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Saurav Bhowmick

Data Scientist | Machine Learning Engineer | Research Assistant

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About Me

Hello! I'm Saurav Bhowmick, a passionate Data Scientist and Machine Learning Engineer with 5+ years of experience in software development, automation, and data engineering across global tech environments. I recently completed my MSc in Renewable Energy and Data Engineering at Hochschule Offenburg, where I specialized in integrating data-driven solutions with sustainable energy technologies.

With a 95% project success rate, my experience spans renewable energy research, automotive industry applications, and cloud solutions. I've worked at Volkswagen Group Technology Solutions India, served as a Research Assistant at the Institute for Sustainable Energy Systems, and contributed to innovative projects at ySpace and Grydion. My expertise includes machine learning, data visualization, IoT integration, power electronics, and industrial automation using Python, TensorFlow, PyTorch, and advanced analytics tools.

Beyond my professional work, I'm actively involved in community service through Rotaract Club, enjoy playing chess and football, read about technology and innovation, and maintain an active lifestyle through jogging. My goal is to contribute to the advancement of renewable energy solutions and data-driven innovation through AI, machine learning, and automation.

Experience

Offenburg University of Applied Sciences

Guest Researcher

Continued advanced research in renewable energy systems and data engineering, contributing to ongoing projects at the Institute for Sustainable Energy Systems. This role extended my work in power quality analysis, machine learning applications in energy systems, and industrial IoT integration. I also presented my Research work in IEEE AUPEC 2025 Conference happened in Brisbane, Queensland, Australia. My Paper Topic is "Robust Transient and Anomaly Detection in Voltage Waveforms Using Curve-Fitted Sinusoidal Models".

Grydion

Data Scientist | Data Analyst

Analyzed power electronics devices, applying advanced data science techniques to optimize device performance and reliability. Conducted comprehensive data analysis to identify patterns, anomalies, and performance metrics in power electronic systems. Utilized Python, machine learning libraries, and statistical methods to derive actionable insights for improving device efficiency and operational parameters.

ySpace

Software Engineering Manager | Team Lead | Volunteer AI/ML Engineer

Progressed through multiple roles demonstrating leadership and technical excellence. As Software Engineering Manager (August 2025), I guided team members in gathering vital information for web development projects and coordinated cross-functional initiatives.

As Team Lead (July 2025), I led software interns in drone simulation projects using Webots, a sophisticated robotics simulation platform. I mentored the team in implementing Python-based QR code encoding and decoding solutions, and successfully implemented Dijkstra's Algorithm for finding shortest distances in map navigation systems.

As Volunteer AI/ML and Software Engineer (March-July 2025), I learned and implemented advanced software engineering principles, focusing on AI/ML applications and robotic simulations. I gained hands-on experience with Webots for drone virtual simulation, bridging theoretical knowledge with practical implementation in autonomous systems.

Institute for Sustainable Energy Systems (INES)

Master Thesis Student & Research Assistant

Master Thesis Student (September 2024 - February 2025): I served as a Master's Thesis Student on the Integrale Forschung Energie für Elektromobilität: Vom Modell zur Anwendung (iFEMA) project. My research focused on "Analysis and Prediction of Power Quality Anomalies in Power Electronic Dominated Industrial Systems." I employed cross-correlation analysis, curve fitting techniques (sine wave applications), and GridVis software for effective anomaly detection. I successfully identified the most causally significant features contributing to power quality anomalies, which formed the foundation for developing machine learning models capable of forecasting grid quality issues. To address the inherent challenge of imbalanced data in anomaly detection, I implemented specialized imbalanced learning techniques, complementing these with neural network architectures designed for voltage predictions. The technical stack for this work encompassed Python, Node-RED, InfluxDB, TensorFlow, Scikit-Learn, Pandas, Matplotlib, and Seaborn.

Research Assistant (January - August 2024): I developed Python scripts that established reliable communication pathways between Beckhoff PLCs and MQTT servers, creating a robust foundation for industrial IoT applications. I successfully implemented code to publish messages from PLCs to MQTT servers and capture messages from MQTT servers to send to PLCs. I automated critical data logging processes from both PLC systems and MQTT topics into MySQL databases, significantly enhancing data collection efficiency by 40%. My contributions to IoT-based data engineering solutions enabled real-time energy monitoring capabilities. I also successfully transferred variables from MQTT to PLC and back via Node-RED, automated JSON creation for Node-RED, and connected PLCs with Modbus and OPC-UA protocols through Node-RED, leveraging technologies including Python, MQTT, MySQL, Beckhoff TwinCAT (Structured Text), and Node-RED to create an integrated monitoring ecosystem.

