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Varaga Haghoubians

@varagahaghoubians

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

Italy

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What I'm looking for

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.

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

Work history, roles, and key accomplishments

Curricular Internship, Data Analysis

Eurix

Apr 2025 - Apr 2026 (1 year)

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%.

Python Data Cleaning Data Validation Exploratory Data Analysis IoT Reporting Dashboarding

Industrial Data Monitoring Intern

Arvest

Aug 2020 - Aug 2021 (1 year)

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.

Excel Pivot Tables Data Analysis Data Quality Root Cause Analysis Inventory Management

Education

Degrees, certifications, and relevant coursework

University of Turin

Master of Science, Stochastic and Data Science

2022 -

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.