Ram Rajput
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Data Engineer Intern @ Mactores | Turning Complexity into Clarity
Mumbai, Maharashtra, India
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Résumé
Jobs
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Data Engineer InternMactoresDec 2025 - Current (9 months)Claude Certified Architect- Data Analytics InternYBI FoundationMay 2024 - Jun 2024 (2 months)-Analyzed datasets to identify trends and insights, enhancing decision-making processes. -Created visual reports and dashboards using Power BI to communicate data findings. -Collaborated with cross-functional teams to develop data-driven solutions. -Assisted in data cleaning and preprocessing to ensure data accuracy and reliability. -Presented analytical results to stakeholders, aiding in strategic planning. -Utilized SQL and Python for data extraction, transformation, and analysis.
Education
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- Master of Science - MS, Big Data AnalyticsJAI HIND COLLEGE MUMBAIJan 2024 - Jul 2026 (2 years 7 months)
- SHigher Secondary CertificateSDSM College
- SBachelor of Science, ITSt John College of Humanities and SciencesGraduated with a CGPA of 9.1
Projects (professional or personal)
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- SSentimentCraftAug 2025 - Current (1 year 1 month)SentimentCraft is a comprehensive, all-in-one YouTube sentiment analysis platform that streamlines the entire data pipeline from extraction to machine learning. It effortlessly fetches and cleans video comments, visualizing audience emotions through intuitive charts, while uniquely allowing users to train and export custom ML models alongside their processed data exports.
- BBombSquad Game Servers using AWS EC2 InstancesJul 2024 - Current (2 years 2 months)Configured and managed game servers for BombSquad on AWS EC2 instances, ensuring seamless multiplayer experiences. Utilized AWS EC2 to deploy and maintain robust, scalable servers capable of handling high traffic and providing uninterrupted gameplay. This project highlights skills in cloud computing, server management, and the application of AWS services to support real-time gaming environments.
- DDiabetes Prediction ModelJul 2024 - Current (2 years 2 months)Developed predictive models to identify the likelihood of diabetes in patients using machine learning techniques. Implemented various algorithms, such as logistic regression, decision trees, and support vector machines, to analyze patient data and predict diabetes risk with high accuracy. This project involved data preprocessing, feature selection, model training, and evaluation, showcasing proficiency in machine learning and data analytics to address real-world healthcare challenges.
- RRay: An AI-Based Assistive ToolDec 2023 - Current (2 years 9 months)Developed an innovative system for mouse control via facial recognition, utilizing advanced computer vision technology to precisely track facial movements for intuitive device control. Enhanced user experience and productivity with integrated AI assistance, making interaction seamless and efficient. This state-of-the-art solution demonstrates the application of AI and computer vision to create accessible and user-friendly technology.
- DDiscord botsSep 2022 - Current (4 years)An all-in-one automation and entertainment hub, this Discord bot simplifies server management by consolidating essential features into a single application. It offers server administrators a powerful toolkit featuring advanced security protocols, seamless music playback, and built-in gaming modules to create a secure, dynamic, and highly engaging environment for members.