Historical archive
This page preserves selected work from 2014 to 2020 as historical context. These projects helped shape my approach to computation, data, and research, but they do not describe my current professional work.
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Academic project · Quantitative methods
We explored portfolio construction using S&P 500 data from 2013 to 2018, with an emphasis on the relationship between expected return and risk. Historical performance was used as an illustrative input rather than a guarantee of future results. The linked image shows the simulated risk-return profile, and the framework can be extended to additional asset classes.
Academic project · Statistical inference
This was my first project in bioinformatics. We investigated how information can be extracted from biopolymer sequence data using the expectation-maximization algorithm. Our implementation was informed by research published in the 1990s; the image is a sequence logo generated from an example probability weight matrix.
Historical internship · Software and data systems
My internship projects spanned embedded software, automated testing, data analysis, and business modeling for micromobility systems. I wrote C++ for embedded Linux and IoT devices, used Python to automate testing on physical vehicles, and applied Python and SQL to study GPS service performance and maintenance operations.
Research project · Design and manufacturing
We developed a lightweight heat exchanger using polymers and metals, along with a roll-to-roll manufacturing process for forming helical structures from materials thinner than 200 µm. The design targeted low-temperature flue gas conditions near 150°C. Related work also examined anti-fouling coatings and physics-based machine-learning methods for maintenance.
Research internship · High-performance computing
I used high-performance computing simulations to generate fractal particle clusters and study how their aggregation behavior changed as physical parameters varied.
Undergraduate thesis · Computational chemistry
I used NASA CEA and Gaussian 09 to simulate chemical reactions and estimate thermal properties for candidate rocket propellants. The simulations were grounded in ab initio quantum chemistry methods.
Undergraduate project · Scientific computing
We wrote a C++ implementation of particle image velocimetry, a non-invasive flow-measurement technique used in research and industry. The linked results show velocity fields produced by our program.
Student satellite · Structural analysis
Pratham was a student-developed CubeSat built with mentorship from ISRO and launched into low Earth orbit on September 26, 2016. My role was limited and specific: I used ANSYS to help verify the satellite's structural integrity.
