Rohan Bandu Andelkar

Data Analytics Intern

• Built interactive dashboards for data visualization, performance tracking, and enterprise reporting.
• Analyzed complex datasets to extract actionable business insights and support data-driven decision-making.

Business Intelligence / Data Analytics Intern

• Developed and optimized interactive Power BI dashboards to track key performance metrics and visualize complex business datasets.
• Engineered data visualization and reporting pipelines to streamline the extraction of business insights from raw data.

Business Intelligence / Data Analytics Intern

• Developed and optimized interactive Power BI dashboards to track key performance metrics and visualize complex business datasets.
• Engineered data visualization and reporting pipelines to streamline the extraction of business insights from raw data.

AI Agent Architect Trainee

• Architected multi-step workflows for autonomous AI agents and intelligent automation systems.
• Utilized large language models (LLMs) and prompt engineering techniques for real-world deployment scenarios.

AI Agent Architect Trainee

• Architected multi-step workflows for autonomous AI agents and intelligent automation systems.
• Utilized large language models (LLMs) and prompt engineering techniques for real-world deployment scenarios.

Azure AI Intern

• Deployed scalable cloud AI solutions using Microsoft Azure Cognitive Services and integrated cloud infrastructure with machine learning endpoints.
• Constructed and implemented foundational AI models to support cloud-based application deployment.

AI Intern (Azure AI)

• Learned and applied concepts of: AI model development, Cloud-based AI solutions, Cognitive services and automation.
• Worked on practical implementations of AI in real-world scenarios.

Microsoft Specialist

• Explored and implemented cloud-based Artificial Intelligence solutions utilizing Microsoft Azure services.
• Built foundational models and integrated cloud infrastructure to support scalable AI applications.

Vice Chairperson

• Led the planning and execution of technical events, workshops, and seminars to drive student engagement.
• Coordinated cross-functional teams to manage event execution, provide technical support, and maintain operations.

Employee salary prediction

An end-to-end regression pipeline packaged as an interactive Streamlit experience. Developed an end-to-end regression machine learning pipeline utilizing Python and Scikit-learn. Deployed an interactive user web application using Streamlit to deliver salary predictions.

Python, Scikit-learn, Streamlit

Object Detection for Low Visibility Conditions

Built a real-time object detection system for autonomous driving, detecting 7 road object classes under fog, rain, snow, and nighttime conditions. Engineered a real-time object detection model utilizing PyTorch, YOLOv8, and OpenCV for autonomous driving applications. Applied two-stage transfer learning to accurately detect 7 road object classes across fog, rain, snow, and night environments.

Python, PyTorch, YOLOv8, OpenCV

GitHub

DDoS Attack Detection & Prevention Simulator

Built a browser-based simulation modeling normal vs. DDoS-like traffic. Constructed a browser-based simulator using React and JavaScript to model normal versus malicious traffic behavior. Visualized real-time network traffic spikes, server loads, and latency metrics to demonstrate abnormal request detection.

React, Vite, JavaScript

GitHub