Bhavya Chokshi

First-year Bachelor of Science student in Data Science and Applications at Indian institute of Madras with a strong interest in AI-driven applications, Product Management, and problem-solving. Experienced in building beginner-level AI projects using no-code builders and developing technical skills in Python, and end-to-end production. Seeking internship opportunities to gain hands-on industrial and research experience in web development and AI/ML roles

AI & Operations Intern at JunoHub (2026-06 – 2026-07)

• Designed and implemented an automated invoice generation system using Google Apps Script, significantly reducing manual administrative work by generating professional PDF invoices with unique invoice numbers and maintaining organized financial records.
• Developed an end-to-end email automation workflow integrated with Google Workspace to automatically deliver invoices and personalized confirmation emails to participants upon successful registration, improving operational efficiency and communication consistency.
• Built multiple n8n workflow automations to streamline internal business processes and customer engagement, including:
• WhatsApp Automation: Automated customer interactions, notifications, and follow-up messaging through workflow integrations.
• Instagram Automation: Created automated workflows for handling social media interactions, improving response times and reducing repetitive manual tasks.
• Designed and developed a web-based survey platform integrated with Google Forms, creating a user-friendly interface for collecting structured research data while ensuring seamless synchronization of responses into Google Forms for analysis.
• Assisted in optimizing organizational workflows by identifying repetitive operational tasks and converting them into automated processes, reducing manual effort and improving execution speed.
• Worked extensively with Google Apps Script, Google Workspace APIs, n8n, JavaScript, HTML/CSS, and workflow automation tools to build scalable internal solutions.
• Collaborated with team members to gather operational requirements, troubleshoot workflow issues, and continuously improve automation reliability and user experience.
• Contributed to digital transformation initiatives by introducing automation-first solutions for administrative operations, customer communication, and data collection.

Machine Learning Intern at FlyRank.ai (2026-07 – Present)

• Frame real-world search optimization problems into machine learning tasks, including classification, ranking, and scoring.
• Analyze search datasets using Python to perform exploratory data analysis, feature engineering, and data validation.
• Design baseline ML approaches by defining target variables, evaluation metrics, and decision-oriented workflows.
• Build and evaluate interpretable baseline models while identifying issues such as data leakage, overfitting, and feature bias.
• Work with large-scale search analytics datasets using Jupyter Notebooks, Pandas, and Hugging Face-hosted data.
• Develop research notebooks documenting ML experimentation, data contracts, and model reasoning following reproducible workflows.
• Apply machine learning concepts including supervised learning, ranking systems, and search relevance optimization to real business datasets.

Bachelor of Science (B.Sc) in Data Science and Applications – Indian Institute of Technology, Madras (2026 – 2030)

High School Graduate – Photon School (2025)