KRISHNA
ABOUT
ABOUT ME
Bridging software engineering precision with analytical clarity.
I’m Krishna Prasad, a final-year Computer Science Engineering student focused on Data Engineering and Data Analytics.
I enjoy working with raw datasets, transforming them through structured pipelines, and presenting meaningful insights through dashboards and visualization.
My interests include ETL workflows, data platforms, analytics engineering, business intelligence and cloud-based data processing.
CURRENTLY EXPLORING
TECHNICAL SKILLS
Engineered for data fidelity, cloud scale, and strategic visual intelligence.
DATA ANALYTICS
Translating raw business numbers into intuitive visual narratives, automated KPI monitors, and decision-support systems.
DATA ENGINEERING
Architecting resilient multi-hop data pipelines, automated testing, CDC streams, and modern lakehouse structures.
PROGRAMMING & DATABASES
Writing clean, modular code and crafting high-efficiency queries across relational and distributed storage systems.
CLOUD & DATA PLATFORMS
Deploying and governing analytical workflows across enterprise cloud infrastructures and object stores.
DEVELOPMENT & TOOLS
Version control, collaborative workflows, interactive development, and code reproducibility.
THE DATA LIFECYCLE
“I don't just analyze data. I build the path that makes data useful.”
TRANSFORMATION
Medallion staging: cleaning, casting, deduplication, SCD Type 1 & 2 snapshots, and automated quality assertions.
> STATUS: HEALTHY / VALIDATED
> PAYLOAD:
ref('silver_bookings') | SCD Type 2 | tests: [not_null, unique]
SELECTED WORK
End-to-end data pipelines, lakehouse architectures, and executive BI dashboards.
BMW Sales Dashboard (India 2024–2025)
Interactive Power BI command center analyzing BMW India's financial performance, model profitability, regional market share, and revenue trends.
Airbnb End-to-End Data Pipeline
Production-grade pipeline leveraging Snowflake, dbt Core, and AWS S3 with Medallion Architecture, SCD Type 2 snapshots, and automated testing.
Databricks Aviation & Reservation ETL
End-to-end lakehouse pipeline using Databricks Auto Loader, PySpark Structured Streaming, Delta Live Tables (DLT), and Unity Catalog.
Starbucks India 10-Year Sales Analytics
Power BI interactive visual suite analyzing a decade of Starbucks India sales, category profitability, and regional temporal shifts.
Customer Shopping Behavior Analytics
End-to-end analytics workflow combining Python feature engineering, PostgreSQL relational queries, and an interactive Power BI dashboard.
AI-Driven UPI Fraud Detection System
Behavioral anomaly detection system powered by Isolation Forest, dynamic 0–100 risk scoring, Flask backend, and a real-time Streamlit dashboard.
KRISHNA PRASAD
DATA CRAFTSMANSHIP • ARCHITECTURAL CLARITY • VISUAL IMPACT
Data is chaotic until sculptured with intention.
Whether writing high-throughput PySpark scripts, tuning Snowflake clusters, or architecting multi-hop dbt models, I approach every system like a piece of precision engineering.
ANALYTIC RIGOR
Every metric reflects an uncompromised single source of truth.
VISUAL PRECISION
Clean design elevates complex findings into swift executive action.
PROFESSIONAL EXPERIENCE
Proven impact across data engineering pipelines and business analytics.
Data Engineering Intern
UnAbandon AI
Engineered and optimized 3 robust ETL data pipelines processing over 50,000+ records daily, streamlining data flow and reducing total processing time by 30%.
Automated comprehensive data quality validation checks across 10+ diverse data sources, elevating data accuracy from 85% to 98%.
Collaborated within a 5-member cross-functional engineering team, designing scalable, high-performance data architectures to power core AI-driven applications.
Data Analytics Intern
Brainwave Matrix Solutions
Processed and analyzed 100,000+ data points utilizing Python and SQL, translating raw records into actionable insights incorporated into 3 strategic business reports.
Designed and deployed 4 interactive Power BI dashboards, eliminating reporting redundancies and reducing manual effort by 40%.
Delivered precision analytical recommendations that enhanced marketing and operational campaign efficiency by 15%.
Digital Media & Visual Design Lead
Creative Media & Visual Direction
Directed cinematic presentation visual design, event storyboarding, and interactive UI styling for major departmental symposia.
Synthesized technical data architecture into compelling, high-impact visual decks and creative digital assets.
Championed typography, motion design, and high-contrast dark aesthetics across creative project showcases.
FORMAL EDUCATION
Computer science fundamentals, distributed systems, and algorithmic problem solving.
B.E. Computer Science and Engineering
National Engineering College
Specializing in Data Engineering, Lakehouse Architecture, and Cloud Analytics
Solved 1,400+ algorithmic and coding problems on Skillrack
Solved 50+ LeetCode problems covering data structures and algorithms
Awarded NPTEL Discipline Star in Computer Science & Engineering
INDUSTRY CERTIFICATIONS
Verified platform credentials in Snowflake, Databricks, database design, and cloud analytics.
SnowPro Associate: Platform Certification
Databricks Fundamentals Accreditation
Get Started with Databricks for Data Engineering
Database Management System Part - 1
AI Agents Masterclass
Discipline Star — Computer Science & Engineering
