Bosch Rexroth

Business Objective: Using data-driven methods for quality determination of weld spots and reduce usage of time-consuming conventional methods.

• Development of Rexroth’s Weld Spot Analytics (WSA) WebApp hosted on the Cloud
• Created machine learning models to deploy them in the WSA app
• Created a classification machine learning model in XGBoost and RandomForest
• Integrated new machine learning models in the existing code pipeline
• Object-oriented Python programming
• Used Azure DevOps to manage the software development cycle
• Data visualization using ggplot in Python
• Normalization of the time series data using pandas

Working Student

Bosch

Topic: Machine Learning in Resistance Spot Welding

• Performed resistance spot welding tests for data acquisition
• Performed Exploratory Data Analysis to understand the data
• Root cause analysis to eliminate anomalies in the data
• Pre-processed and cleaned the data set
• Extracted the important features for training of machine learning models
• Created an XGBoost regression model for predicting the spot-welding nugget diameter
• Created stacked model in XGBoost (Ensemble method)
• Visualized results using ggplot in Python
• Model performance visualized using PowerBI

Master Thesis

TechLabs Aachen e.V.

Project: Analysis of Grünenthal's Sales and Promotion Data

-Data Analysis on the real world Sales and Promotion Data provided by Grünenthal GmbH
-Visualization of the Product Sales according to the Pack Size of the Products using Python
-Writing code in Python to handle the large amount of data and plotting numerous plots for analysis
-Finally determining the affect of a launch of a new Pack Size of the Product on older Pack Sizes

Result: The sales of a product by Grünenthal were determined and the affect of the Pack Size was taken into consideration. It was found from the analysis that the launch of a new Pack Size significantly increased the Sales of the Product compared to the older Pack Size. The analysis thereby proved that the Launch of a new Pack Size was the right decision as it performed well in the market.

Data Science - Techie

Fraunhofer ILT

Department: Laser Medicine technology and Bio-analytics

- Sensor Signal data evaluation and visualization in Python
- Adjustment and calibration of spectrometers
- Automated generation of testing protocols using Python

Studentische Hilfskraft

IXUN Lasertechnik GmbH

-Involved in the process setup for Laser Metal Deposition (LMD)
-Monitoring and optimization of the LMD process
-Handling of the Cartesian system and robotic handling system used in LMD
-Powder preparation and sieving for the LMD process
-Maintenance of the powder distribution unit 
-Control and optimization of the internal and external laser cladding process

Intern

Institut für Schweißtechnik und Fügetechnik RWTH Aachen

-Laser pre-treatment of glass fiber reinforced Polyamide 6
-Water absorption behaviour of Polyamide 6
-Adhesive bonding of lap shear samples
-Conducting lap shear tests

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