Master thesis topics of programme graduates

Selected topics of successfully completed Master thesis

Semester Name  First Name Topic
SS 18 Arora Anish Improved credit risk scorecard through Logistic Regression specific binning techniques
Banjar Bedour The Role of Personal characteristics for Project Managers on the Project Success in Saudi Arabia Companies
Bhardwaj Arun Kumar Analysis of Text Analytics Algorithms to develop a Smart Search Engine
Bharti Ved Prakash Recommendation system and its application
Espitia Garcia Monica Andrea Headcount Predictive Modelling of a Business Line in the Automotive Sector
Hoyos Jose Mauricio Innovation in Project Management. How to encourage a project team to become more innovative.
Kumaran Arun Theory and application of an Auto-Suggest engine based on a Hybrid recommendation systems
Meneses Barroso Sandra Yojana A multilingual classifier of proficiency level through deep learning
Pareek Tanu Shree Decision support tool for the management of severe trauma
Penugonda Lakshmi Priyanka Best Practices in Business Intelligence System  - An Example Driven Analysis - 
Sassikumar Vishnu Vijay Can Agile be Adopted to the Challenges of IIoT? 
Shahjahan Md Developing Project Management Method for Blockchain Implementation in Supply Chain
WS 18/19 Chalermphao Siraprapa Comparison of Communication Patterns in Projects
Davis Delvin Sentimental analysis of Android playstore customer reviews meta-data using text mining
Dhiman Anubhav Customer Lifetime Value prediction for Flaconi GmbH
Gopal Premkumar Sharvesh Buzz Analysis Of Online Gaming Campaigns for different Social Media Channels Using Text Mining
Irkin Onurhan Customer Segmentation with Unsupervised Learning
Kamble Vinal Ramesh Dealing with imbalanced datasets - an overview of approaches and methods
Mendoza Jaime Analyzing Music Preferences - Theory and Practice of modeling consumer behavior
Mudlapur Karthik Identification of Mechanical Components During Inspection Using Computer Vision With Deep Neural Networks
Narkar Sourabh Sudhir Scraping the web for trending innovations using text mining techniques in Manufacturing Industry
SS 19 Bondar Rinku Santram Implementing a chat bot for customer service based on data mining
Cardenas Velasquez Carlos Guillermo Added business value by implementing Chat-bots - Statistical details, Best Practices and Proof of Concept
De la Cruz David Predicting the return of a SKU analysis on the factors behind returns
Liu Ching-Ju Machine Translation into English from Variable Numbers of Keyframes of American Sign Language Videos
Malela Charan Teja Building a recommender engine with respect to customer sementation - A proof of concept for OBETA
Nangia Abhinav Entity matching with methods for NLP on a data stock containing mainly patent and research funding information
Nguyen Huyen Trang Theory and Practice of Algorithms to deal with imbalanced datasets
Raghav Raghav Imbalanced Data in Data Mining - Theory and best practices in statistical Modelling
Ramachandra Madhuri Real Time Social Media Analysis using Machine Learning Techniques
Sharma Nakul Intelligent Matchmaking In Insurtech Domain
WS 19/20 Arias Trejos Ana Maria Clustering customer journeys
Borja Marcial Boris Gabriel Risk Assessment of the Hello Fresh Upstream Supply Chain in Germany
Dobariya Bhumika Nareshbhai Building and evaluating a movie recommender engine
El-Zayat Mostafa Mohamed Mostafa Abdelmeged Modeling Deep Machine learning in Business Intelligence for Fintech Industry
Kattimani Siddaling Gurupad Data Warehousing to Enable and Optimize an Omnichannel Food Platform
Koleszar Robert Cunningham Theoretical Approaches to Alphanumeric MID-Matching in the Financial Industry
Linganna Bhavya The benefits of Scrum methodology in non-profit-projects
Mohammad Faharideen Awal Does naive diversification outperform modern portfolio theory? An empirical investigation.
