Aspiring Data Analyst - Python, SQL, Tableau Expert

Gayathri Balu

Junior Data Analyst,Aurora,IL

331-***-**** # ***********@*****.*** ï linkedin.com/in/gayathri-balu/ § github.com/Gaya3Balu Education

Anna University,Chennai Sep. 2008– May 2012

Bachelor of Engineering in Computer Science India

Relevant Coursework

• Data Analysis &

Visualization

• Python Programming for

Data Science

• Statistics & Probability

• SQL & Database

Management

• Exploratory Data

Analysis (EDA)

• Data Cleaning & ETL

Pipelines

• Healthcare Data

Analytics

Experience

NumPy Ninja – Healthcare Analytics Jan 2025

Junior Data Analyst (Volunteer) Dover, DE

• Developed automated ETL workflows to extract, clean, and transform healthcare datasets from APIs and flat files, improving data readiness for analysis.

• Incorporated Python (Pandas, NumPy) and SQL scripts to validate data quality, aggregate records, and load curated datasets into PostgreSQL.

• Utilized Tableau and Power BI to build interactive dashboards that visualize KPIs, trends, and clinical metrics for stakeholder review.

• Automated recurring data preparation and reporting tasks, reducing manual effort and turnaround time.

• Collaborated in Agile/Scrum teams to deliver data-driven insights during datathons and sprint reviews. Projects

Sepsis Data Analysis Project Python, Pandas, Tableau, NumPy May 2025 – July 2025

* Analyzed 1.5M+ records across 40,336 patient cases to track sepsis progression using biomarker and organ-level features.

* Performed data cleaning, validation, and correlation analysis with Python (Pandas) to ensure accurate clinical insights.

* Focused on SOFA biomarkers and lung function metrics to identify early indicators of sepsis onset.

* Conducted comparative analysis between MICU and SICU cases to identify patterns and risk differences.

* Designed interactive Tableau dashboards to visualize trends in biomarkers, organ impact, and clinical indicators

(Septic Shock, MOD, ABG, APACHE, SIRS).

* Collaborated in six Agile sprints to integrate data exploration, organ analysis, and dashboard development into actionable clinical insights.

Early Detection of Prediabetes Using CGM & Wearables Python, SQL, Pandas, Multisensor Analysis Nov 2025

* Integrated Dexcom CGM and wearable wristband data (HR, IBI, EDA) over six months for early prediabetes detection.

* Performed data cleaning, normalization, and outlier handling to prepare datasets for analysis.

* Calculated glucose spike deltas and trends using Python and SQL to identify potential risk indicators.

* Visualized glucose variability and lifestyle correlations in dashboards to support actionable insights for health monitoring.

Maternal Health & Abdominal Fat Assessment Study Python, Power BI, ICD, SNOMED, RxNorm Sep 2025

* Managed and cleaned a 116-variable clinical dataset, including demographics, ultrasound measurements, nutrition, labs, and newborn outcomes.

* Applied ICD and SNOMED codes to categorize maternal metabolic conditions and obstetric diagnoses.

* Analyzed LOINC-coded lab results (glucose, hemoglobin A1c) to assess maternal and neonatal risk factors.

* Evaluated RxNorm-coded medications for maternal substance use and metabolic management.

* Developed interactive Power BI dashboards to visualize trends and support targeted prenatal care interventions. Technical Skills

Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL(MySQL,PostgreSQL) Data Analytics & BI Tools: Tableau, Power BI, Excel, Streamlit Databases & ETL: PostgreSQL, SSMS, ETL

Healthcare Data Standards: FHIR, OMOP, ICD-10, SNOMED CT, LOINC, RxNorm, HIPAA-compliant data handling Methodologies & Processes: Agile/Scrum, JIRA, Predictive Analytics, Statistical Modeling, Healthcare Operations Analysis Developer Tools & Platforms: GitHub, Git Bash

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