Open to opportunities

Aarushi Kotwani

@aarushikotwani

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I’m a Data Analyst focused on ETL, BI dashboards, and AI-powered decision support.

United States

Message

What I'm looking for

I’m seeking to leverage analytical expertise to drive data-informed decisions and operational efficiency—building reliable pipelines and dashboards that speed reporting, improve data quality, and deliver measurable cost and time wins with strong stakeholder collaboration.

I’m a Data Analyst with solid experience in data analysis, ETL, and business intelligence. I focus on building reliable pipelines and turning results into clear, stakeholder-ready insights that drive operational efficiency.

In my roles, I’ve delivered measurable time and cost improvements—building a Python image analysis pipeline that cut manual analysis time by ~60%, and architecting an AWS-based pipeline that reduced sustainability data preparation time by 30%. I also developed Tableau and Power BI dashboards that accelerated reporting cycles and uncovered $80K cost-saving opportunities.

I’m especially strong in data quality and end-to-end validation: at Qualitest, I maintained 98% data accuracy using SQL integrity checks and anomaly resolution, and automated ETL upload validation to reduce manual review time by 40%. I translate findings into documentation and reports that support teams across multiple workstreams.

Beyond analytics, I build predictive models and GenAI tools—developing regression and time-series forecasting with scikit-learn/Prophet on AWS SageMaker, and creating a RAG-based Streamlit data assistant with grounding and hallucination checks via ChromaDB and embeddings. I’m comfortable partnering with both technical and non-technical stakeholders to ship solutions that stand up to real-world use.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant (Data Analyst)

Current

Seattle University

Aug 2025 - Present (11 months)

Designed a Python pipeline to analyze biological sample images, extracting feature sets and cutting manual analysis time by ~60%. Conducted root-cause analysis, clustering/dimensionality reduction across sample categories, and translated findings into research reports for academic stakeholders.

Python Image Analysis Feature Extraction Data Analysis Root Cause Analysis Clustering Dimension Reduction Data Validation Image Processing Tableau

Data Analyst

Qualitest

Apr 2026 - May 2026 (1 month)

Delivered high-fidelity ground-truth datasets for Meta AI model development, maintaining 98% accuracy via SQL-based integrity checks and anomaly resolution workflows. Automated ETL upload validation with Python, reducing manual review time by 40%, and produced audit-ready validation documentation.

Data Analysis SQL Python Data Quality Documentation Data Integrity ETL Data Validation

Data Analyst

Amazon

Jan 2025 - Jun 2025 (5 months)

Architected an end-to-end AWS and Python pipeline for ingesting, validating, and quality-controlling sustainability datasets, reducing preparation time by 30%. Built regression and time-series forecasting models with scikit-learn and Prophet on AWS SageMaker and created SQL-backed Tableau dashboards for 12+ sustainability KPIs.

Python AWS Sagemaker regression Time Series Modeling scikit learn Prophet SQL Tableau KPI Reporting Data Quality Control Data Validation

Data Analyst Intern

Seattle University

Jun 2024 - Jun 2025 (1 year)

Analyzed 5+ years of financial spend data using SQL, Python, and ETL workflows, uncovering $80K+ in cost-saving opportunities through trend and vendor spend analysis. Built regression/forecasting models and automated Tableau dashboards with quality-control checks to reduce manual reporting workload by 15%.