Utsav Rabadiya - Working Student Junior Data Scientist (Performance Team GT Fleet)

Q: Where is Utsav based?

Utsav is based in Siegen, Germany .

Q: What languages does Utsav speak?

Utsav speaks the following languages: English (Advanced), German (Intermediate) .

Q: How many years of experience does Utsav have?

Utsav has at least 4 years of experience. During this time, Utsav has worked in at least 9 different roles and for 3 different companies . The average length of individual experience is 5 months . Note that Utsav may not have shared all experience and actually has more experience.

Q: What is Utsav's latest experience?

Utsav's most recent position is Working Student Junior Data Scientist (Performance Team GT Fleet) at Uniper SE .

Q: What companies has Utsav worked for in recent years?

In recent years, Utsav has worked for Uniper SE and Pahal Solar PVT. LTD. .

Q: Which industries is Utsav most experienced in?

Utsav is most experienced in industries like Energy , Automotive , and Manufacturing . Utsav also has some experience in Retail , Media and Entertainment and Publishing .

Q: Which business areas is Utsav most experienced in?

Utsav is most experienced in business areas like Business Intelligence , Operations , and Information Technology (IT) . Utsav also has some experience in Research and Development (R&D) , Project Management , and Marketing .

Q: What is Utsav's education?

Utsav holds a Master in Mechatronics Engineering from University of Siegen and a Bachelor in Mechanical Engineering from GTU .

Q: Does Utsav have any certificates?

Utsav has 2 certificates . These include: Supervised Machine Learning and Python .

Recommended expert

Siegen, Germany

Experience

Nov 2024 - Present

1 year 3 months

Germany

Working Student Junior Data Scientist (Performance Team GT Fleet)

Uniper SE

Analyzed large-scale power plant data to develop and optimize key performance indicators (KPIs) for fleet-wide performance monitoring.
Designed and developed interactive Power BI dashboards to provide real-time insights into key business metrics, improving decision-making processes across departments.
Collaborated with site engineers and asset management to harmonize performance metrics across multiple countries.
Supported digital transformation initiatives by implementing data-driven use cases using agile project management methods.
Utilized OSIsoft PI systems for time-series data analysis and visualization to improve operational insights.

Jun 2024 - Present

1 year 8 months

Graph Neural Network for Link Prediction and Fault Diagnosis

Developed and optimized complex models using PyTorch, enhancing performance and predictive accuracy for fault diagnosis.
Leveraged automotive industry-based knowledge graphs (RDF) to transform data, applying advanced machine learning (ML) and deep learning (DL) techniques.
Integrated real-time sensor data to generate dynamic node embeddings, improving fault prediction and component behavior analysis.
Implemented fault classification techniques to predict and detect vehicle component failures, enhancing predictive maintenance capabilities.

Sep 2023 - Feb 2024

6 months

Predictive Maintenance using Machine Learning

Developed a predictive maintenance model using machine learning to estimate the probability of machine failures within the next 24 hours.
Utilized real-time telemetry data, error logs, maintenance records, and machine information for feature engineering.
Created lag features from telemetry and error logs, and calculated days since last component replacement.
Implemented time-dependent record splitting and addressed class imbalance with oversampling, achieving robust model performance with metrics beyond accuracy, such as recall and precision.
Utilized Python, scikit-learn, and Azure Machine Learning Studio.

Jun 2023 - Sep 2023

4 months

Gas data analysis of Netherlands using ML

Conducted exploratory data analysis (EDA) on gas consumption datasets using Python, focusing on data cleaning, manipulation, and imbalance handling.
Applied various machine learning models, including logistic regression, random forest, XGBoost, and neural networks, with hyperparameter tuning for optimal performance.
Evaluated models using precision, recall, F1-score, and ROC-AUC metrics to ensure robust predictive accuracy.

Mar 2023 - May 2023

3 months

Sales Analysis for shopping website using web analysis

Performed exploratory data analysis (EDA) to uncover sales trends and user behavior patterns on an e-commerce platform.
Utilized statistical analysis methods such as correlation and regression analysis to derive actionable insights.
Created visualizations (scatter plots, line charts, heatmaps) to present findings and support decision-making processes for sales optimization.

Feb 2023 - Mar 2023

2 months

Music Store Analysis (SQL)

Conducted an independent SQL analysis on an online music store dataset, designing a relational database schema, executing complex queries to analyze sales trends, popular genres, and customer demographics, and optimizing query performance for efficient data retrieval.
Derived key business insights, such as the most popular music genres, artists, and countries for purchases, providing data-driven recommendations to improve marketing strategies and business growth.

