AI / ML Enthusiast

Hi, I'm Poorna,
I Build Intelligent
Systems.

agent.py
# Initializing AI Agent...
from langchain import Agent
from torch import nn

class DataScientist(AI_Engineer):
def __init__(self):
self.name = "Poornachandra"
self.core_focus = ["Deep Learning", "Generative AI"]

def build_system(self, data, vision):
try:
model = self.architect_network(data)
return self.deploy_to_production(model, vision)
except ComplexityError:
return self.optimize_architecture()

poorna = DataScientist()
status = poorna.build_system(raw_chaos, intelligence)
>>> [200 OK] Intelligent system active and scaling.

What I Specialize In

Data Engineering

End-to-end data pipelines — from collection and cleaning to feature engineering. Experience with Pandas, NumPy, SQL, and MongoDB for handling complex datasets at scale.

  • ETL Pipeline Design
  • Feature Engineering
  • Data Visualization

Model Development

Designing and training deep learning architectures — CNNs, Transformers, YOLO. Proficient with PyTorch, TensorFlow, and Scikit-Learn for classification, detection, and generation tasks.

  • Computer Vision (YOLO, CNNs)
  • NLP & Transformers
  • Generative AI & LLMs

MLOps & Deployment

Production-ready AI services with Flask, Docker, and Kubernetes. Building monitoring pipelines, CI/CD workflows, and scalable inference APIs for real-world applications.

  • Flask & REST APIs
  • Docker & Kubernetes
  • Model Monitoring & CI/CD

Recent Repository Highlights

A selection of projects spanning machine learning, computer vision, NLP, and full-stack AI applications.

01 //

Myntra_scrapper

web scraping application designed to extract and analyze customer reviews from the Myntra e-commerce platform

Python ML Scikit-Learn
02 //

Phishing Classifier

Built a machine learning model to detect phishing URLs with high accuracy.

Python ML Pandas
03 //

Climate_visibility

To develop a machine learning model that can accurately predict the maximum visibility distance in a given location and weather condition.

Flask K-Means Logistic Reg Scikit-Learn
04 //

ResearchLens

research paper analysis tool that lets you upload any academic paper and interact with it through 4 specialized analysis modes

Flask LLM LangChain RAG Supabase
05 //

Personal Angry AI Assistant

Angry AI assistant capable of performing daily tasks and answering queries.

AI LangChain API Integration AngryAI
06 //

Brain Tumor Detection

A deep learning–powered web application for brain tumor segmentation using YOLOv11n.

Flask YOLOv11n Deep learning Computer Vision
07 //

Helmet Detection

Real-time helmet detection using YOLOv8 for industrial safety applications.

YOLOv8 Computer-Vision Deep Learning
08 //

Customer_category

Categoring the customers based on their purchase history and demographics

Clustering ML Python

Technical Skills

Tools, frameworks, and technologies I work with daily to build production-grade AI systems.

Python
Pandas
NumPy
SQL
Machine Learning
Deep Learning
NLP
Generative AI
Scikit-Learn
Data Visualization
MongoDB
Docker
Kubernetes
MLOps
Power BI
GitHub
Computer Vision
LLM
HuggingFace
LangChain
Flask

Who I Am

Poornachandra, Data Scientist

I am a passionate Data Scientist dedicated to solving complex problems through data-driven insights and intelligent systems. My journey began with a curiosity for how machines learn and has evolved into deep expertise in building robust AI models and scalable data pipelines.

I thrive in environments where I can challenge the status quo and innovate. When I'm not training models or wrangling data, I'm exploring the latest in Generative AI, contributing to open-source projects, or visualizing data in new and creative ways.

Education

Bachelor of Engineering, Information Science
PES College of Engineering

Get In Touch

Have a project in mind or want to collaborate? Drop me a message.

Ready to Deploy the Next
Intelligent Solution?

Let's build something extraordinary together.

Initiate Contact