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| <a href="#home" class="brand">Pinni Praneeth Kumar</a> | |
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| <li><a href="#about">About</a></li> | |
| <li><a href="#skills">Skills</a></li> | |
| <li><a href="#projects">Projects</a></li> | |
| <li><a href="#experience">Experience</a></li> | |
| <li><a href="#education">Education</a></li> | |
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| <section class="hero" data-reveal> | |
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| <div class="hero-copy"> | |
| <h1>Hi, I'm <span class="accent">Pinni Praneeth Kumar</span>.</h1> | |
| <p class="lead">Senior Data Engineer building ML pipelines and GenAI solutions.</p> | |
| <div class="cta-group"> | |
| <a href="#projects" class="btn btn-primary">View Projects</a> | |
| <a href="#contact" class="btn">Contact Me</a> | |
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| <span>Based in India • Open to roles</span> | |
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| <div class="avatar">PP</div> | |
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| <section id="about" class="section" data-reveal> | |
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| <h2>About</h2> | |
| <p> | |
| Senior Data Engineer with 3.10+ years of experience architecting and deploying scalable ML pipelines on AWS and Azure, | |
| accelerating the ML lifecycle from data ingestion to production deployment. Skilled in automating end-to-end ML pipelines. | |
| Proficient in Python, SQL, CI/CD, Docker, and model deployment at scale. Experienced in GenAI, LLMs, and prompt engineering | |
| to drive intelligent automation. | |
| </p> | |
| <ul class="highlights"> | |
| <li>Proficient: Python, SQL, CI/CD, Docker, model deployment</li> | |
| <li>Experienced: Generative AI, LLMs, RAG, Prompt Engineering</li> | |
| <li>Cloud: AWS and Azure for scalable data/ML systems</li> | |
| </ul> | |
| </div> | |
| </section> | |
| <section id="skills" class="section" data-reveal> | |
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| <h2>Skills</h2> | |
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| <div class="skill-group"> | |
| <h3>Programming Languages</h3> | |
| <div class="chips"> | |
| <span class="chip">SQL</span> | |
| <span class="chip">Python</span> | |
| </div> | |
| </div> | |
| <div class="skill-group"> | |
| <h3>Tools</h3> | |
| <div class="chips"> | |
| <span class="chip">MySQL</span> | |
| <span class="chip">Oracle SQL Developer</span> | |
| <span class="chip">MongoDB</span> | |
| <span class="chip">Cloud (AWS, Azure)</span> | |
| <span class="chip">Tableau</span> | |
| <span class="chip">GitHub</span> | |
| <span class="chip">MLFlow (Model Tracking)</span> | |
| <span class="chip">SageMaker</span> | |
| <span class="chip">Azure ML Studio</span> | |
| <span class="chip">Vertex AI</span> | |
| </div> | |
| </div> | |
| <div class="skill-group"> | |
| <h3>Others</h3> | |
| <div class="chips"> | |
| <span class="chip">MLOps</span> | |
| <span class="chip">CICD</span> | |
| <span class="chip">Model Monitoring</span> | |
| <span class="chip">Deep Learning</span> | |
| <span class="chip">Generative AI</span> | |
| <span class="chip">LLMs</span> | |
| <span class="chip">RAG</span> | |
| <span class="chip">Agents</span> | |
| <span class="chip">Prompt Engineering</span> | |
| <span class="chip">Big Data</span> | |
| <span class="chip">Data Analytics</span> | |
| </div> | |
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| </section> | |
| <section id="projects" class="section" data-reveal> | |
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| <h2>Projects</h2> | |
| <div class="grid projects-grid"> | |
| <article class="card"> | |
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| <h3>Streamlining Auto Vehicle Pricing through MLOps <span class="muted">(June 2024 – September 2024)</span></h3> | |
| <details> | |
| <summary class="btn btn-sm">Know more</summary> | |
| <ul> | |
| <li><strong>Built and deployed</strong> an end-to-end MLOps pipeline on Azure ML using GitHub Actions and Python, automating data processing, model training, evaluation, and CI/CD — <strong>reducing model deployment time by 60%</strong> and enabling <strong>weekly retraining cycles</strong> for dynamic vehicle pricing.</li> | |
| <li><strong>Developed a scalable pricing model</strong> by integrating <strong>over 1 million records</strong> from multiple data sources using SQL, enabling <strong>real-time pricing updates</strong> that reflected evolving market trends.</li> | |
| <li><strong>Improved pricing accuracy by 25%</strong> and cut manual processing time by <strong>70%</strong> through workflow automation, significantly enhancing operational decision-making speed.</li> | |
| <li><strong>Implemented a unified MLOps-driven system</strong> with scalable endpoint deployment, supporting <strong>24/7 availability</strong> and handling <strong>1000+ pricing requests per day</strong> with <strong><200ms inference latency</strong>.</li> | |
| <li><strong>Delivered a production-ready pricing solution</strong> that increased dealership revenue by <strong>4.8%</strong>, improved customer trust scores by <strong>15%</strong>, and strengthened cross-functional team collaboration.</li> | |
