Master thesis topics of programme graduates

Selected topics of successfully completed Master thesis


Semester Name Topic
SoSe 25  Bhoomika Jagadeesha Leveraging Synthetic Data for Machine Learning Models in Predictive Maintenance: A Framework for Scalable Solutions
   Dhiren Bharat Rana Predicting Stock Prices Using Time-Series Models with Sentiment analysis: Indian Stock Market (NSE)
   Divya Vijay Haldankar From Retention to Revenue: A Dual Approach to Predicting Customer Churn and Lifetime Value in E-Commerce
   Eren Bayoğlu Feature Selection Methods for Real Estate Price Prediction in Different Geographic Markets
   Fiorella Rivero Leveroni Business Analytics : Theoretical Findings and Best Practices
   Jing Kang Opinion Mining Using NLP -An Empirical Case Study of the Electric Vehicle Consumer Market
   Megha Bhatia Study of AI and ML techniques applicable in Risk Management in IT projects
   Naman Mathpal Data Driven Customer Segmentation in Fashion (e commerce) for Personalised Marketing
   Oliver Kwabena Aggrey The Impact of Cross-Cultural Code-Switching Behaviours of International Virtual Teams During Project Delivery
   Ömer Faruk Sevincel Data-Driven Decision Making in Project Management.
   Paula Andrea Barrantes Rodriguez Performance Evaluation of Feature Selection Methods in Enhancing Model Classification for a Dataset with Varied Scale Types.
   PEI HUA YUNG Classification Methods for Epileptic Seizure Prediction
   Peter Gutjahr Automated Information Redaction in Law Enforcement Documents: Evaluating and Deploying a machine learning-driven redaction
   Pimsiri Luangrittivut Retail Demand Forecasting Using Machine Learning Models
   Rutik Sunil Bankar Generating and Analyzing Data for Predictive Maintenance
   Spoorthi Ranganath A Multi-Agent AI Framework for Task Execution with Locally Offline LLMs
   Tanmay Sanjeev Joshi Sentiment Analysis: A Comparison of Traditional Machine Learning and Transformer-Based Models
   Tasnim Zerin The impact of data analytics on the management and success of projects - A systematization of recent findings
   Thu Nguyen Building and Evaluating a Session-Based Recommendation System for the E-Commerce Domain
  Yeonghyeon Kang From Creation to Consumption: The Application, Impact, and Future Implications of AI in the Music Industry
WS 24/25  Adham Farouk Hassan How can a recommendation engine be optimized for an e-commerce platform to effectively enhance user engagement by predicting and prioritizing products of highest interest to individual users?
   Ayca Sanem Osswald An Empirical Comparison of Traditional Data Mining Techniques and Ensemble Methods for Customer Churn
   Lorika Halili The Potential of Data in Healthcare: Challenges and Strategic Approaches
   Khushboo Vitonde RFM Analysis for Customer Segmentation Methods – Theory and Case Study
   MARIEJEM JESSA CRISOSTOMO Enhancing Tenant Satisfaction in Co-Living Spaces: A Data-Driven Approach, case study at The Base
   Osama Al Mofti Customer Segmentation Using Clustering Techniques
SoSe 24  Akshay Rajesh Comparison of Auto ML frameworks with traditional models
   ECEM GUNHAR AKURAS Identifying effective machine learning techniques for detecting fraudulent activities in credit card transactions.
   Fidelis Duru Harmonizing Sentiment with Sales: Predicting Music Album Success through Social Media Sentiment Analysis
   Garima Prasher Customer Segmentation of Online Retail Customers
   Juan Luis Rocha Jimenez Algorithmic Trading Strategies: Building a Predictive Model for Price Movement Classification in Financial Markets
   Laura Guinand Predictive Analysis of Solar Energy Production - What is the predictive accuracy of machine learning models in forecasting solar power generation based on historical power output data and environmental conditions?
