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Poorvajain2005/README.md

πŸ› οΈ POORVA JAIN

Screenshot 2026-07-04 123512

PYTHON DEVELOPER , AI-ML | GEN-AI


πŸ“Š SYSTEM GRAPH METRICS (CORE COMPUTATIONAL LOAD)

🧠 Language & Core Logic Runtime

Python     [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ] 100%
SQL        [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘ ] 85%
C++        [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘] 85%

βš™οΈ Architectural Core Competencies

GEN-AI / LLMs     β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β–  100%
ETL PIPELINES     β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β–‘β–‘β–‘β–‘β–‘β–‘  82%
COMPUTER VISION   β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘  75%
BACKEND APIS      β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β– β–‘β–‘β–‘β–‘  90%


⚑ EXPERIENCE LOG

βš™οΈ Technology Intern | CA-Copilot

March 2026 – Present

  • πŸ€– Architecting AI Systems: Deployed AI/ML models and Natural Language Processing (NLP) automation modules to streamline financial compliance auditing.
  • πŸ› οΈ Backend Engineering: Designing robust backend REST APIs and optimizing SQL database structures to power automated IFRS 17 compliance workflows.

πŸ’» Frontend Intern | Young Thames

July 2025 – Sept 2025

  • 🎨 Client Architectures: Engineered highly responsive user interfaces using React.js and Tailwind CSS, improving overall cross-device UI rendering.
  • πŸ”Œ API Integration: Integrated microservice REST APIs for complex machine learning analytics dashboards, reducing load times.

☁️ ML & Cloud Intern | IBM

June 2025 – Aug 2025

  • 🧠 Pipeline Automation: Engineered scalable AI workflows and automated ML pipelines on IBM Cloud using WatsonX.ai and Watson Studio.
  • πŸ—„οΈ Data Workflows: Designed end-to-end data pipelines incorporating ETL practices, leveraging Cloud Object Storage for high-throughput querying.

πŸŽ“ AI-ML Virtual Intern | Google for Developers (EduSkills)

Summer 2025

  • πŸ“Š Model Training: Completed an intensive 10-week technical AI/ML track supported by AICTE, deploying advanced ML classification algorithms on real-world datasets.

πŸ“‚ CORE CAPABILITY MATRIX

 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ 🧠 AI / ML & DATA      // Scikit-learn, NLP, Computer Vision, CNN,     β”‚
 β”‚                           Generative AI, LLMs                          β”‚
 β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
 β”‚ πŸ›’οΈ DATA & CLOUD        // Azure Data Factory, ETL Pipelines, GCP,       β”‚
 β”‚                           IBM WatsonX.ai                               β”‚
 β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
 β”‚ πŸ—οΈ BACKEND & DEV       // Node.js, REST APIs, MySQL, MongoDB, Firebase, β”‚
 β”‚                           Docker, Kubernetes, Git, Postman             β”‚
 β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
 β”‚ 🎨 FRONTEND            // React.js Frameworks, Tailwind CSS Layouts,    β”‚
 β”‚                           JavaScript, HTML5 / CSS3                     β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜


πŸš€ PROJECTS

πŸ‘οΈ FixIt: AI-Based Civic Issue Detection

Python, CNN, OpenCV, React.js, REST APIs

  • 🚧 Built a computer vision prototype detecting urban infrastructure faults (potholes/garbage) using Convolutional Neural Networks (CNNs).
  • 🚨 Integrated a live notification engine via REST APIs to report real-time geographical data directly to monitoring dashboards.

πŸ“Š Demographic Data Insights Dashboard

WatsonX.ai, Azure Data Factory, IBM Cloud, ETL

  • πŸ“ˆ Built an enterprise-grade data intelligence dashboard orchestrating automated insight discovery pipelines on cloud architecture.
  • βš™οΈ Utilized Azure Data Factory to construct automated ETL pipelines, transforming raw demographic datasets into analytics-ready tables.

πŸ’¬ Instagram Chat Emotion Analyzer

Python, NLP, Scikit-learn, NLTK

  • 🧠 Designed an NLP sentiment analysis pipeline executing text preprocessing, Lemmatization, and TF-IDF vectorization.
  • πŸ“ˆ Built predictive models to parse chat text data, categorizing psychological and behavioral emotional trends.

πŸ† ACCREDITATION INDEX

  • 🌐 Oracle University: OCI Certified Generative AI Professional
  • ☁️ AWS Academy: Generative AI Foundations
  • βš›οΈ IBM SkillsBuild: Retrieval Augmented Generation (RAG) with LangChain
  • πŸ› οΈ IBM Matrix: Cloud Solutions Architect Credentials

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