Animesh B.-Internship Data Science / Data Analytics

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Experience
Internship Data Science / Data Analytics
Grob Werke GmbH
- Developed, designed, and implemented ETL pipelines for the automatic extraction, transformation, and updating of machine data via REST APIs (Python, OOP)
- Analyzed and processed large volumes of sensor and machine datasets with Python (Pandas, NumPy, SciPy) to identify patterns and time-series-based anomalies in industrial system data
- Developed and implemented machine learning methods (Clustering, XGBoost, Regression) for data-driven time series analysis of technical processes and predictive quality analysis
- Ensured data quality through validation, plausibility checks, and error analyses
- Prepared and presented analysis results for non-technical stakeholders
- Contributed to interdisciplinary IT and data projects in close cooperation with developers, project management, and specialist departments
- Collaborated with interdisciplinary teams and applied software engineering best practices (Git, code reviews, Agile/ Scrum methods, version control)
Master's Thesis
Grob Werke GmbH
- Validated stator design parameters using image processing techniques
- Developed a Python-based web application for processing and analyzing 3D geometry data (STL), including meshing for the measurement of electric motor components and 3D visualization
- Developed a graphical user interface (Streamlit/Plotly) for visualizing and analyzing 3D measurement data
- Verified and validated the developed algorithms through statistical comparative analyses between automated measurements and manual reference measurements; checked the determined measurement values against design specifications to ensure quality
- Implemented algorithms for image and geometry processing to automatically extract relevant design parameters
- Modeled data and implemented a relational database (SQLite/SQL)
- Visualized measurement data in the web application's dashboard (Plotly, Matplotlib, Streamlit)
Internship Advanced Analytics
Grob Werke GmbH
- Modeled and simulated electric drives in Simscape; programmed in MATLAB; performed nonlinear optimization of functional blocks for actuator control and regulation using PID controllers in SIMULINK
- Data analyses: base85 decryption of an xml file to extract the transfer function of an NC axis
- Multibody simulation: Python Journal-based geometry optimization, including the application of iterative solution methods under the boundary conditions of a customer-controlled stacking wheel in Siemens NX
- Investigated the transient FEM solver (Siemens NX SOL112) for the structural-dynamic analysis of real mechanical systems under time-dependent loading
Industry experience
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Experienced in Manufacturing.
Business area experience
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Experienced in Business Intelligence, Information Technology, Quality Assurance, Product Development, and Research and Development.
Summary
Data Analyst profile with practical experience in data analysis and preparation using Python (Pandas, NumPy, SciPy) and SQL. Development of ETL pipelines, machine learning models (Clustering, XGBoost, Regression), and interactive dashboards (Plotly, Streamlit) to derive recommendations for action for specialist departments. Also experienced in image processing and 3D geometry processing as well as C++
Skills
- Programming: Python (Advanced), C++ (Experience), C (Experience)
- Machine Learning & Ai: Tensorflow (Good Knowledge), Keras (Good Knowledge), Pytorch (Good Knowledge), Scikit-Learn (Advanced), Opencv (Advanced), Scipy (Advanced)
Languages
Education
Universität Duisburg-Essen
M.Sc, FEM Simulation Technology, Numerical Methods, Structural Dynamics, Python and C++ Programming, LINUX · Computational Mechanics · Germany · 1,7 / 5,0
Motilal Nehru National Institute of Technology Allahabad
B.Tech, Mechanical Engineering, Thermodynamics, Fluid Mechanics · Mechanical Engineering · Prayagraj, India · 8,48 / 10,0
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Animesh is based in Mindelheim, Germany.
Animesh speaks the following languages: Hindi (Native), German (Advanced), English (Advanced).
Animesh has at least 1 year of experience. During this time, Animesh has worked in at least 3 different roles and for 1 company. The average length of individual experience is 5 months. Note that Animesh may not have shared all experience and actually has more experience.
Based on recent experience, Animesh would be well-suited for roles such as: Internship Data Science / Data Analytics, Master's Thesis, Internship Advanced Analytics.
Animesh's most recent position is Internship Data Science / Data Analytics at Grob Werke GmbH.
In recent years, Animesh has worked for Grob Werke GmbH.
Animesh is most experienced in industries like Manufacturing.
Animesh is most experienced in business areas like Information Technology, Business Intelligence, and Quality Assurance. Animesh also has some experience in Product Development and Research and Development.
Animesh holds a Master in Computational Mechanics from Universität Duisburg-Essen and a Bachelor in Mechanical Engineering from Motilal Nehru National Institute of Technology Allahabad.
The availability of Animesh needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 26 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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