class Asritha:

    name        = "Asritha Kristapati"
    role        = "Data Engineer & Full-Stack Developer"
    university  = "SRM University AP — CSE (Big Data Analytics)"
    gpa         = "8.7 / 10"
    location    = "Hyderabad, Telangana, India"
    blog        = "https://asritha353.github.io/project-blog/"

    focus = [
        " Incremental ETL Pipelines & Data Warehousing",
        " Explainable AI (XAI) Research",
        " Full-Stack Backend & Database Engineering",
        " Business Intelligence & Analytics",
        "  DevOps Monitoring & Infrastructure",
    ]

    highlights = [
        " IEEE-published XAI researcher",
        " Deloitte Virtual Internship — Data Analytics (Forage)",
        "  Built incremental ETL pipeline processing Amazon sales data",
        " Backend & DB engineer for RentEase — full-stack rental platform",
        " Power BI dashboards with star schema data warehouse",
        " Active project blog @ asritha353.github.io/project-blog/",
    ]

    currently_building = "Production-grade data systems and backend APIs"

End-to-end incremental ETL pipeline that extracts, transforms, and loads Amazon sales data into a star schema PostgreSQL data warehouse — with automated change detection and Power BI dashboards.

Key Features:

• Incremental loading — detects and processes only new/changed records (no full reloads)
• Star schema design — fact & dimension tables optimized for analytical queries
• Python stack — Pandas for transformation, SQLAlchemy for ORM-based loading
• Power BI dashboards — sales trends, regional breakdowns, product performance
• Reusable pipeline architecture — modular extraction, transformation, loading stages

A production-grade rental property management platform with a robust backend API, relational database, and role-based access for landlords and tenants.

My Contribution — Backend & Database Engineering:

• RESTful API built with Node.js + Express — properties, bookings, users, payments
• PostgreSQL schema design — normalized relational model with foreign keys & constraints
• Prisma ORM — type-safe database access, migrations, and seed scripts
• Role-based auth — landlord vs tenant permissions with JWT authentication
• 42 functional requirements implemented across a 7-table database schema

Research internship resulting in an IEEE-published paper on Explainable AI (XAI) — making machine learning model decisions transparent and interpretable.

• Published at IEEE Conference
• Focus: model interpretability, feature attribution, XAI techniques
• Conducted as a formal research internship

Personal technical blog documenting data engineering projects, learnings, and walkthroughs.

** Andhra Pradesh, Viyawada, India · SRM University AP**

• "Building data systems that are reliable, explainable, and built to scale."*