Prakul Patel

Prakul Patel Data Scientist Aspirant Roll No.: 21BDS0003 --GitHub | LinkedIn | LeetCode B.Tech. Computer Science Engineering with Data Science Vellore Institute of Technology, Vellore Education Degree B.Tech Senior Secondary (12th) Secondary (10th) Institution Vellore Institute of Technology, Vellore St. Gabriel’s Senior Secondary School, Jabalpur St. Gabriel’s Senior Secondary School, Jabalpur Percentage/CGPA 88.7 % 87.8 % 94.4 % Year 2021 – Present- Work Experience Data and Automation Engineer Intern, Volvo Trucks India, Bangalore Jan 2025 – Present Responsibilities: Led end-to-end digitalization and automation initiatives in supply chain and logistics, leveraging Power Automate Cloud and Desktop, Power BI, Power Apps, Azure Databricks, PySpark, and Python to streamline operations and enable data-driven decision-making. Designed and deployed low-code solutions and integrated Copilot Studio, resulting in a measurable reduction of 1500+ manual work hours and significant process optimization. AIML Intern, KuppiSmart Solutions Pvt. Ltd., Hyderabad Jun 2024 – Jul 2024 Responsibilities: Conducted research on poultry farming, identifying key parameters that influence growth and diseases. Discovered threshold values that trigger diseases and explored risk reduction methods. Applied data visualization, machine learning, and deep learning models to develop optimal solutions. Detailed documentation of the research findings.. Security Analyst Engineer Intern, Munitions India Limited, Jabalpur Nov 2023 – Dec 2023 Responsibilities: Worked on Identity and Access Management (IDAM) and system security, including detecting and removing unauthorized files and software. Focused on network security, managing and securing the company’s intranet. Conducted vulnerability assessments and ensured compliance with security protocols. Projects Comparative Study of Deepfake Detection Models on Image Datasets Evaluated deep learning models including CNNs, ResNet, EfficientNet, Transformers, and their fused variants using TensorFlow and Keras for image-based deepfake detection. Optimized models for real-time deployment by balancing F1 score and computational efficiency. Developed a web application for instant authenticity checks and effectively communicated results and ethical considerations to non-technical stakeholders through intuitive visualizations and clear explanations. Personalized Movie Recommendation System Built a hybrid recommendation engine combining collaborative filtering and content-based filtering techniques using Python and NLP methods. Evaluated system performance with precision and recall metrics, deploying the application via Streamlit for interactive user experience. Incorporated semantic search and embedding techniques, reflecting retrieval augmented generation (RAG) concepts. Banking Management System Designed and implemented core system functionalities using Python and MySQL, optimizing database queries for performance and reliability. Gained experience in system design and backend integration, supporting robust data pipelines and application scalability. Titanic Classifier Developed machine learning models for survival prediction with comprehensive data preprocessing and feature engineering using Python and NLP techniques. Tuned models to improve predictive accuracy, reinforcing foundational ML and data analysis skills. Clustering Analysis on Mall Customer Data Applied unsupervised learning algorithms to perform clustering and segmentation of customer data. Visualized clustering results using Matplotlib and optimized algorithm parameters for actionable business insights. Technical Skills Programming Languages: Python, SQL, R, C++ Machine Learning & AI: TensorFlow, Keras, PyTorch, Scikit-learn, Transformers, Recommender Systems, NLP, Deep Learning Generative AI & Frameworks: Transformer models, prompt engineering concepts,LangChain (learning phase) Cloud Platforms: Azure, AWS Data Engineering & Big Data: Databricks, PySpark, Feature Engineering, SQL databases (MySQL, PostgreSQL, MongoDB) DevOps & Deployment: Git, REST APIs, Basic containerization, System design fundamentals Visualization & BI: Jupyter, Power BI, Matplotlib Mathematics & Analytics: Statistics, Data Structures & Algorithms, MATLAB Achievements Google Code In 2019 Hacktoberfest 2020 AWS Cloud Practitioner Certification Website with WordPress (Coursera) Summer Analytics 2024, IIT-G LeetCode (150+ problems solved) Organizations Regional Head, Youth Against Rape NGO Senior Core Member, Anokha NGO Club Senior Core Member, Nature Club Dec 2019 - Jun 2021 Jun 2022 - Mar 2025 Jun 2022 - Mar 2025