   Lidia Requena Paz Application of Artificial Intelligence Models for Portfolio Optimization in the Futures Market
   Maria Betania Gari Predictive Analytics: Combining Technical Indicators with Classifier Predictions for Asset Management
   Mehmet Cem Akuras Using NLP Sentiment Analysis Techniques on Amazon Product Reviews to Improve Efficiency of Customer Support Teams
   Mohammad Badarneh Machine Learning Techniques for Fraud Detection in Bank Transactions: An Empirical Study
   Nana Hawa Sadiq Leveraging Natural Language Processing for Customer Perception Analysis
   Pablo Faúndez Development of a Tool for AI-Generated Text Detection
   Saurabh Karabhari Mapari Sentiment Analysis, Keyword Extraction and Topic Modelling using Generative AI
   Shinu Joseph Design and Evaluation of a Recommendation Engine for Optimal User Experience and Efficiency
   Simona Paskaleva Comparison of Imputation Methods
   Talat Zakirhusen Sayyed Sentiment Analysis - Sentiment Analysis – Using statistical methods for classification purposes
   Theema Makkapan Applying Machine Learning to Credit Risk Modeling
   Tram Ngoc Luu Text Classification Using Transformer and LLM Models: A Case Study on Mental Health Detection
   Ying Ying Chen Real Estate Price Prediction Using Traditional Machine Learning and Deep Learning
   Yuqing Huang Analyzing Gender Bias in Parental Roles based on GPT-3.5 Generated Text
   Zhiting Du The data pipeline for business intelligence
WS 23/24 Duygu Birol Ekinci Concept-Based Interpretation of Deep Learning Models for Alzheimer's Disease Prediction from Neuroimaging Data
  Inke Rieckmann Understanding Social Class Dependencies in Data Science
  Rashmi Carol Dsouza Digitalizing Railway Infrastructure Maintenance Planning with Non-Invasive Sensor Data: A Case Study with Siemens Mobility
  Quynh Pham Cultivating Consumer Insights from Customer Reviews: A Comprehensive Analysis Using Topic Modelling in Natural Language Processing
  Marco Antonio Reyes Mendez Improving Customer Retention using Decision Trees in Marketing Strategies
  Javier Alejandro Farrye Masri Enhancing Failure Detection Of Hard Drives Using Predictive Maintenance And Smart Attributes
  Yi Tong Chen Leveraging Few-Shot Prompting with LLMs for Machine Translation - Analysis of Accuracy Gain Through Examples Determined by Text Similarity
  Deep Jayesh Vora Sentiment Analysis for Hate Speech: Analyzing Linguistic Classification of the Language
  Charles Baxter Analyzing the Implementation and Impact of Scaled Agile Framework (SAFe) in Large Organizations: A Case Study Approach
  Sheetal Sahoo Predictive Maintenance using Machine Learning Approaches
  Gibran de Leon Salomon 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
  Preksha Bhavsar Applying NLP on Social Media Dataset For Contextual Information Extraction and Prediction of Traffic Conditions
  Monika Sapkal Role of Advanced Reporting Methodology for Applying Data Governance Regulations in Lakehouse Environments
SoSe 23 Dan Khoa Le A Comparartive Study of Fusion Techniques in Multimodal Deep Learning for Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Patients Using MRI and Clinical Data
  Ugur Aras Direkoglu Building & Evaluating a Recommendation System with Neural Networks based on Purchase Data with Implicit Feedback
  Michael Meng The Impact of gender Bias in Generative AI
  Hina Tanvir A Framework for Analysis of Cervical Cytology Cells to Automate Cancer Screening
  Francisco Lynch 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
  Nirvaan Hurry Theory and Application of Recommender Engines – An empirical case study
  Ekin Pomay Polat A sentiment analysis of Amazon review datasets and its applications
  Prasad Anil More Keyword Extraction for Sentiment Analysis to characterize the Customer Opinions from Restaurant Review
  Chayanon Laowiwat Improving the causal estimates on Audible Double Machine Learning model for long term value to make better decisions
  My Tran Applying Predictive Sentiment Analysis and Topic Modeling for Social Media Comments to Improve Retailers' Online Presence