| </ul> | |
| </details> | |
| <ul class="tags"> | |
| <li>Azure ML</li><li>GitHub Actions</li><li>Python</li><li>SQL</li><li>MLOps</li> | |
| </ul> | |
| </div> | |
| </article> | |
| <article class="card"> | |
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| <h3>Intelligent Reporting on Azure <span class="muted">(January 2023 – March 2023)</span></h3> | |
| <details> | |
| <summary class="btn btn-sm">Know more</summary> | |
| <ul> | |
| <li>Developed an automated analytical pipeline using <strong>Python, SQL, and Azure ML</strong> to preprocess trip data, ensuring data consistency and accuracy for further analysis.</li> | |
| <li>Created <strong>interactive dashboards</strong> with Streamlit, hosted on Hugging Face Spaces, to visualize key business metrics like total revenue and trip categories, improving data accessibility and decision-making.</li> | |
| <li>Implemented an <strong>email alert system</strong> using automation scripts, enabling real-time notifications with summaries of insights and dashboard links, enhancing stakeholder communication and decision-making efficiency.</li> | |
| <li>Streamlined data workflows by <strong>integrating Azure ML</strong> for data storage, preprocessing, and pipeline management, improving collaboration, scalability, and operational efficiency.</li> | |
| </ul> | |
| </details> | |
| <ul class="tags"> | |
| <li>Azure ML</li><li>Python</li><li>SQL</li><li>Streamlit</li><li>Hugging Face Spaces</li> | |
| </ul> | |
| </div> | |
| </article> | |
| </div> | |
| </div> | |
| </section> | |
| <section id="experience" class="section" data-reveal> | |
| <div class="container"> | |
| <h2>Experience</h2> | |
| <div class="timeline"> | |
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| <h3>Senior Data Engineer • Great Learning <span class="muted">Bangalore Urban</span></h3> | |
| <span class="muted">Jan 2022 — Present</span> | |
| <details> | |
| <summary class="btn btn-sm">Know more</summary> | |
| <ul> | |
| <li>Led end-to-end development of scalable machine learning solutions, driving business impact by transforming raw data into actionable insights across product, marketing, and operations teams.</li> | |
| <li>Designed and deployed advanced predictive models and statistical frameworks using Python, SQL, and cloud platforms (AWS/Azure/GCP), resulting in measurable improvements in customer retention, conversion, or efficiency.</li> | |
| <li>Mentored junior data scientists and analysts, fostering a culture of experimentation, code quality, and reproducible research through peer reviews, knowledge sharing, and hands-on guidance.</li> | |
| <li>Led the design and delivery of 5 successful AI/ML-powered products, driving innovation across data science, machine learning, and automation use cases—contributing to a <strong>5% increase</strong> in overall company revenue and operational growth.</li> | |
| </ul> | |
| </details> | |
| </div> | |
| </div> | |
| <div class="timeline-item"> | |
| <div class="timeline-dot"></div> | |
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| <h3>Data Analyst • FSP Solutions Pvt Ltd <span class="muted">Noida, Delhi</span></h3> | |
| <span class="muted">Jun 2021 — Oct 2021</span> | |
| <details> | |
| <summary class="btn btn-sm">Know more</summary> | |
| <ul> | |
| <li>Partnered with development teams to deliver groundbreaking solutions, providing expert consultation and driving execution to achieve tangible impact.</li> | |
| <li>Transformed existing information architectures through in-depth analysis and innovative design, developing optimized solutions that elevate data management.</li> | |
| </ul> | |
| </details> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <section id="education" class="section" data-reveal> | |
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| <h2>Education</h2> | |
| <ul class="edu-list"> | |
| <li> | |
| <h3>Grandhi Varalakshmi Venkatarama Institute of Technology • 81.4%</h3> | |
| <span class="muted">B.Tech in Mechanical Engineering • Bhimavaram, AP • 2020</span> | |
| <div class="muted">Honors: Academic Merit Award • Projects: Go‑Kart (Open type wheel car)</div> | |
| </li> | |
| <li> | |
| <h3>Grandhi Varalakshmi Venkatarama Institute of Technology • 82.07%</h3> | |
| <span class="muted">Diploma in Mechanical Engineering • Bhimavaram, AP • 2017</span> | |
| <div class="muted">Projects: Dual Tone Multi Frequency Robot</div> | |
| </li> | |
| </ul> | |
| </div> | |
| </section> | |
| <section id="contact" class="section" data-reveal> | |
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| <h2>Contact</h2> | |
| <p> | |
| Feel free to reach out for roles, collaborations, or just to say hi. | |
| </p> | |
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| <a class="btn btn-primary" href="mailto:praneethsanthosh555@gmail.com">Email Me</a> | |
| <a class="btn" href="./resume/Praneeth-Kumar-Resume.pdf" download>Download Resume</a> | |
| <a class="btn btn-ghost" href="https://www.linkedin.com/in/praneeth88/" target="_blank" rel="noopener">LinkedIn</a> | |
| <a class="btn btn-ghost" href="https://github.com/praneeth300" target="_blank" rel="noopener">GitHub</a> | |
| <span class="muted">Ph: 8309116050</span> | |
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