Nahar Prasanna Popatlal Multi Lingual Sentiment Analysis to Improve Customer Experience
Niederdellmann Robin Business Application of Artificial Intelligence: Statistical Details and proof of concept of Hybrid Recommender Systems
Park Hyun Hee Predictive model for forecasting demand focussing on marketing-related factors - Case study
Rohilla Mohit Business Intelligence - Theoretical Findings and Best Practices
Scheibe Felix Nikolaus The Rise of Python and Qlik Sense in Data Science: Prospects and Limitations - Two case studies from the aviation industry
Shen Ting Time series forecasting with statistical, data mining and machine learning techniques
Tai Chun-Han Evaluation of a Big Data Streaming Pipeline Solution: A Case of Data Transmission in Apache Kafka
Xie Jeng Shu-Jen Empirical analysis of stock market reactions to the announcement of female top executives
SS 20 Chen Shih-Yi Aspect-based Sentiment Analysis: an unsupervised approach to expand Sentiment Lexicon
Costa Cordova Andres An analysis on the shifting patterns from ownership to subscription economy
Dixit Anuj Uday Business Intelligence: A case study - Theoretical findings and best practices
Grover Parul Cancer prediction using Data Mining
He Xia Theory and application of Sentiment analysis of Amazon reviews using machine learning and transfer learning - An empirical case study
Im Aelee Development of forecasting model to identify emerging business topic via text mining approach using patent data
Patruni Sunghill Identification of structures through Process Mining
Pundir Neetu Building a Recommendation Engine - In empirical case study
Roldan Solano Laura Patricia Conversion prediction - Theory and proof of concept of customer behavior in online freight forwarding
Sahni Aashish Comparison of data mining approaches on local and cloud services
Samuel Roshan Applying supervised machine learning techniques to predict user supscription pattern in bank tele-marketing
Shafiq Muhammad Haris Evaluation of Deep Learning architectures for defect detection in laser welding applications
WS 20/21 Exner Susanne Carina Data Warehouse Projects in Practice Exploring Divergence from Theoretical Concepts
Jesani Hardik Discriminating similar languages(DSL) using Natural Language Processing (NLP)
Kannan Janani Process Mining - A Theoretical & Emprical Approach
Mun Hyemi Natural Language Processing - An empirical case study, Topic modeling
Nguyen Thi Ha Linh Customer segmentation using RFM approach and unsupervised learning method – Theory and Case study
Ruiz Montanez Andrés Implementaton of Machine Learning Projects in the Business Environment
An Empirical Case Study About Organizational Readiness
Spencer Damian Harris Agile and Scrum - An Empirical Study of the Feasibility of Story Points
Taan Esther Ruth Sentiment Analysis of Amazon Product Reviews - an Empirical case study
Uray Aydogan Damla Fraud Detection Using Data Mining Techniques - An Empirical Case Study
SS 21 Albarazi Ayah Detecting Fake Profiles on Social Networks using NLP and Machine Learning
Binani Pratika Inferring the effect of Off-line advertising campaigns using Causal Impact
David Wahrendorff Camila A review and case study examining the literature and data science methodologies for the detection and propa-gation of fake news in digital media.
Jaafar Farah Building a supervised machine learning predictive model in detecting fraudulent merchants based on payment history
Jadon Ashish Application of Machine Learning to Process Data for an Operator Assistance System
King Catherine The Application of Prescriptive Models in COVID-19 Lockdown Decisions
Kumar Kishlay Predicting Customer behaviour in a quick commerce company
Malik Vipul Multiclass Classification of Manufacturer Parts in the Industrial Aftermarket
Nandakumar Nivya Predicting and analysing customer behaviour for a subscription-based e-commerce company.
Poboon Pawin The use of machine learning to predict a company's earnings
Sandoval Jose Alejandro Positive and negative economic impact during the Covid-19 crisis: A quantative comparison of digital businesses and traditional businesses
Sariputi Hima Bindu Customer Segmentation - How to anticipate the future market potential of the industry/Market based on existing customer purchasing patterns by usng customer segmentation
Sawant Sharvari Customer segmentationUsing unsupervised machine learning algorithms to perform customer segmentation which identifies the target customers
Schloo Bianca Data centricity: A framework approach to assess the value of data for companies
Xu Wenzhang A sentiment analysis of Amazon datasets and its application
Yolagel Sitki Ender Building A Recommender System on Knowledge Graphs with Neural Networks - A Proof of Concept for Deutsche Telekom
WS 21/22 Gumma Nandhinee Sankara Creating an enhanced predictive model for listing prices in residential real estate market using transaction data
Nandkumar Sharan Optimizing order to delivered time
Ladhwe Shantanu Productionalizing BERT based Financial FAQ chatbot using transfer learning powered by cloud ML-Ops
Lin Yi-Hsuan A recommender system for analytical assets: MVP for SAP Enterprise Analytics Store
Sharma Yagya Dutt Image classification - A proof of concept to categorize clothing images
Iglesias Gonzalez Jose Alejandro Building a Recommender Engine - Cooperation with OBETA
Ngo Thu Trang Applications of Machine Learning in Online Shopping Purchasing Intention
Iyiola Abayomi Implemention of Predictive Customer Analytics on Historic Data to Determine New Potential Investors ( Case Study: Moonfare GmbH)
Kasymova Madinakhon Generating Natural Language Descriptions of Image Content using Neural Networks
SoSe 22 Pandi Behzad Image recognition with deep learning techniques
Nagata Ken Sentiment Analysis for Amazon Product Reviews using Machine Learning Algorithms: Theory and an Empirical Case Study
Dewes Florian Building a State-of-the-Art Deep Learning German-Language Information Extraction System
Lopez Toledo Luis Enrique Building a product recommendation engine for a retail sector company using Azure cloud services
Nino Pedraza Karen Lorena Breaking down time series applying advanced data mining techniques: An empirical case on the music industry
Flores Jorge Oswaldo Breaking down time series applying advanced data mining techniques: An empirical case on the music industry
Sharma Surbhi Building Recommendation Systems
Deshpande Anushruti Identifying relevant features and its impact on the price of real estate using data mining
Bhatia Aakash Stock Transfer Analysis and Trend Predictions - An empirical study
Yadav Vishal Identifying customer preferences and support businesses using product recommender engines
Basti Trishala Image Classification using Deep Learning techniques
Dhandapani Vinothkumar NLP Sentiment Analysis on Amazon reviews
Kharel Riwaj Machine learning approach to detect fraudulent banking transactions
Sunam Satakshi Applying data mining techniques to build a Recommender Engine on an empirical dataset
Khanna Kartavya Predictive Forecasting and analysis to improve Waste Management for the Fresh foods segment in Quick-Commerce for Getir GmbH.