May 2021 - Nov 2021

7 months

India

Business Technology Analyst

Pahal Solar PVT. LTD.

Designed and implemented a robust machine learning framework for business process automation and predictive analytics.
Conducted comprehensive data analysis to identify key patterns and trends, aiding strategic decision-making processes.
Developed dynamic and user-friendly dashboards using Power BI, integrated with SQL databases for real-time data visualization and actionable insights.

Aug 2020 - May 2021

10 months

India

Intern Data Analyst

Pahal Solar PVT. LTD.

Analyzed complex datasets and transformed them into actionable insights by building predictive models and forecasting future trends.
Successfully optimized inventory management by 16% through the development and deployment of machine learning algorithms, improving operational efficiency.
Collaborated with cross-functional teams to translate business requirements into data-driven solutions, enhancing operational outcomes and strategic planning.

Jun 2020 - Jul 2020

2 months

India

Intern Industrial Trainee

Tata Motors

Conducted in-depth inventory planning and optimization, streamlining operations and reducing inefficiencies.
Designed and implemented effective data visualization techniques to extract actionable insights, enhancing decision-making processes.
Spearheaded improvements in data flow management, ensuring smoother integration and processing across systems.
Collaborated with cross-functional teams to align business objectives with data-driven solutions, fostering operational excellence.

Summary

Innovative and solution-oriented Data Analyst with expertise in turning complex data into actionable insights that drive business decisions. Experienced in writing code, developing algorithms, and implementing advanced data analysis techniques. Proficient in Machine Learning (ML) and Deep Learning (DL) to build predictive models and automate decision-making. Skilled in identifying, understanding, and translating program requirements into advanced applications using Python, SQL, and cloud-based solutions. Passionate about leveraging data science to optimize business processes and drive digital transformation.

Skills

Programming Languages: Python, C/c++, Sql
Data Analysis & Visualization: Numpy, Pandas, Matplotlib, Seaborn, Tableau, Power Bi, Advanced Excel, Power Apps
Machine Learning & Deep Learning: Scikit-learn, Tensorflow, Pytorch
Database Management: Mysql, Azure Devops, Snowflakes
Tools & Platforms: Github, Microsoft Azure, Databricks
Data Science & Mining: Data Mining, Predictive Analysis, Regression Analysis

Languages

English

Advanced

German

Intermediate

Education

Oct 2022 - Present

University of Siegen

Master of Mechatronics Engineering · Mechatronics Engineering · Siegen, Germany · 2.3

Jun 2017 - May 2021

GTU

Bachelor of Mechanical Engineering · Mechanical Engineering · Surat, India · 1.45

Certifications & licenses

Supervised Machine Learning

Coursera

Python

Coursera

Profile

Created

June 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Utsav based?

Utsav is based in Siegen, Germany.

What languages does Utsav speak?

Utsav speaks the following languages: English (Advanced), German (Intermediate).

How many years of experience does Utsav have?

Utsav has at least 4 years of experience. During this time, Utsav has worked in at least 9 different roles and for 3 different companies. The average length of individual experience is 5 months. Note that Utsav may not have shared all experience and actually has more experience.

What roles would Utsav be best suited for?

Based on recent experience, Utsav would be well-suited for roles such as: Working Student Junior Data Scientist (Performance Team GT Fleet), Graph Neural Network for Link Prediction and Fault Diagnosis, Predictive Maintenance using Machine Learning.

What is Utsav's latest experience?

Utsav's most recent position is Working Student Junior Data Scientist (Performance Team GT Fleet) at Uniper SE.

What companies has Utsav worked for in recent years?

In recent years, Utsav has worked for Uniper SE and Pahal Solar PVT. LTD..

Which industries is Utsav most experienced in?

Utsav is most experienced in industries like Energy, Automotive, and Manufacturing. Utsav also has some experience in Retail, Media and Entertainment and Publishing.

Which business areas is Utsav most experienced in?

Utsav is most experienced in business areas like Business Intelligence, Operations, and Information Technology (IT). Utsav also has some experience in Research and Development (R&D), Project Management, and Marketing.

What is Utsav's education?

Utsav holds a Master in Mechatronics Engineering from University of Siegen and a Bachelor in Mechanical Engineering from GTU.

Does Utsav have any certificates?

Utsav has 2 certificates. These include: Supervised Machine Learning and Python.

What is the availability of Utsav?

Utsav is immediately available for suitable projects.

What is the rate of Utsav?

Utsav's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.