Volkswagen Group Technology Solutions India Pvt. Ltd.

Software Engineer

Software Engineer (January 2019 - September 2023): I served in the Digital Workplace department, working on the Group Package Factory (GPF) project. I specialized in application packaging using InstallShield and automated project-related tasks through PowerShell scripting, creating automation tools that reduced operational costs by 25% with daily usage exceeding 100+ instances across multiple departments. My responsibilities included working on Azure Intune as a Proof of Concept to streamline application deployment via cloud infrastructure by 30%. I was responsible for providing clients with desired packages according to configurations while maintaining Volkswagen group policies and standards. I automated installation and uninstallation of different applications through PowerShell, thoroughly troubleshooted applications before delivery, and collaborated closely with Quality Analysts as a verification partner to ensure deliverables aligned precisely with customer requirements.

Software Engineer Trainee (September - December 2018): During this formative period, I focused on Robotic Process Automation using Automation Anywhere and successfully automated various project tasks. I gained valuable experience in application packaging through MSI technology. My contributions during this period were recognized with both the Best Debutant Award for exceptional performance in a short timeframe and the Best Innovation Award for creative thinking that reduced manual effort by 20%, demonstrating my commitment to efficiency and innovation within the Volkswagen ecosystem.

Dassault Systèmes

Intern

Received comprehensive training on the 3dExperience Platform, a cloud-based PLM software. Gained hands-on experience with CATIA including part design, assembly, simulation, and mechanical system behavior analysis. This internship provided foundational knowledge in computer-aided design and product lifecycle management systems.

512 Army Base Workshop

Intern

Gained hands-on experience with Bogie wheel (Tank wheel) testing machines. Designed a robotic arm using AutoCAD and CATIA. Worked in a team of 3 to execute daily activities for testing temperature and failure rates in Bogie wheels, learning valuable lessons in mechanical testing, CAD design, and collaborative engineering work.

Education

Hochschule Offenburg

Oct 2023 - Feb 2025

Master of Science in Renewable Energy and Data Engineering

Coursework: Energy Economics | Power Plants and Power Systems | Energy Storage, Conversion and Transport | Energy Usage in Industrial Processes | Energy Data Engineering | Renewable Energy Systems | Operations Research in Energy Economics | Power Electronics and Grid Control | Grid Operation, Analysis and Communication | Data Engineering and Management with IoT Devices

Skills Developed: Python Programming | Ensemble Learning | ARIMA | Predictive Modeling | Machine Learning | Financial Instruments | Analytics | Power Trading | Computer Science | Microsoft Excel

Udacity

2021

Nanodegree Program - Machine Learning by AWS

Completed comprehensive training in machine learning fundamentals and AWS cloud services, covering supervised and unsupervised learning, deep learning, and deployment of ML models on AWS infrastructure.

Army Institute of Technology (AIT), Pune

Aug 2014 - July 2018

Bachelor of Engineering - Mechanical Engineering

Coursework: Manufacturing | Strength of Materials | Mechatronics | Thermodynamics | Theory of Machines | Dynamics of Machinery | Product Design | Material Science | Industrial Engineering | Robotics | Design of Machine | I.C. Engines

Skills Developed: MATLAB | C Programming | AutoCAD | SolidWorks | Abaqus | Hyperworks

Projects

Energy-Data-Visualization-and-Time-Series-Analysis

This project includes scripts and models for analyzing and visualizing energy data through comprehensive time series analysis. The primary focus is on decomposing trends and seasonality, daily profile analysis, and selecting and deploying ARIMA models for forecasting.

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Predictions-through-Regression

This project includes scripts and models for analyzing energy data and making predictions on various key metrics related to renewable energy, gas plants, and coal plant phase-out. The primary focus is on using linear regression and multiple linear regression (MLR) models to derive actionable insights.

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Fossil-Hardcoal-Generation-Analysis-and-Classification

This project consists of scripts and models for analyzing actual generation data for fossil hardcoal technology. The project involves exploratory data analysis, binary classification, and evaluation of multiple machine learning models to predict energy generation patterns.

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Real-estate-investment

Comprehensive analysis project focused on real estate investment opportunities, utilizing data analytics and statistical modeling to evaluate property values, market trends, and investment potential.

