C Haitanya Madduri

I am a highly skilled and accomplished professional with a strong background in data science and machine learning. My educational background is equally impressive, having earned a Master's in Applied Data Sciences (M.Sc.) from Frankfurt School of Finance & Management. My consistently high grades reflect my dedication to academic excellence.

Currently, I serve as a Student Research Assistant at Frankfurt School of Finance & Management's FS Research Lab. In this role, I demonstrated my proficiency in natural language processing (NLP) by developing a text classification model to classify covenant violations based on SEC filings. My work not only saved the team valuable time but also helped avoid paywalls, showcasing my ability to solve real-world problems.

Prior to my current position, I worked as a Data Scientist Working Student at Clearstream AG, where I automated the Geographical Distribution report using Databricks, resulting in significant time savings and increased revenue generation for the company. My contributions also extended to building a collateral concentration breach prediction model, providing valuable insights to the Risk team.

My passion for utilizing data science to address financial challenges was evident during my tenure as a Software Developer Working Student at Exaloan AG. Here, I collaborated with the lending platform to create machine learning models for identifying defaulters from a large pool of consumer and SME loans. My work proved instrumental in helping investors and the lending platform understand risky borrowers based on default probability and loan rating.

Notably, my experience extends beyond the financial sector, as I previously served as a Senior Data Scientist at Clean Harbors, where I excelled in developing and deploying machine learning models for classification. My expertise led to improved performance for minority classes while maintaining the majority classes' efficiency. Moreover, I used Azure form recognizer to extract waste profile details, significantly reducing manual efforts and maintaining high accuracy.

In addition to my technical prowess, I possess a wide array of programming skills, including Python, GitHub, SQL, and NOSQL, as well as expertise in machine learning libraries such as Numpy, Pandas, PyTorch, TensorFlow, and more. My deep understanding of various data science concepts, including NLP, supervised and unsupervised learning, and time series analysis, highlights my versatility.

Linguistically, I am proficient in English and Telugu, and I am a beginner in German, which indicates my adaptability to diverse environments. I also hold relevant certifications, including Introduction to Financial Accounting from Coursera and Microsoft Azure Data Scientist Associate (DP-100).

Outside of work, I am an active participant in extracurricular activities, organizing events and facilitating workshops for FS Data Science. I am also a member of FS Model United Nations and volunteer for FS Charity, demonstrating my commitment to community engagement.

Beyond my professional pursuits, I enjoy traveling, hiking, and archery (Kyudo), showcasing my adventurous spirit and well-rounded personality.