# Varaga Haghoubians

Varaga Haghoubians is a remote worker on Himalayas, Curricular Internship, Data Analysis at Eurix, based in Italy.

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

```text
I build reliable data-quality pipelines, analyses, dashboards, and reports from complex industrial data.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Italy |
| Authorized to work in | Italy |
| Salary expectations | 35k+ EUR |
| Job categories | Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer |
| Skills | Data Analysis, Data Cleaning, Data Validation, Data Quality, Exploratory Data Analysis, Feature Engineering, Statistical Modeling, Stochastic Processes, Time Series Analysis, Numerical Methods, Python, Pandas, NumPy, scikit learn, SQL, MySQL, PostgreSQL, Git, GitHub, Excel, Pivot Tables, VBA, Power BI, Dashboard Development, KPI Reporting, Machine Learning, Logistic Regression, Decision Trees, Network Analysis, Matlab, C++, Data Visualization, Bilingual Reporting |
| LinkedIn | https://linkedin.com/in/varagahaghoubian |
| GitHub | https://github.com/VaragaHaghoubian |

## What I'm looking for

```text
I'm looking for a data-focused role where I can clean and analyse complex data, build useful dashboards and reports, and translate results into decisions for technical and non-technical stakeholders.
```

## About

```text
At Eurix, I owned an end-to-end data-quality pipeline for raw multi-sensor industrial IoT data, resolving missing values, outliers, and inconsistencies before downstream analysis. I built a 13-module, config-driven Python codebase that cut manual setup time per analysis by approximately 60%.

Previously at Arvest, I turned production data into automated Excel dashboards, reducing reporting preparation time by 50%, and migrated paper inventory records into a structured digital system. I'm completing an MSc in Stochastics and Data Science and enjoy translating analysis into bilingual reports and dashboards that engineers and managers can use.
```

## Experience

### Curricular Internship, Data Analysis

Eurix. Apr 2025 - Apr 2026

```text
Owned a data-quality pipeline end to end on raw multi-sensor industrial IoT data, cleaning, exploring, and validating data. Built a 13-module config-driven Python codebase for repeatable analysis, cutting manual setup time by approximately 60%.
```

Skills: Python, Data-Cleaning, Data-Validation, Exploratory-Data-Analysis, IoT, Reporting, Dashboarding

### Industrial Data Monitoring Intern

Arvest. Aug 2020 - Aug 2021

```text
Analyzed production data end to end, from raw records to automated Excel dashboards, tracking output, defects, material usage, and uptime. Investigated data discrepancies and quality issues independently, tracing them to root cause before flagging to supervisors.
```

Skills: Excel, Pivot-Tables, Data-Analysis, Data-Quality, Root-Cause-Analysis, Inventory-Management

## Education

### University of Turin

Master of Science, Stochastic and Data Science. 2022 - Present

```text
Pursuing an MSc in Stochastic and Data Science with expected graduation in April 2027. Coursework covers applied machine learning, statistical modeling, stochastic processes, time-series analysis, and numerical methods.
```

### Azad University

Master of Science, Engineering Management. 2019 - 2021

```text
Completed an MSc in Engineering Management, equivalent to Ingegneria Gestionale.
```

### Azad University

Bachelor of Science, Industrial Engineering. 2015 - 2019

```text
Completed a BSc in Industrial Engineering with coursework in operational research, statistical analysis, production planning, and inventory control.
```

## Tech stack

- GitHub
- NumPy
- Pandas
- MySQL
- PostgreSQL
- Python
- C++
- MATLAB
- scikit-learn
- Git
- SQL
- Power BI

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

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