  Himanshu Shrirang Dharm Analyzing consumer impressions in Ecommerce data through feature extraction and sentiment analysis using deep learning
  Pablo Isaac Orrico Cousin Customer Segmentation Using Unsupervised Machine Learning Methods and RFM Model - Theory and Case Study
  Lahiru Hakmana Pathiranage Unsupervised learning approach for short text clustering
  Zeyu Song Using Data Science Techniques Topic Modeling and Sentiment Analysis to Understand the Changes in Social Values in the Context of COVID-19 Pandemic
  Himansha Gupta Determing Representatives of Geometry Clusters for Sheet Metal Processing
WS 22/23 Arik Märker Extract, transformation and load of production data to create an interactive dashboard for part traceabiltity, system status and Key-Performance-Indicators
  Fatimah Abdul Razak Cost Change Prediction and Analysis using Data Mining Techniques in the Home Goods Market
  Ferdinand Schwarz Artificial Intelligence in pain recognition: Developing and investigating deep learning models for automated pain assessment
  Muhammad Yousaf Sentiment Analyses for Amazon review
  Ya-Ting Tsai Customer segmentation using Machine Learning - A empirial case study in the E-commerce sector
  Majd Elshobockshy Categorizing customer feedback using sentiment analysis - Theory and application
  Rania Aboueid Project management and organizational change management alignment, how and why?
SoSe 22 Behzad Pandi Image recognition with deep learning techniques
  Ken Nagata Sentiment Analysis for Amazon Product Reviews using Machine Learning Algorithms: Theory and an Empirical Case Study
  Florian Dewes Building a State-of-the-Art Deep Learning German-Language Information Extraction System
  Luis Enrique Lopez Toledo Building a product recommendation engine for a retail sector company using Azure cloud services
  Karen Lorena Nino Pedraza Breaking down time series applying advanced data mining techniques: An empirical case on the music industry
  Jorge Oswaldo Flores Breaking down time series applying advanced data mining techniques: An empirical case on the music industry
  Surbhi Sharma Building Recommendation Systems
  Anushruti Deshpande Identifying relevant features and its impact on the price of real estate using data mining
  Aakash Bhatia Stock Transfer Analysis and Trend Predictions - An empirical study
  Vishal Yadav Identifying customer preferences and support businesses using product recommender engines
  Trishala Basti Image Classification using Deep Learning techniques
  Vinothkumar Dhandapani NLP Sentiment Analysis on Amazon reviews
  Riwaj Kharel Machine learning approach to detect fraudulent banking transactions
  Satakshi Sunam Applying data mining techniques to build a Recommender Engine on an empirical dataset
  Kartavya Khanna Predictive Forecasting and analysis to improve Waste Management for the Fresh foods segment in Quick-Commerce for Getir GmbH.
WS 21/22 Nandhinee Sankara Gumma Creating an enhanced predictive model for listing prices in residential real estate market using transaction data
  Sharan Nandkumar Optimizing order to delivered time
  Shantanu Ladhwe Productionalizing BERT based Financial FAQ chatbot using transfer learning powered by cloud ML-Ops
  Yi-Hsuan Lin A recommender system for analytical assets: MVP for SAP Enterprise Analytics Store
  Yagya Dutt Sharma Image classification - A proof of concept to categorize clothing images
  Jose Alejandro Iglesias Gonzalez Building a Recommender Engine - Cooperation with OBETA
  Trang Ngo Thu Applications of Machine Learning in Online Shopping Purchasing Intention
  Abayomi Iyiola Implemention of Predictive Customer Analytics on Historic Data to Determine New Potential Investors ( Case Study: Moonfare GmbH)
  Madinakhon Kasymova Generating Natural Language Descriptions of Image Content using Neural Networks
SS 21 Ayah Albarazi Detecting Fake Profiles on Social Networks using NLP and Machine Learning
  Pratika Binani Inferring the effect of Off-line advertising campaigns using Causal Impact
  Camila David Wahrendorff A review and case study examining the literature and data science methodologies for the detection and propa-gation of fake news in digital media.
