Web Developer Power Bi

Raunaq Bedi

585-***-**** ******@***.*** linkedin.com/in/raunaqbedi github.com/raunaq Ashburn, VA OPT started 19 Dec 2024 Open to relocation

Experience

Cloud DevOps Intern May 2023 – Aug 2023

RIA Advisory AWS, Docker, Jenkins, Ansible, Shell Scripting, CI/CD Florida, USA (Remote)

• Developed a user-friendly interface that allows users to start, stop, and delay AWS EC2 instances displaying the current status and also providing options for control, increasing operational efficiency by 40% and reducing manual intervention by 60%.

• Created a Teams chatbot enabling users to trigger Jenkins jobs without leaving the chat, streamlining workflow.

• Leveraged Ansible for configuration management, reducing configuration errors by 30%.

• Implemented and optimized Python scripts for automating build and deployment processes, enhancing efficiency and reducing manual errors.

Web Developer Intern Jan 2021 – May 2021

The Sparks Foundation HTML, CSS, JavaScript, PHP, Figma, Agile Development Delhi, India

• Gained expertise in web development technologies and successfully implemented payment gateway integration using the Razorpay API, ensuring safety and reducing payment failures by 35% during online transactions.

• Collaborated with a team of developers to design and develop a secure Banking System mobile app in an Agile environment, facilitating multiple user money transfers and transaction viewing. Data Science and Business Analytics Intern Sep 2020 – Jan 2021 The Sparks Foundation Python, Scikit-learn, Pandas, Power BI, Tableau, ETL, SQL Delhi, India

• Demonstrated skills in Python, Scikit-learn, and Pandas to predict student scores with 94% accuracy, used K-Means to classify student grades with 88% accuracy, and achieved 98% accuracy in decision tree classification.

• Created Power BI dashboards, reducing manual reporting time by 50% and increasing insight delivery by 20%. Technology Team Intern Feb 2020 – Nov 2020

Oswald Labs Python, React, SQL, Data Pipelines Delhi, India

• Developed a web application that extracted structured data from Electronic Health Record (EHR) systems, reducing data retrieval time by 30%.

• Implemented secure management of the health record database using EHR datasets to develop and test the application, and set up automated export systems for GDPR compliance and reliable data transfer to other systems, improving data processing speed by 25%.

Education

Rochester Institute of Technology Rochester, NY

Master’s of Science, Computer Science (Advanced Certificate in Big Data) Aug 2022 – Dec 2024 Relevant Coursework: Advanced OOP Concepts, Computational Problem Solving, Algorithms, Artificial Intelligence, Data Security Privacy, Cryptography, Computer Vision, Database System, Geographic Information Systems Guru Gobind Singh Indraprastha University Delhi, India Bachelor’s of Technology, Computer Science Engineering Aug 2018 – Jun 2022 Technical Skills

Languages: Java, Python, C/C++, SQL, Javascript, HTML/CSS Frameworks: React, Node.js, Flask, JUnit, WordPress, Material-UI, FastAPI, Tensorflow.JS, PyQt5 Developer Tools: AWS, Git, Google Cloud, Azure, Visual Studio, PyCharm, IntelliJ, Docker, Ansible, Jenkins, Agile Data Analytics: Data Wrangling, Data Pipelines, ETL, Power BI, Tableau, Machine Learning, Data Warehousing Projects

Cricket Strategy Analysis and Simulation Project Python, PyQt5, Scikit-learn May 2024 – Dec 2024

• Phase 1: Developed a Fantasy Cricket League game with a PyQt5 GUI, enabling users to create teams and track scores based on real match data. Built a comprehensive player performance dataset for analysis.

• Phase 2: Created a hybrid model using Random Forest & XGBoost, suggesting optimal bowling strategies considering real-time match context (batsman type, pitch conditions), enhancing predictive accuracy & adaptability. Web-Based Research & H2 Database Enhancement HTML/CSS, JavaScript, Git Mar 2024 – Aug 2024

• Led the development and deployment of a comprehensive research project, involving website creation and technical documentation using HTML/CSS, JavaScript, and Git for version control.

• Enhanced database functionality through H2 database analysis and feature integration, leveraging analytical and collaborative skills to refine project deliverables. Real-time Facial Landmark Detection App Tensorflow.JS, React Mar 2023 – Jul 2023

• Developed a real-time facial landmark detection app using Tensorflow.JS and React.

• Optimized model performance and integrated webcam feed to create a user-friendly web application.

• Received positive user feedback for accurate detection, intuitive interface, showcasing strong problem-solving skills.

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