I enjoy working with real-world challenges and developing data science solutions to provide valuable insights and support data-driven decision-making. I have master in Computer Science and a solid background in Machine Learning, Data Analysis and Software Development.

• Recently finished working as a data science research assistant in the areas of data analysis, machine learning and Natural Language Processing
• Masters in Computer Science with a specialization in intelligence and data in at Paderborn University
• I have 3+ years of experience in providing data-driven solutions for complex computer science problems
• Experience in working on multiple data science projects with data exploration (acquisition, pre-processing, analysis, visualization) and end-to-end machine learning models development on diverse datasets.

• Software Development: Worked on Software Development / Android projects for the back-end developments, bug fixing, maintenance and improvement of applications performance.
• NLP: Experience in Training and fine-tuning Language Models and developing modern transformer-based architectures for various uses-cases of NLP.
• Data Analyics: Generated Analytical Insights from the data by extracting meaningful information from data to support decision-making using Python libraries and Data Visualisation Tools (PoweBI).
• Predictve Modelling: Hands-on experience in developing Machine Learning and Deep Learning models on diverse datasets and achieving State-Of-the-Art accuracy.
• Databse Management:Monitoring secure connection to a relational database, managing databases, retrieving data according to the query submitted by the user.
• Computer Vision: Comfortable with Digital Image Processing, Visualisation of Images, Image Classification and Object Detection using Deep Learning with Python