  Farah Jaafar Building a supervised machine learning predictive model in detecting fraudulent merchants based on payment history
  Ashish Jadon Application of Machine Learning to Process Data for an Operator Assistance System
  Catherine King The Application of Prescriptive Models in COVID-19 Lockdown Decisions
  Kishlay Kumar Predicting Customer behaviour in a quick commerce company
  Vipul Malik Multiclass Classification of Manufacturer Parts in the Industrial Aftermarket
  Nivya Nandakumar Predicting and analysing customer behaviour for a subscription-based e-commerce company.
  Pawin Poboon The use of machine learning to predict a company's earnings
  Jose Alejandro Sandoval Positive and negative economic impact during the Covid-19 crisis: A quantative comparison of digital businesses and traditional businesses
  Hima Bindu Sariputi Customer Segmentation - How to anticipate the future market potential of the industry/Market based on existing customer purchasing patterns by usng customer segmentation
  Sharvari Sawant Customer segmentationUsing unsupervised machine learning algorithms to perform customer segmentation which identifies the target customers
  Bianca Schloo Data centricity: A framework approach to assess the value of data for companies
  Wenzhang Xu A sentiment analysis of Amazon datasets and its application
  Sitki Ender Yolagel Building A Recommender System on Knowledge Graphs with Neural Networks - A Proof of Concept for Deutsche Telekom
WS 20/21 Susanne Carina Exner Data Warehouse Projects in Practice Exploring Divergence from Theoretical Concepts
  Hardik Jesani Discriminating similar languages(DSL) using Natural Language Processing (NLP)
  Janani Kannan Process Mining - A Theoretical & Emprical Approach
  Hyemi Mun Natural Language Processing - An empirical case study, Topic modeling
  Thi Ha Linh Nguyen Customer segmentation using RFM approach and unsupervised learning method – Theory and Case study
  Andrés Ruiz Montanez Implementaton of Machine Learning Projects in the Business Environment - An Empirical Case Study About Organizational Readiness
  Damian Harris Spencer Agile and Scrum - An Empirical Study of the Feasibility of Story Points
  Esther Ruth Taan Sentiment Analysis of Amazon Product Reviews - an Empirical case study
  Damla Uray Aydogan Fraud Detection Using Data Mining Techniques - An Empirical Case Study
SS 20 Shih-Yi Chen Aspect-based Sentiment Analysis: an unsupervised approach to expand Sentiment Lexicon
  Andres Costa Cordova An analysis on the shifting patterns from ownership to subscription economy
  Anuj Uday Dixit Business Intelligence: A case study - Theoretical findings and best practices
  Parul Grover Cancer prediction using Data Mining
  Xia He Theory and application of Sentiment analysis of Amazon reviews using machine learning and transfer learning - An empirical case study
  Aelee Im Development of forecasting model to identify emerging business topic via text mining approach using patent data
  Sunghill Patruni Identification of structures through Process Mining
  Neetu Pundir Building a Recommendation Engine - In empirical case study
  Laura Patricia Roldan Solano Conversion prediction - Theory and proof of concept of customer behavior in online freight forwarding
  Aashish Sahni Comparison of data mining approaches on local and cloud services
  Roshan Samuel Applying supervised machine learning techniques to predict user supscription pattern in bank tele-marketing
  Muhammad Haris Shafiq Evaluation of Deep Learning architectures for defect detection in laser welding applications
WS 19/20 Ana Maria Arias Trejos Clustering customer journeys
  Boris Gabriel Borja Marcial Risk Assessment of the Hello Fresh Upstream Supply Chain in Germany
  Bhumika Nareshbhai Dobariya Building and evaluating a movie recommender engine
  Mostafa Mohamed Mostafa Abdelmeged El-Zayat Modeling Deep Machine learning in Business Intelligence for Fintech Industry
  Siddaling Gurupad Kattimani Data Warehousing to Enable and Optimize an Omnichannel Food Platform
  Robert Cunningham Koleszar Theoretical Approaches to Alphanumeric MID-Matching in the Financial Industry
  Bhavya Linganna The benefits of Scrum methodology in non-profit-projects
  Faharideen Awal Mohammad Does naive diversification outperform modern portfolio theory? An empirical investigation.
