AI. Data. Products.
I specialize in building intelligent systems using AI, Machine Learning, and Data Analytics. Whether it's developing LLM applications, designing automation tools, or transforming data into actionable insights, I enjoy creating solutions that simplify complex problems and improve the way people work.
Core Competencies
Machine Learning
LLMs
Data Science
Data Analytics
Experience
AI Intern — Honeywell
- Built autonomous AI agents using Python and OpenAI LLMs.
- Developed Model Context Protocol (MCP) server tools for natural language querying.
- Designed a heuristic 3D palletization algorithm achieving 80% warehouse utilization.
Data Science Intern — SpacECE India Foundation
- Built multilingual AI Bedtime Story Generator using Gemini API.
- Developed Parent-Child Activity Planner using Flask, MongoDB, and Machine Learning. Achieved 91% model accuracy.
Data Analyst Intern — Db4Cloud Technologies
- Built end-to-end BI solutions using Star Schema and Power BI dashboards for actionable business insights.
- Created HR Analytics dashboards using DAX and automated data quality checks to improve KPI reporting and decision-making.
AI Intern
Honeywell
MCP Server Tools
Developed Model Context Protocol (MCP) server tools enabling natural language querying of complex systems. This made AI capabilities accessible to non-technical stakeholders across the organization.
Autonomous AI Agents
Built autonomous AI agents using Python and OpenAI LLMs. These agents automated developer workflows, reducing manual effort and improving productivity across enterprise-scale operations.
3D Palletization Algorithm
Designed a heuristic 3D palletization algorithm achieving 80% warehouse utilization—translating directly into measurable operational efficiency and cost savings.
Data Science Intern
SpacECE India Foundation
AI Story Generator
Built a multilingual AI-powered bedtime story generator using the Gemini API, enabling parents to create personalized stories for their children in multiple languages. The application leveraged large language models to generate engaging, age-appropriate narratives dynamically.
Parent-Child Activity Planner
Developed a Parent-Child Activity Planner using Flask, MongoDB, and Machine Learning to recommend personalized activities based on user preferences and behavioral patterns.
Key Results
91% Model Accuracy
Achieved through feature engineering and model tuning on the activity recommendation system.
Multilingual Support
Story generator supporting multiple regional languages via Gemini API integration.
Full-Stack Deployment
End-to-end development using Flask backend, MongoDB database, and ML models in production.
Inboxpert
AI Email Productivity Agent
Inboxpert is an AI-powered email productivity agent that helps professionals manage their inbox intelligently. Built with Python, Qwen 2.5, SQLite, and Gradio, it automates the most time-consuming aspects of email management categorization, action extraction, reply generation, and summarization so users can focus on work that matters.
Core Features
- Email categorization and smart prioritization
- Action item extraction from email content
- AI-powered reply generation
- Intelligent email summarization
- Prompt management and customization
MediSinCare — Healthcare AI Platform
MediSinCare is a healthcare AI application that empowers users with intelligent symptom analysis, disease prediction, and personalized health recommendations. Built with Python, Machine Learning, and Flask, and deployed on Render, it combines clinical data with ML models to deliver accessible healthcare guidance.
Disease Prediction
Predicts potential conditions from user-reported symptoms using trained ML models, covering 36 diseases across 100+ symptoms.
Diet Recommendation
Generates personalized dietary suggestions based on predicted conditions and individual health profiles.
Home Remedies
Provides evidence-based home remedy suggestions to support recovery and symptom management.
Yoga Recommendation
Recommends targeted yoga practices aligned with the user's health condition and wellness goals.
Symptoms Covered
Diseases Predicted
Technical Expertise
Programming
- Python
- SQL
- Git
- Flask
- PySpark
Machine Learning
- Scikit-learn
- TensorFlow
- Hugging Face
- NLP
Data Analytics
- Power BI
- Tableau
- Excel
- DAX
- EDA
Databases
- SQLite
- MySQL
Achievements & Publications
🏆 DataVerse Case Competition — Top 10 Nationally
Ranked in the top 10 teams nationally out of 1,290+ competing teams. Analyzed ₹24.6M in sales data across 3,000+ customers, delivering actionable business insights through advanced data analytics and visualization techniques.
Publications
Predictive Analytics: Leveraging ANN for Crop Yield Forecasting
Research applying Artificial Neural Networks to agricultural yield prediction, demonstrating the potential of deep learning in precision farming.
An Associative Memory Approach to Predict Autism Spectrum Disorder
Novel research exploring associative memory models for early ASD detection, contributing to the intersection of neuroscience and machine learning.
Let's Build Something Intelligent Together.
Certifications
Google Data Analytics Professional Certificate
Comprehensive certification covering data cleaning, analysis, visualization, and decision-making with real-world case studies.
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Validated expertise in cloud-based data science workflows, ML operations, and OCI infrastructure for AI workloads.
Connect With Me
Open to opportunities in AI Engineering, Data Science, and ML-focused product roles. Whether you're a recruiter, a fellow engineer, or just curious about my work, I'd love to connect.
📧 [email protected]
📞 +91 83519 18450
Hi, I'm Mridul. Building AI that matters.