Ayush M Singh
Aspiring Data Scientist / Data Analyst
Agra
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
1
1
year of professional experience
Work History
AIML Intern
Edunet Foundation
01.2026 - 02.2026
- Compiled, cleaned and manipulated data for proper handling.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
- Managed time efficiently in order to complete all tasks within deadlines.
- Paid attention to detail while completing assignments.
- Enhanced product appeal by designing creative and visually captivating content for various marketing campaigns.
AI Intern
Smartbridge
05.2025 - 06.2025
- Implemented machine learning models for predictive analytics, enabling better decision-making and forecasting capabilities.
- Ensured proper documentation of all work processes that helped create a knowledge base resourceful for future interns and team members.
- Participated in brainstorming sessions to develop creative solutions for challenging problems faced during project implementation stages.
- Trained neural networks for image recognition tasks, enhancing the overall system''s ability to accurately identify objects within images.
Education
Bachelor of Technology - Computer Science (Specialization in Data Science)
Vellore Institute of Technology
Vellore, India 04.2001 -
Higher Secondary Certificate - PCM
SSA Vidyapeeth
Agra, India 04.2001 -
Secondary School Certificate - Science
St. Paul's School
Agra, India 04.2001 -
Skills
Teamwork and collaboration
Problem-solving
Time management
Data-driven decision making
Data analytics
Machine learning
Timeline
AIML Intern
Edunet Foundation
01.2026 - 02.2026
AI Intern
Smartbridge
05.2025 - 06.2025
Bachelor of Technology - Computer Science (Specialization in Data Science)
Vellore Institute of Technology
04.2001 -
Higher Secondary Certificate - PCM
SSA Vidyapeeth
04.2001 -
Secondary School Certificate - Science
St. Paul's School
04.2001 -
Projects
1. Poultry Disease Diagnosis & AI Consultation System
- Hierarchical AI Architecture: Designed a two-stage "Bouncer-Doctor" CNN pipeline to prioritize false-negative reduction in avian diagnostics.
- Explainable AI (XAI): Integrated Grad-CAM heatmaps to provide visual transparency for model classification decisions.
- Grounded GenAI: Leveraged Gemini 2.5 Flash to synthesize professional, dictionary-mapped veterinary action plans.
- Full-Stack Deployment: Developed a production-ready web app using FastAPI and React with automated TensorFlow data cleaning.
- Deep Learning Classification: Built an end-to-end system using VGG16 Transfer Learning to identify 17+ nail-correlated health conditions.
- Feature Engineering: Extracted critical biomarkers including color histograms, texture homogeneity, and shape regularity via OpenCV.
- Real-Time Prediction: Deployed a Flask backend to process user-uploaded images and deliver probabilistic health screenings.
- Relational Database Design: Engineered a comprehensive PostgreSQL schema to manage and organize thousands of rows of streaming data.
- Advanced Querying: Authored 30+ complex SQL queries using Joins, CTAs, and Window Functions to uncover content distribution trends.
- Automated Content Engine: Developed an interactive Streamlit app using Pillow (PIL) for instant, AI-driven meme and poster generation.
- Dynamic Image Styling: Engineered a rendering engine for custom fonts, black-outline text, and API-sourced internet backgrounds.
- User-Centric Design: Built a modern Reddit-style UI with adjustable font scales and direct PNG download functionality.