  Prasanna Popatlal Nahar Multi Lingual Sentiment Analysis to Improve Customer Experience
  Robin Niederdellmann Business Application of Artificial Intelligence: Statistical Details and proof of concept of Hybrid Recommender Systems
  Hyun Hee Park Predictive model for forecasting demand focussing on marketing-related factors - Case study
  Mohit Rohilla Business Intelligence - Theoretical Findings and Best Practices
  Felix Nikolaus Scheibe The Rise of Python and Qlik Sense in Data Science: Prospects and Limitations - Two case studies from the aviation industry
  Ting Shen Time series forecasting with statistical, data mining and machine learning techniques
  Chun-Han Tai Evaluation of a Big Data Streaming Pipeline Solution: A Case of Data Transmission in Apache Kafka
  Shu-Jen Xie Jeng Empirical analysis of stock market reactions to the announcement of female top executives
SS 19 Rinku Santram Bondar Implementing a chat bot for customer service based on data mining
  Carlos Guillermo Cardenas Velasquez Added business value by implementing Chat-bots - Statistical details, Best Practices and Proof of Concept
  David De la Cruz Predicting the return of a SKU analysis on the factors behind returns
  Ching-Ju Liu Machine Translation into English from Variable Numbers of Keyframes of American Sign Language Videos
  Charan Teja Malela Building a recommender engine with respect to customer sementation - A proof of concept for OBETA
  Abhinav Nangia Entity matching with methods for NLP on a data stock containing mainly patent and research funding information
  Huyen Trang Nguyen Theory and Practice of Algorithms to deal with imbalanced datasets
  Raghav Raghav Imbalanced Data in Data Mining - Theory and best practices in statistical Modelling
  Madhuri Ramachandra Real Time Social Media Analysis using Machine Learning Techniques
  Nakul Sharma Intelligent Matchmaking In Insurtech Domain
WS 18/19 Siraprapa Chalermphao Comparison of Communication Patterns in Projects
  Delvin Davis Sentimental analysis of Android playstore customer reviews meta-data using text mining
  Anubhav Dhiman Customer Lifetime Value prediction for Flaconi GmbH
  Sharvesh Gopal Premkumar Buzz Analysis Of Online Gaming Campaigns for different Social Media Channels Using Text Mining
  Onurhan Irkin Customer Segmentation with Unsupervised Learning
  Vinal Ramesh Kamble Dealing with imbalanced datasets - an overview of approaches and methods
  Jaime Mendoza Analyzing Music Preferences - Theory and Practice of modeling consumer behavior
  Karthik Mudlapur Identification of Mechanical Components During Inspection Using Computer Vision With Deep Neural Networks
  Sourabh Sudhir Narkar Scraping the web for trending innovations using text mining techniques in Manufacturing Industry
SS 18 Anish Arora Improved credit risk scorecard through Logistic Regression specific binning techniques
  Bedour Banjar The Role of Personal characteristics for Project Managers on the Project Success in Saudi Arabia Companies
  Arun Kumar Bhardwaj Analysis of Text Analytics Algorithms to develop a Smart Search Engine
  Ved Prakash Bharti Recommendation system and its application
  Monica Andrea Espitia Garcia Headcount Predictive Modelling of a Business Line in the Automotive Sector
  Jose Mauricio Hoyos Innovation in Project Management. How to encourage a project team to become more innovative.
  Arun Kumaran Theory and application of an Auto-Suggest engine based on a Hybrid recommendation systems
  Sandra Yojana Meneses Barroso A multilingual classifier of proficiency level through deep learning
  Tanu Shree Pareek Decision support tool for the management of severe trauma
  Lakshmi Priyanka Penugonda Best Practices in Business Intelligence System  - An Example Driven Analysis - 
  Vishnu Vijay Sassikumar Can Agile be Adopted to the Challenges of IIoT? 
  Md Shahjahan Developing Project Management Method for Blockchain Implementation in Supply Chain