WS 22/23 Märker Arik Extract, transformation and load of production data to create an interactive dashboard for part traceabiltity, system status and Key-Performance-Indicators
Razak Fatimah Abdul Cost Change Prediction and Analysis using Data Mining Techniques in the Home Goods Market
Schwarz Ferdinand Artificial Intelligence in pain recognition: Developing and investigating deep learning models for automated pain assessment
Yousaf Muhammad Sentiment Analyses for Amazon review
Tsai Ya-Ting Customer segmentation using Machine Learning - A empirial case study in the E-commerce sector
Elshobockshy Majd Categorizing customer feedback using sentiment analysis - Theory and application
Aboueid Rania Project management and organizational change management alignment, how and why?
SoSe 23 Khoa Le Dan A Comparartive Study of Fusion Techniques in Multimodal Deep Learning for Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Patients Using MRI and Clinical Data
Direkoglu Ugur Aras Building & Evaluating a Recommendation System with Neural Networks based on Purchase Data with Implicit Feedback
Meng Michael The Impact of gender Bias in Generative AI
Tanvir Hina A Framework for Analysis of Cervical Cytology Cells to Automate Cancer Screening
Lynch Francisco The regulation of generative AI: Analyzing existing and proposed regulatory approaches for generative AI,  and considering their effectiveness in promoting ethical and legal standards for corporate responsibility and accountability
Hurry Nirvaan Theory and Application of Recommender Engines – An empirical case study
Pomay Polat Ekin A sentiment analysis of Amazon review datasets and its applications
More Prasad Anil Keyword Extraction for Sentiment Analysis to characterize the Customer Opinions from Restaurant Review
Laowiwat Chayanon Improving the causal estimates on Audible Double Machine Learning model for long term value to make better decisions
Tran My Applying Predictive Sentiment Analysis and Topic Modeling for Social Media Comments to Improve Retailers' Online Presence

Shrirang Dharm		 Himanshu Analyzing consumer impressions in Ecommerce data through feature extraction and sentiment analysis using deep learning
Orrico Cousin Pablo Isaac Customer Segmentation Using Unsupervised Machine Learning Methods and RFM Model - Theory and Case Study
Hakmana Pathiranage Lahiru Unsupervised learning approach for short text clustering
Song Zeyu Using Data Science Techniques Topic Modeling and Sentiment Analysis to Understand the Changes in Social Values in the Context of COVID-19 Pandemic
Gupta Himansha Determing Representatives of Geometry Clusters for Sheet Metal Processing
WS 23/24 Birol Ekinci Duygu Concept-Based Interpretation of Deep Learning Models for Alzheimer's Disease Prediction from Neuroimaging Data
Rieckmann Inke Understanding Social Class Dependencies in Data Science
Dsouza Rashmi Carol Digitalizing Railway Infrastructure Maintenance Planning with Non-Invasive Sensor Data: A Case Study with Siemens Mobility
Pham Quynh Cultivating Consumer Insights from Customer Reviews: A Comprehensive Analysis Using Topic Modelling in Natural Language Processing
Reyes Mendez Marco Antonio Improving Customer Retention using Decision Trees in Marketing Strategies
Farrye Masri Javier Alejandro Enhancing Failure Detection Of Hard Drives Using Predictive Maintenance And Smart Attributes
Chen Yi Tong Leveraging Few-Shot Prompting with LLMs for Machine Translation - Analysis of Accuracy Gain Through Examples Determined by Text Similarity
Jayesh Vora Deep Sentiment Analysis for Hate Speech: Analyzing Linguistic Classification of the Language
Baxter Charles Analyzing the Implementation and Impact of Scaled Agile Framework (SAFe) in Large Organizations: A Case Study Approach
Sahoo Sheetal Predictive Maintenance using Machine Learning Approaches
de Leon Salomon Gibran Transitioning from Keyword-Based Image Retrieval to Semantic Search: An Assessment of Image Retrieval Approaches and a Proof of Concept for an Open-Source Image Semantic Search Engine
Bhavsar Preksha Applying NLP on Social Media Dataset For Contextual Information Extraction and Prediction of Traffic Conditions
Sapkal Monika Role of Advanced Reporting Methodology for Applying Data Governance Regulations in Lakehouse Environments