Artificial Intelligence Analyst · Prompt Engineer
LLM evaluation, response quality analysis, role-specific behavior testing, and multimodal AI workflows.
Kauntey Acharya
Research Analyst · Data Analyst · Quant Analyst
[ Open to New Corporate Opportunities & Research Collaborations ]
From Theoretical Physics Research to AI & Industry Research
𖤣 Ahmedabad, India
About Me
I am a data and research analyst with a background in theoretical physics. I work on extracting actionable insights from complex datasets using rigorous, reproducible, and interpretable methods. I am eager to use my quantitative skills for analyst roles.
I like to read research papers and play chess. I could also be found chilling watching Big Bang Theory or Sci-Fi shows. Apart from physics and tech, I am interested in neuroscience, cognitive science, and evolutionary biology.
If you are interested in research collaboration, you can reach out via mail or LinkedIn.
Skills
Python
NumPy
Pandas
C++ (Basic)
Statistical Analysis
Time Series Modeling
Bayesian Inference
Machine Learning
MATLAB · Mathematica
Research Writing
Scientific Research
LaTeX
Experience
Research Articles Reviewer and Tech Writer
Research-driven technical scripts, academic content review, SEO-aware writing, reviewing latest research, and prompt engineering.
Pre-Doctoral Research Fellow
Theoretical and numerical research on electromagnetic fields and particle dynamics in curved spacetime.
Projects
Banking & Financial Stock Analysis
Quantitative analysis of banking stocks including returns, volatility, correlations, and risk metrics.
→ GitHub Project LinkGravitational-Wave Tests of GR (PPE Formalism)
Bayesian inference pipelines for testing deviations from General Relativity using gravitational wave observations.
→ GitHub Project LinkCredit Score Data Analysis
EDA of credit datasets focusing on default risk, class imbalance, correlations, and interpretability.
→ GitHub Project LinkIndian Startup Investment EDA
Exploratory analysis of Indian startup funding trends, sectors, and investor activity.
→ GitHub Project Link