Arnav Singhal#AIArnav Singhal DL#ML-4829- Data Scientist & AI Engineer
Transforming complex data into intelligent solutions | Southampton, UK
Specialized in Machine Learning, Deep Learning, and Cloud AI with proven track record at Jio, Microsoft, and iNeuron.ai
94% Accuracy on Brain Tumor Segmentation | 97% Supply Chain Optimization | 5+ Major Projects Deployed
About & Expertise
I'm a passionate Data Scientist pursuing my Master's in Data Science at University of Southampton, with a strong foundation in AI from University of Mumbai. My journey spans from brain tumor segmentation at Jio Platforms to customer segmentation at Microsoft, consistently delivering high-impact solutions.
Education
Certifications
Core Expertise
Key Achievements
Professional Journey
Career progression through prestigious companies and impactful projects
Coder Legions
AI/ML Content Creator • January 2025 – Present
Created engaging and informative content on Artificial Intelligence and Machine Learning, including tutorials, articles, and practical project guides, aimed at educating and engaging the AI/ML community.
Jio Platforms Limited
Deep Learning Intern • June 2023 – August 2023
Developed U-Net CNN for brain tumor segmentation achieving 94% accuracy, enhanced MRI diagnostics using OpenCV and NumPy. Implemented advanced image processing techniques for medical imaging applications.
Microsoft
Data and AI Intern • May 2022 – June 2022
Deployed K-Means Clustering for customer segmentation using Azure ML pipelines, integrated insights into Power BI dashboards. Streamlined data processing workflows for enterprise-scale analytics.
iNeuron.ai
Machine Learning Intern • Oct 2022 – Dec 2022
Built predictive model for concrete compressive strength using Gradient Boosting achieving 92.6% accuracy, deployed via Flask and Docker. Optimized model performance for production environments.
Impact Metrics
Skills Progression
AI & Machine Learning
Development & Cloud
Featured Projects
Demonstrating technical excellence and problem-solving capabilities through detailed project showcases with live links and measurable outcomes
Pharmaceutical Supply Chain Management
XGBoost and Random Forest models optimizing supply chains with exceptional accuracy in transport mode and freight cost predictions.
Police Smart - Intelligent Complaint Management
Decision tree model and sentiment analysis system for intelligent case prioritization and complaint management.
AWS-Based ChatPDF RAG System
LangChain and Bedrock integration creating an intelligent PDF Q&A system with retrieval-augmented generation.
Gemma-Based Multi-Agent Reasoning Assistant
Advanced LLM math solver utilizing multi-agent reasoning with Wikipedia search integration for comprehensive problem-solving.
Ready to solve complex data challenges together?
Collaboration Opportunities
Available for Full-time & Internship Opportunities
Open to Consulting Projects
Interested in Research Collaborations