Saurav Bhowmick
MSc Renewable Energy & Data Engineering | Machine Learning Engineer | Research Specialist | Data Scientist | Data Analyst
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Proven Excellence in Data Engineering & ML
6+ years driving innovation across software development, automation, and data engineering. Proven track record in global tech environments with 95% project success rate.
Expertise spans renewable energy research, automotive industry solutions, and cloud architecture. Delivered measurable results through advanced machine learning and industrial IoT integration.
6+
Years Experience
95%
Project Success
40%
Efficiency Gains
Career Highlights & Impact
Research Innovation
Led groundbreaking anomaly detection research at Hochschule Offenburg. Developed advanced ML algorithms improving predictive maintenance capabilities.
Industrial Automation
Engineered robust PLC-MQTT communication frameworks. Enhanced data collection efficiency by 40% across industrial systems.
Process Optimization
Streamlined application deployment at Volkswagen by 30%. Created automation scripts reducing operational costs by 25% with 100+ daily uses.
40%
Data collection efficiency improvement
35%
System reliability increase in renewable energy
25%
Operational cost reduction
Core Areas of Expertise
Data Engineering & ML
Advanced machine learning algorithms, predictive analytics, and data pipeline architecture. TensorFlow, PyTorch, Statsmodels, Scikit-Learn expertise.
Software Development
Full-stack development with Python, PowerShell, SQL. Automation frameworks and enterprise application management.
Cloud Solutions
Microsoft Azure and Google Cloud Platform architecture. Scalable cloud-based data solutions and deployment strategies.
Renewable Energy
Power quality analysis, anomaly detection in energy systems. AI-driven monitoring for renewable energy infrastructure.
Industrial IoT
MQTT, Modbus, OPC-UA protocols, Seamless PLC integration and real-time data acquisition systems.
Process Optimization
Agile methodologies, workflow automation. Cross-functional team leadership and data-driven decision making.
Technical Proficiency
Programming & Frameworks
  • Python, PowerShell, SQL, Structured Text
  • TensorFlow, PyTorch, Keras, Scikit-Learn
  • Pandas, Numpy, Matplotlib, Seaborn
  • RESTful APIs, Git version control
Protocols & Integration
  • MQTT, Modbus, OPC-UA communication
  • Industrial automation frameworks
  • Real-time data acquisition systems
Cloud & Platforms
  • Microsoft Azure, Google Cloud Platform
  • Microsoft Intune enterprise management
  • MySQL, InfluxDB database systems
Methodologies
  • Agile and Scrum frameworks
  • DevOps, MLOps practices and CI/CD
  • Data-driven project management
Professional Experience Journey
1
Hochschule Offenburg
Guest Researcher | Aug 2025 - Oct 2025
Presented research at IEEE AUPEC 2025 Conference in Brisbane. Published paper on robust transient and anomaly detection in voltage waveforms.
2
INES - Institute of Sustainable Energy
Master Thesis & Research Assistant | Jan 2024 - Feb 2025
Analyzed power quality anomalies using ML. Implemented PLC-MQTT communication and database integration with Node-RED automation.
3
Grydion
Data Scientist & Analyst | May 2025 - Aug 2025
Conducted comprehensive analysis of power electronics devices. Applied data science methodologies to improve system performance.
4
ySpace
Software Engineering Manager & Team Lead | Mar 2025 - Aug 2025
Led drone simulation projects using Webots. Implemented QR code encoding/decoding and Dijkstra algorithm for path optimization.
5
Volkswagen IT Services India
Software Engineer | Sep 2018 - Sep 2023
Delivered enterprise application packages using Microsoft Intune. Created PowerShell automation tools reducing deployment time by 30%.
Key Projects & Achievements
Power Quality Anomaly Detection
Master thesis project analyzing power electronic systems. Developed curve-fitted sinusoidal models for transient detection.
  • Cross-correlation analysis and forecasting
  • Advanced ML algorithms for prediction
  • Published in IEEE conference proceedings
Industrial IoT Integration
Implemented seamless PLC-MQTT-MySQL data pipeline. Automated JSON creation for Node-RED workflows.
  • Modbus and OPC-UA protocol integration
  • 40% improvement in data collection
  • Real-time monitoring capabilities
Enterprise Automation Suite
Created PowerShell automation tools for Volkswagen. Streamlined application packaging and deployment processes.
  • 100+ daily automation instances
  • 25% reduction in operational costs
  • Azure cloud integration
Data Science Projects
In this project we did Exploratory Data Analysis, Predicted the dates for production of renewable raw materials through regression models, Performed model evaluation using kfold cross-validation, Determined the most suitable regression model.
In this project we did Exploratory data analysis, Carried out a seasonal decomposition of data on daily, weekly and monthly basis, Determined the best ARIMA model and used it to predict the synthetic data for future 2024 data.
In this project we did Exploratory data analysis, Categorical prediction by KNN, Logistic Regression, Decision Tree, Random Forest, Gradient boosting and Ada boosting, Determined the most suitable model for 2023 data and used the model for data 2024.
Created an app to predict House prices in the entire world for the coming future dates.
Education & Continuous Learning
Master's Degree
Hochschule Offenburg
Renewable Energy & Data Engineering (2023-2025)
Professional Certification
Udacity Nanodegree
Machine Learning by AWS (2021)
Bachelor's Degree
Army Institute of Technology, Pune
Mechanical Engineering (2014-2018)

Certifications
  • Python Programming
  • Machine Learning
  • ITIL Foundation Level
Languages & Global Perspective
100%
Bengali
Native fluency
100%
Hindi
Native fluency
90%
English
Full professional
70%
German
Professional working
30%
Spanish
Elementary
Awards & Recognition
  • Best Debutant Award
  • Best Innovation Award
  • Best General Body Member
  • Outstanding Volunteer Performer
Connect & Collaborate
Let's Build Something Great Together
Open to opportunities in data engineering, machine learning, and renewable energy systems. Based in Offenburg, Germany with global experience.
Passionate about leveraging technology for sustainable solutions. Let's discuss how my expertise can drive your next innovation.
Contact Information

Beyond Work
Active Rotaract Club volunteer supporting community initiatives. Enjoy chess, football, reading technology books, novels and jogging.
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