Praneeth Varma Danthuluri — Data Analyst & Analytics Engineer

About

From raw data to decisions that ship

I'm a Data Analyst and Analytics Engineer with an MSc in Artificial Intelligence and 4+ years of professional experience — including 2+ years building ELT/ETL pipelines, dimensional data models, and Power BI dashboards across the modern data stack: dbt, Airflow, Microsoft Fabric, and Snowflake.

I have a proven track record of automating reporting workflows (~40% effort reduction), orchestrating reliable daily data pipelines, and delivering analytics-ready datasets that drive senior stakeholder decision-making.

What sets my work apart is the full-stack view: I don't just build dashboards — I own the pipeline behind them, from ingestion and modelling through data quality tests, governance, and the final semantic layer stakeholders actually use.

Modern data stack, end to enddbt · Airflow · Fabric · Snowflake · Power BI

Automation with measurable impact~40% reporting effort reduction in production

Governance-minded deliveryData quality tests, integrity controls, audit-ready docs

Available immediatelyIreland · Stamp 1G work authorisation

Skills

The toolkit

Grouped the way real analytics work happens — analysis, visualisation, engineering, infrastructure, ML, and delivery.

Analytics & Languages

SQL (Advanced)Python (Pandas, NumPy)EDAStatistical AnalysisData Cleaning & ValidationFeature Engineering

BI & Visualisation

Power BI (Advanced)DAX (Advanced)Power Query (M)TableauLooker Studio (Advanced)StreamlitMatplotlib

Data Engineering

ELT/ETL Pipeline OrchestrationMicrosoft Fabric (Lakehouse, Data Factory, Semantic Models)dbt (Advanced)Apache Airflow (Advanced)Dimensional ModellingData Warehousing

Databases & Cloud

MySQLSQL ServerSnowflakePySparkAWSAzureDockerGitCI/CD

ML & AI

Machine LearningScikit-learnTensorFlowCNNLSTMTransfer LearningPredictive Modelling

Governance & Delivery

Data GovernanceIntegrity ControlsAudit ReadinessAgile/Scrum

Experience

Where I've delivered

Four years across analytics engineering, reporting, and software delivery — most recently owning the full data stack for a multi-site retail operation.

Data and Operations Analyst

May 2023 – Mar 2026

JKSR Trading LimitedDublin, Ireland

Automated Reporting Pipeline: Replaced manual weekly reporting across 3 retail locations with an automated Power BI and Microsoft Fabric solution — cutting reporting effort by ~40% and enabling real-time KPI visibility
Analytics-Ready Data Modelling: Engineered dbt Core pipelines (staging to mart layers) for retail sales and inventory data, implementing automated data quality tests
Reliable Daily Data Refreshes: Orchestrated scheduled ETL workflows using Apache Airflow — DAGs with task dependencies, retries, and failure alerting

Centralised Data Warehouse: Migrated cleaned data into Snowflake, writing SQL queries and views as the single source of truth for downstream Power BI reporting
Forecasting & Trend Prediction: Built forecasting and trend prediction scripts in Python to support demand planning and inventory decisions
Root Cause & Governance: Investigated data issues to identify root causes, maintained data integrity standards and audit-ready documentation
Stakeholder Collaboration: Partnered with operations and business teams to translate requirements into analytical tasks

Project Service Coordinator

Jan 2022 – Dec 2022

Mokshar Creative StudiosHyderabad, India

Used SQL and Excel to translate business requirements into structured reporting frameworks
Maintained project data tracking systems to support traceability and informed decision-making
Prepared reports and visualisations to communicate trends to senior stakeholders

Assistant Software Engineer

Mar 2021 – Dec 2021

Tavant TechnologiesBengaluru, India

Designed RESTful APIs enabling efficient data access and integration across platforms
Implemented CI/CD pipelines and automated testing using Git
Contributed to data-driven product improvements in Agile/Scrum environments

Projects

Selected work

End-to-end builds — from data pipeline to deployed interface.

Production · Modern Data Stack · 2023–2026

Retail Operations Analytics Platform

End-to-end operational analytics platform for a 3-location retail business: dbt Core models (staging to marts) with automated data quality tests, Airflow-orchestrated daily refreshes, Snowflake as the single source of truth, and Power BI + Microsoft Fabric dashboards — cutting reporting effort by ~40%. Python forecasting scripts support demand planning and inventory decisions.

dbtAirflowSnowflakePower BIMicrosoft FabricPython

MSc Thesis · NCI Dublin · 2025

Network Intrusion Detection System

Hybrid CNN-LSTM model detecting DDoS, Botnet, and Brute Force attacks in real time — 98.2% F1-score on the CIC-IDS2017 dataset (2.8M+ records). End-to-end Python pipeline with SMOTE for class imbalance; real-time Streamlit monitoring dashboard containerised with Docker.

PythonTensorFlowScikit-learnDockerStreamlit

View on GitHub

Computer Vision · Transfer Learning

Car Damage Classification System

Benchmarked VGG16, ResNet50, and EfficientNet transfer-learning architectures for automated vehicle damage detection — a rigorous, comparative deep-learning evaluation for a real-world insurance-adjacent use case.

PythonTensorFlowCNNsTransfer LearningGit

View on GitHub

ML · Imbalanced Classification

Credit Card Fraud Detection System

Benchmarked Logistic Regression, Random Forest, and Decision Tree classifiers; applied SMOTE and Grid Search with Cross-Validation for robust tuning. Deployed a Flask web interface for real-time fraud prediction.

PythonScikit-learnFlaskPandasJupyter

View on GitHub

Education

Academic foundation

MSc Artificial Intelligence

National College of Ireland, Dublin

2023 – 2025

BTech Computer Science Engineering

Vellore Institute of Technology, India

2017 – 2021

Available Immediately · Stamp 1G · Ireland

Let's build something data-driven

Open to Data Analyst, Analytics Engineer, and BI roles. If you need someone who can own the pipeline and the dashboard, get in touch.

praneethvarmaraju3@gmail.com +353 83 417 7274 LinkedIn GitHub