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Skills

Awards & Certifications

Best Debutant Award

During my time at Volkswagen Group Technology Solutions India Pvt. Ltd., I received a Recognition Award for exceptional performance delivered within a notably short timeframe. This achievement highlighted my ability to quickly adapt and contribute meaningfully to company initiatives. Throughout this period, I consistently met all established Key Performance Indicators (KPIs), demonstrating my commitment to quality, efficiency, and project goals. This recognition validated my technical skills and dedication to excellence in a fast-paced corporate environment.

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Best Innovation Award

During my tenure at Volkswagen Group Technology Solutions India Pvt. Ltd., I was honored with a Recognition Award that celebrated my "Out of the Box" thinking and creativity aligned with business and company objectives. This recognition acknowledged my innovative approach to problem-solving and ability to generate fresh ideas that supported organizational goals. Most notably, I successfully automated previously manual tasks, implementing solutions that reduced operational efforts by 20%. This automation initiative not only improved efficiency but also allowed team members to redirect their focus toward more strategic activities, demonstrating the tangible business value of creative thinking applied to practical challenges.

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Best General Body Member

During my time with the Rotaract Club of Pune Camp Pioneers, I was presented with a Recognition Award acknowledging my active participation across all club events. The organization specifically highlighted my exceptional punctuality, recognizing me as a consistently reliable member who could be counted on to attend and contribute to activities in a timely manner. This recognition reflected my commitment to the club's mission and my dedication to being a dependable team member who valued both the organization's time and the impact of our community service initiatives.

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Outstanding Volunteer as Content Writer

During my time as a volunteer content writer at Coders Evoke, I was honored to receive the "Outstanding Volunteer" award in recognition of my exceptional contributions to the organization's communications efforts. This distinction acknowledged my ability to craft compelling, impactful content that effectively communicated the organization's mission and initiatives to diverse audiences. Through my writing, I helped raise awareness about important causes, engage community members, and inspire action. My dedication to producing high-quality written materials consistently exceeded expectations, demonstrating both technical skill and a genuine passion for the organization's work. This recognition highlighted not only my writing abilities but also my commitment to using these skills to make a meaningful difference through volunteer service.

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ITIL Foundation Level Certification

Achieved ITIL Foundation Level certification, demonstrating comprehensive understanding of IT Service Management best practices, processes, and frameworks. This certification validates knowledge in service lifecycle management, including service strategy, design, transition, operation, and continual service improvement.

Python & Machine Learning Certifications

Completed professional certifications in Python programming and Machine Learning, demonstrating proficiency in data analysis, algorithm implementation, and machine learning model development. These certifications validate expertise in modern data science tools and techniques essential for building intelligent systems.

Volunteer

Rotaractor at Rotaract Club Freiburg

Currently engaging in various community service activities with Rotaract Club Freiburg, including a book donation drive for literacy initiatives, catering for club events, and an environmental restoration project in the Black Forest where I help plant trees. These experiences allow me to contribute to both social and environmental causes while connecting with like-minded individuals dedicated to community service and sustainable development.

Rotaractor at Rotaract Club of Pune Camp Pioneers

During my active membership with the Rotaract Club of Pune Camp Pioneers, I participated in several impactful humanitarian initiatives. I contributed to educational access by donating essential stationery items to two notable NGOs: Door Step School and Care Foundation (Emmanuel Public School). These donations helped provide necessary learning materials to underprivileged students, supporting their educational journey. Additionally, when the Mahad region was devastated by flooding, I contributed financially to relief efforts coordinated by our club. This monetary donation helped provide emergency supplies, temporary shelter, and other critical resources to affected families during their time of need. These experiences reinforced my commitment to community service and demonstrated the importance of collective action in addressing both ongoing societal needs and responding to unexpected crises.

Content Writer at Coders Evoke

During my volunteer role at Coders Evoke, I took on significant responsibilities in their digital marketing efforts by creating engaging advertisement posts. I developed compelling visual and written content strategically designed to promote the organization's events, workshops, and technical initiatives to the broader coding community. My work involved crafting eye-catching graphics and persuasive copy that effectively communicated the value proposition of Coders Evoke's offerings while maintaining consistent brand messaging. Through careful attention to design principles and marketing psychology, I helped increase engagement metrics across their social media platforms. This experience enhanced my creative skills while allowing me to contribute meaningfully to an organization dedicated to fostering coding education and community building among technology enthusiasts.

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