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Taruniben Atodariya

@tarunibenatodariya

Message

Data Analyst: I turn raw data into actionable insights through ETL, automated dashboards, and statistical modeling.

United States

Message

What I'm looking for

I’m looking for a role where I can own end-to-end ETL and automated dashboards, apply forecasting and A/B testing, and communicate results clearly to executives so teams make faster, data-driven decisions.

I’m a Data Analyst with 6+ years of experience transforming raw data into actionable insights across finance, operations, and technology. I engineer end-to-end ETL pipelines in Python and build automated, executive-facing reporting using Power BI, Tableau, and Looker Studio—cutting turnaround times (e.g., 40%) and improving data consistency (99%+), while also uncovering material issues through reconciliation (including $50K in billing errors).

I also bring a strong analytics foundation—running A/B testing, forecasting, and statistical modelling to surface revenue leakage patterns and optimize decisions. I translate complex datasets into clear narratives for non-technical stakeholders, collaborate cross-functionally, and deliver dashboards that enable faster, daily data-driven management choices.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Super 8

Feb 2026 - Present (6 months)

Engineered end-to-end Python ETL pipelines to extract, clean, and standardize guest and transaction records, improving data consistency and surfacing billing errors via reconciliation. Built automated Power BI dashboards for revenue and operational KPIs and performed seasonal demand forecasting to optimize pricing and identify revenue leakage.

Python ETL Data Cleaning Data Standardization Reconciliations Power BI Power Automate Forecasting Statistical Modeling Competitive Benchmarking Pricing Strategy Demand Forecasting

Data Automation Intern

Springer Capital

Mar 2025 - Jun 2025 (3 months)

Automated cross-department data pipelines using Python, Power Automate, and REST APIs to extract and standardize HubSpot and Salesforce data, improving data accuracy and reporting accessibility. Built RESTful API services in Python and Django, created Power BI KPI dashboards, and documented workflows using Flask, Docker, and CI/CD.

Python Power Automate REST APIs HubSpot Salesforce Django RESTful Services Power BI Flask Docker CI CD

Business Data Analyst

Infinite Computer Solutions

Jun 2022 - May 2024 (1 year 11 months)

Designed and maintained ETL pipelines using Alteryx, Azure Data Factory, Talend, and Azure Synapse, delivering Tableau and Looker Studio dashboards to business stakeholders. Performed A/B testing, anomaly detection, and trend analysis, and built forecasting and predictive models in R while supporting requirements and UAT across Agile and Waterfall lifecycles.

Alteryx Azure Data Factory Talend Azure Synapse ETL Tableau Looker A B Testing Anomaly Detection Trend Analysis Forecasting predictive modeling R User Stories UAT Agile Scrum Waterfall Stakeholder Management

Reporting Analyst

Allsec Technologies

Feb 2018 - Jan 2020 (1 year 11 months)

Engineered automated ETL workflows using SSIS, SQL Server, and BigQuery for cross-platform data migration and high-performance reporting. Developed Qlik Sense and Excel dashboards using optimized SQL and analytics techniques (SPC, clustering) to identify operational anomalies for leadership.

SSIS SQL Server BigQuery ETL Data Migration Qlik Sense Excel Dashboard SQL Optimization SPC Clustering advanced analytics Root Cause Analysis

Data Analyst Intern

3i Infotech

Feb 2017 - Jan 2018 (11 months)

Built automated Excel dashboards using Power Query and Pivot Tables for daily finance and operations reporting, supporting Oracle and MS SQL Server data integration. Performed descriptive analysis and anomaly detection in Python to improve data accuracy and reduce manual reporting effort.

Excel Power Query Pivot Tables Oracle MS SQL Server Data Integration Python Anomaly Detection