Pradnil Birje

Data Analyst

I analyze $8.34B in sales and $4.79B in profit. Building SQL, Power BI, Excel, and Python solutions that uncover what drives business performance.

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pradnil_analytical_framework.sh
01. ASK & PREPARE

Defining business scope. Structuring relational Star Schemas.

02. PROCESS & ANALYZE

Python EDA. Writing optimized SQL CTEs & window functions.

03. SHARE & ACT

Engineering high-utility DAX measures inside Power BI layouts.

LIVE DATA MONITOR STREAM:

$ bash executing_pipeline.sh...

ENGINE PHILOSOPHY: QUALITY > QUANTITY
PIPELINE INTEGRITY: 100% DEPTH RESOLUTION
Framework Engine: Active Analytics Stream

01 - About Me

Pradnil Birje

Pradnil Birje

I am an aspiring Data Analyst focused on transforming raw, unstructured enterprise datasets into scalable visual data engines. Currently, I am expanding my technical foundation by building production-grade data pipelines, mastering robust database architectures, and modeling complex schemas.

Over the past two years, I mastered advanced SQL, schema modeling, and custom Power BI DAX infrastructure logic to drive measurable business impact.

Outside of writing optimized SQL window functions and fine-tuning dashboards, I am deeply driven by continuous learning at the intersection of technology and design. I dedicate my personal time to exercise, reading, improving myself as a person & spirituality.

More About Me View Case Studies

02 — WHAT I WORK ON

From raw databases to production business intelligence

The business analytics problems I love solving.

Diagnostic & Exploratory Analytics

Utilizing Python (Pandas, NumPy) and SQL queries to profile, filter, and clean raw datasets. I focus on handling missing values, standardizing formats, and conducting exploratory data analysis (EDA) to uncover critical anomalies and performance factors.

Production BI Engineering

Transforming clean datasets into interactive, highly scannable Power BI dashboards. I model star schema data architectures and author calculated columns and basic measures using DAX logic to track core key performance indicators (KPIs).

Data Pipelines & Processing

Structuring reproducible data cleaning and transformation scripts. I write structured SQL queries, window functions, and Joins to join disparate tables, aggregate tracking metrics, and prepare pristine data arrays ready for visualization.

03 — TECHNICAL TOOLING

The Data Stack I Reach For

Engineered data environments & analysis frameworks

Data Analysis & Visualization

Core Competencies

  • Exploratory Data Analysis (EDA)
  • Statistical Modeling & Distribution
  • Interactive Dashboard Prototyping
  • Data Storytelling & Executive Reports

Tools & Frameworks

Python (Pandas) Matplotlib Seaborn Advanced Excel

Programming & Data Handling

Core Competencies

  • Relational Database Management (RDBMS)
  • ETL Pipeline Engineering
  • Data Manipulation & Subsetting
  • Query Optimization & CTEs

Tools & Frameworks

Advanced SQL MySQL Python (NumPy) Data Cleansing

Reporting & Business Intelligence

Core Competencies

  • Data Warehouse Schema Design
  • Custom DAX Infrastructure Logic
  • Performance Parameter Tuning
  • Cross-Functional KPI Metrics

Tools & Frameworks

Power BI Desktop DAX Logic Data Modeling Power Query

Tools & Platforms

Core Competencies

  • Version Control Workflows
  • Collaborative Project Repositories
  • Production-Grade Code Storage
  • Agile Analytics Pipelines

Tools & Frameworks

Git Ecosystem GitHub Desktop VS Code IDE Jupyter Notebooks

04 - Selected Work

Analytics Case Studies

SQL / MySQL

E-commerce Sales & Customer Analytics

This project simulates a real-world e-commerce business database to analyze customer behavior, sales performance, product trends, and return patterns using SQL.

Explore Case Study
Power BI / DAX

Sales Performance & Profitability Analysis

This project is an interactive Power BI dashboard developed using the Contoso retail dataset to analyze global sales performance, profitability, customer behavior, and product trends.

Explore Case Study

05 — ARTICLES & INSIGHTS

Latest Data Analytics Publications

Writing about data paradigms, case studies, and engineering workflows
Data Analytics vs Data Analysis
Industry Paradigms
Pradnil Birje Oct 20, 2025

Data Analytics vs Data Analysis: Here’s What I Have Learned

Demystifying the foundational boundary lines between business descriptive data modeling and structural diagnostic pipeline engineering workflows.

Read Article

06 — CONNECT WITH ME

Let’s Start a Conversation

Open for full-time Data Analyst roles and technical collaborations

Current Status: Actively Interviewing

Hiring & Opportunities

I am currently seeking full-time opportunities as a Junior/Associate Data Analyst, Business Intelligence Engineer, or Data Infrastructure Specialist.

Location Baseline

Mumbai, Maharashtra, India

Direct Inbox

pradnilbirje01@gmail.com