Samuel Raj G

About Samuel Raj G

I turn raw, messy data into structured systems and decision-ready insights.I’m a fresher Data Analyst and BI Analyst with hands-on experience across the full data lifecycle — data ingestion, transformation, dimensional modeling, KPI reporting, and dashboard delivery. Alongside analytics, I build production-grade data pipelines on Snowflake and Azure, expanding into data engineering.Over the past year, I’ve built 20+ end-to-end projects across data warehousing, predictive modeling, business intelligence, and pipeline automation in e-commerce, healthcare revenue cycle, retail, banking, hospitality, and finance.On the analytics side, I work with SQL and Python to perform exploratory data analysis (EDA), statistical hypothesis testing, customer segmentation, cohort analysis, churn analysis, demand forecasting, revenue trend analysis, and KPI reporting. I design interactive Power BI dashboards covering revenue cycles, accounts receivable aging, denial rate, payer concentration, order fulfillment, and customer behavior.On the engineering side, I design ETL/ELT pipelines and data warehouses using Medallion Architecture (Bronze → Silver → Gold). I’ve implemented SCD Type 2, MERGE logic, Streams, Tasks, and Stored Procedures in Snowflake, and automated procedures in PostgreSQL (PL/pgSQL). I’ve built a modern data stack using DBT Core + Snowflake + AWS S3, and an Azure pipeline using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake Gen2, and Azure Synapse Analytics.Technical stack includes SQL, Advanced SQL, Python (Pandas, NumPy, Scikit-learn), Power BI (DAX, Power Query), Snowflake, PostgreSQL, DBT, Azure Data Factory, Azure Databricks, PySpark, MLflow, DVC, Streamlit, Flask, Docker, GitHub Actions, Excel, Power Automate, SharePoint.Key builds include:– Snowflake cloud data warehouse with SCD Type 2 and KPI dashboard– Azure end-to-end pipeline with Databricks and Synapse– Customer 360 & Product 360 analytics warehouse– E-commerce analytics (121K records) with B2B statistical testing– Healthcare AR dashboard and churn prediction model– ML pipelines with MLflow and DVC, deployed apps with Flask, Streamlit, DockerInternship experience includes Concentrix (Research Analyst), Unified Mentor (Netflix EDA & healthcare ML), and Shell-Edunet/AICTE (AQI prediction, 85% R²).Seeking entry-level Data Analyst, Business Intelligence Analyst, or Data Engineer roles where data quality and analytical depth drive real decisions.

Experience

1. Concentrix

   Present

Education

• JNTUH College of Engineering Hyderabad

  Bachelor of Technology - BTech, Computer Science and Engineering (AI & ML)

• Udemy

  DSA

• Coursera

  Data Science