJavaScriptTypeScriptHTMLCSSShell ScriptingMATLAB

  • Full Stack Development

    Next.jsReactTailwind CSSFramer MotionZustandNode.jsREST APIsStreamlitFastAPI

  • Machine Learning & AI

    Machine LearningDeep LearningLLMs & RAGAI AgentsComputer VisionNLPPyTorchScikit-learnXGBoostOpenAI APIPrompt EngineeringRandom ForestSVMGradient DescentPCANeural Networks

  • Data Science & Analytics

    Data AnalysisStatistical ModelingHypothesis TestingTime Series AnalysisSignal ProcessingBayesian StatisticsPandasNumPyMatplotlib/SeabornData VisualizationLinear/Logistic RegressionProbability Theory

  • Tools & Platforms

    AWSDockerLinuxGit/GitHubCI/CDGitHub ActionsVS CodeJupyterNetlifyPyMuPDFPinecone