Parth Thummar - Data Analyst (HR Analyst)

Recommended expert

Koblenz, Germany

Experience

Oct 2024 - Present

1 year 4 months

Bonn, Germany

Data Analyst (Work Student)

T-Systems International

Developed end-to-end ETL pipelines and automated workflows for recruitment and attrition reporting using Python, SQL, and Power Automate.
Built dynamic Power BI dashboards with DAX and Power Query to visualize hiring metrics and workforce trends.
Automated the hiring approval process with conditional logic, field validation, and “Save as Draft” functionality in Power Automate.
Collaborated with project owner to define KPIs and transform raw HR data into actionable business insights.
Streamlined monthly report generation and integrated data from SharePoint, enhancing decision-making efficiency.

Mar 2023 - Sep 2023

7 months

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Comprehensive Study of Hyper-Parameter Tuning of ML Models

Explored alternative split methodologies for decision trees.
Compared Random Search, Grid Search, and genetic algorithm optimization methods using various datasets.
Improved decision tree and random forest classifiers.

Oct 2022 - Jan 2023

4 months

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Hospital Patients Dashboard

Designed Power BI dashboard to track status of patient waiting list and analyzed historical monthly trends of waiting list for inpatient and outpatient categories.
Performed detailed specialty-level age profile analysis.
Utilized average and median as metrics.

Jul 2022 - Aug 2022

2 months

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Electricity Data Analysis of Netherlands

Analyzed the data using Python.
Conducted data preprocessing, data visualization, and predictive analysis.
Integrated random forest regression and created a regression model.

Jan 2021 - Aug 2022

1 year 8 months

Surat, India

Data Analyst Intern - Data Analyst

Global Unity Outsource

Analyzed large datasets to identify patterns, trends, and insights, and created comprehensive dashboards and reports using SQL, Excel, and Power BI to track key performance indicators (KPIs) and metrics for e-commerce resellers.
Helped clients with inventory management by leveraging festival trends.
Implemented pre-processing pipelines to ensure data quality and data integrity.

Languages

Gujarati

Native

Hindi

Native

English

Advanced

German

Intermediate

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