Ashutosh is currently pursuing a Master of Science in Quantitative Data Science Methods at the Eberhard Karls University of Tübingen. He is an engineer at heart, now focused on researching Quantitative Methods with applications in Machine Learning Foundations and Financial Economics.

Previously, Ashutosh spent three years as a Software Engineer at HSBC (Global Cloud Economics), where he focused on data engineering and forecasting models. He has also conducted research at the Max Planck Institute for Intelligent Systems and interned at the financial stability department of the Deutsche Bundesbank. He also participated in an Erasmus Exchange semester at Katholieke Universiteit Leuven in Belgium.

Technical Capabilities
Languages & Tools Python R SQL MATLAB Git Linux Docker GCP AWS Domain Expertise Financial Economics Probabilistic ML Time Series Analysis Econometrics Bayesian Modelling Causal ML Deep Learning
My Professional & Academic Journey
Education
Master Thesis: Optimal Transport in Linear ICA
Max Planck Institute for Intelligent Systems and University of Tuebingen
Present
Researching the application of Optimal Transport theory to linear Independent Component Analysis (ICA).
Supervisors: Dr. Simon Buchholz, Prof. Dr. Michel Besserve, Prof. Dr. Joachim Grammig
Experience
Intern Quantitative Analyst (Financial Stability)
Deutsche Bundesbank, Frankfurt
July 2025 – Sept 2025
  • Applied machine learning and time series forecasting to analyze investment fund portfolios.
  • Focused on financial stability insights for non-bank financial intermediaries.
Education
Erasmus Exchange (Financial Economics & ML)
KU Leuven, Belgium
Feb 2025 – June 2025
Focused on Financial Economics, Causal Machine Learning and Financial Engineering.
Experience
Student Research Assistant (Optics & Sensing)
Max Planck Institute for Intelligent Systems
July 2024 – June 2025
Developed computer vision algorithms (emotion/head orientation) for NICE Software.
Award
Winner - Best Pitch & Co-creation Prize
Neckarthon (Startup Center Tübingen)
November 2024
Won dual prizes for "Tue-bi-smart," an ML-enabled transport prototype developed for Stadtwerke Tübingen.
Education
M.Sc. Quantitative Data Science Methods
Eberhard Karls Universität Tübingen
Started Oct 2023
Specializing in Econometrics, Machine Learning, and Financial Economics.
Experience
Software Engineer (Cloud Economics)
HSBC Holdings PLC, Pune
Sept 2020 – Sept 2023
  • Built real-time ETL pipelines (improving latency by 4x) and designed FinOps frameworks.
  • Developed statistical models driving $500K in cloud cost savings.
Certifications
Professional Certifications (2022)
2022
Award
Star Performer Award
HSBC Technology
Q2 2021
Awarded for high performance in cloud billing automation.
View Award
Certifications
Professional Certifications (2021)
2021
Experience
Software Engineering Intern
Nvidia Corporation, Bengaluru
Aug 2019 – Dec 2019
Built a customer-facing Python tool with real-time Plotly visualizations to analyze SoC CPU usage.
Experience
Internship: Industrial Process Optimization
iCreate, Ahmedabad
May 2018 – July 2018
Analyzed manufacturing plants to identify automation opportunities and submitted a process optimization report.
Education
B.E. Electrical and Electronics Engineering
BITS Pilani, Goa Campus
2016 – 2020
Achievement: Awarded the Prime Minister's Scholarship Scheme (2017) for academic excellence.