Open to opportunities

Daksha Mehta

@dakshamehta

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B.Tech IT student focused on ML, algorithms, and automation.

India

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What I'm looking for

I seek hands-on roles in ML/AI or automation where I can apply data engineering and algorithms to build impactful products, learn from mentors, and contribute to a collaborative, growth-focused team.

I am a B.Tech Information Technology student at ABV-IIITM Gwalior with strong foundations in data structures, algorithms, OOP, databases, and AI. I build practical ML and automation solutions — from churn prediction models achieving 85% test accuracy to an n8n-based chatbot handling 500+ monthly interactions and reducing support tickets by ~40%.

I lead initiatives as Vice Chair of the IEEE Student Branch, managing 20+ volunteers for events with 500+ attendees and running workshops that spurred 10+ student prototypes. I consistently apply rigorous engineering practices (Huffman-based compression, feature engineering across 10k+ records) and seek roles that let me deliver measurable impact through ML, automation, and strong software fundamentals.

Experience

Work history, roles, and key accomplishments

Current

Vice Chair, IEEE Student Branch

Current

ABV-IIITM Gwalior

Nov 2024 - Present (1 year 7 months)

Led a cross-functional team of 20+ volunteers to organize 6+ technical and cultural events for 500+ attendees, conducted Generative AI and IoT workshops upskilling 150+ students, and increased student engagement by 25% for the annual technical fest.

Event Management Team Leadership Generative AI IoT

Automation Engineer (Chatbot Workflow)

ABV-IIITM Gwalior (Student Project)

Oct 2025 - Present (8 months)

Built a low-code automated chatbot using n8n and webhooks handling 500+ monthly interactions, reduced response time to under 2 seconds, and cut manual support tickets by ~40% via JSON intent parsing.

N8n Webhooks JSON Workflow Automation Integration Bot Implementation Performance Optimization

Customer Churn Analyst

ABV-IIITM Gwalior (Student Project)

Aug 2025 - Present (10 months)

Developed predictive churn models on 10,000+ records, engineered 15+ features, and optimized classifiers to achieve 85% test accuracy while reducing false negatives by 12%; identified a 30% higher churn risk for month-to-month subscribers.

Python scikit learn Pandas Logistic Regression Random Forest Data Analysis Data Visualization

Developer — File Compression Tool

ABV-IIITM Gwalior (Student Project)

May 2025 - Present (1 year 1 month)

Architected a CLI file compression utility using Huffman Coding, achieving a 45% compression ratio on text datasets and reducing memory usage by 30% versus naive implementations while ensuring lossless integrity.

C++Data Structures Algorithms Huffman Coding CLI

Education

Degrees, certifications, and relevant coursework

Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior

Bachelor of Technology, Information Technology

Grade: 8.87/10.0

Activities and societies: Vice Chair of IEEE Student Branch; participated in hackathons and technical workshops; projects include customer churn prediction, automated chatbot workflow, and a C++ file compression tool.

Pursuing B.Tech in Information Technology with coursework in Data Structures & Algorithms, OOP, DBMS, Operating Systems, and Artificial Intelligence; current CGPA 8.87/10.0 and expected graduation May 2028.