# GAYATRI DEVI KAJULURI

GAYATRI DEVI KAJULURI is a remote worker on Himalayas, Data Analyst at Independent Project, based in India.

Source: https://himalayas.app/@gayatridevikajuluri1

```text
SQL-first data analyst driving production-grade analytics, KPI engineering, and decision-ready dashboards.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Data Analyst, Data Analyst, Business Intelligence Analyst, Analytics Engineer, Data Engineer, Product Analyst, Data Analytics Specialist |
| Skills | Advanced SQL, Window Functions, Query Optimization, BigQuery, Python, Pandas, NumPy, scikit learn, Data Cleaning, Power BI, DAX, Power Query, Excel, VBA, Star Schemas, ETL ELT Data Pipelines, Data Validation, Anomaly Detection, Cohort Analysis, A B Testing, Git, Version Control, Burn, GitHub, SQL |

## What I'm looking for

```text
I seek roles where I can build production-grade analytics, automate ETL, and deliver executive dashboards that drive revenue protection and operational efficiency in collaborative teams.
```

## About

```text
I am a SQL-first data analyst with hands-on experience building production-grade analytics, KPI engineering, and decision-support systems across Healthcare, Retail, and FinTech domains. I prioritize data integrity, reproducibility, and stakeholder-aligned outcomes.

I design star/snowflake schemas and automated ETL/ELT pipelines, optimizing large-scale queries and indexing to improve performance and reduce reporting time. My projects simulate production conditions on multi-million record datasets and emphasize modular, version-controlled transformation logic.

My work has identified multi-million-dollar revenue and budget variances, reduced manual validation effort by 80%, and cut reporting cycles by 70%. I build executive Power BI dashboards (DAX, RLS, Power Query) and implement data validation and anomaly-detection frameworks to support operational and strategic decisions.

I bring strong stakeholder management, data storytelling, and cross-domain analytical adaptability to teams seeking reliable, actionable analytics. I am driven to turn complex data into clear, auditable insights that protect revenue and guide prioritization.
```

## Experience

### Data Analyst (current)

Independent Project. Jan 2026 - Present

```text
Built production-style analytics for Healthcare, designing star-schema models and modular SQL staging pipelines for 5M+ clinical records; implemented anomaly detection and query optimizations that reduced validation effort by 80% and improved query execution time by 40%.
```

Skills: Window-Functions, BigQuery, Data-Modeling, Power-BI, Data-Validation, Git, Query-Optimization

### Data Analyst

Omnichannel Retail Project. Nov 2025 - Dec 2025

```text
Analyzed a $150M+ transactional dataset to surface $22M revenue leakage and a $20.1M logistics gap; designed automated ETL workflows that cut reporting cycle time by 70% and delivered executive Power BI dashboards for revenue risk monitoring.
```

Skills: SQL, Power-BI, ETL, Data-Analysis, Revenue-Risk, Dashboarding, Excel, Stakeholder-Management

### Data Analyst

FinTech Analytics Project. Sep 2025 - Nov 2025

```text
Performed SQL-driven variance decomposition on budgets, exposing $48.3M planned vs actual variance and building burn-rate dashboards that flagged 25% of initiatives as high-risk; automated recurring financial reports via Power BI and SQL.
```

Skills: SQL, Power-BI, Financial-Analytics, Dashboarding, Automation, Data-Validation

## Education

### Holy Mary Institute of Technology and Science

Bachelor of Technology, Computer Science and Engineering (AI & ML). 2021 - 2025. Grade: CGPA 8.10

```text
Completed a Bachelor of Technology in Computer Science and Engineering with specialization in AI & ML, focusing on machine learning, data engineering, and software development; achieved CGPA 8.10.
```

## Tech stack

- GitHub
- NumPy
- Pandas
- Gmail
- scikit-learn
- SQL
- Burn
- Jan

To contact GAYATRI DEVI, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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