Utsav Rabadiya
Working Student Junior Data Scientist (Performance Team GT Fleet)
Experience
Nov 2024 - Present
9 monthsDüsseldorf, 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 2 monthsGraph 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 monthsPredictive 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 monthsGas 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 monthsSales 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 monthsMusic 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 monthsIndia
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 monthsIndia
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 monthsIndia
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.
Languages
English
AdvancedGerman
IntermediateEducation
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
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