Ph.D. Student · Data Science

Dheeraj
Kumar
Gehlot

Ph.D. researcher in data science, working at the intersection of statistical theory and machine learning.

IISER Pune · Advisor: Dr. Bedartha Goswami

Dheeraj Kumar Gehlot
What I study

Research Interests

Uncertainty Quantification

Building reliable confidence and prediction intervals for ML models, with a focus on distribution-free guarantees.

Conformal Prediction

Applying conformal prediction to calibrate models and generate statistically valid prediction sets without distributional assumptions.

ML for Weather Prediction

Developing reliable prediction intervals for extreme weather events using machine-learning methods.

Statistical & Mathematical Modeling

ODE/PDE systems, dynamical systems, and graph-theoretic approaches to modeling complex phenomena.

Career

Research & Professional Experience

Aug 2025 – Present
Research Scholar (Ph.D.)
Data Science, IISER Pune
  • Developing distribution-free uncertainty quantification methods using conformal prediction to calibrate ML weather prediction models.
  • Building confidence intervals for extreme weather events to produce reliable, statistically valid prediction sets.
  • Advised by Dr. Bedartha Goswami.
July 2024 – Dec 2025
Quality Analyst & Project Reviewer
Turing
  • Evaluated DPO, RAG, and multimodal datasets for factual consistency, mathematical correctness, and benchmark alignment (MMMU, CharXiv).
  • Coordinated a team of 7 reviewers to develop mathematical evaluation criteria and improve reasoning quality in LLM training datasets.
April 2024 – July 2024
Junior Research Fellow
IIT Jodhpur
Conducted mathematical research as part of a funded fellowship position.
July 2022 – Sept 2023
Associate Faculty
Physics Wallah Coaching Institute
  • Designed and delivered lectures on advanced JEE mathematics.
  • Mentored students through problem-solving sessions and individualized doubt resolution.
Work

Projects

April 2026

Demographic Data Dashboard for India

Interactive demographic dashboard built with Pandas, NumPy, and Streamlit — enabling exploratory analysis of demographic indicators through dynamic visualizations.

April 2022

Dynamical Analysis on Prey-Predator & Epidemiological Models

Developed and analyzed nonlinear ODE models using phase plane analysis, Jacobian linearization, eigenvalue analysis, and numerical simulations to investigate stability and asymptotic behavior.

January 2022

Implicit Social Networks as Bipartite Graphs

Constructed bipartite social networks and performed graph-theoretic analyses using bipartite projections, degree centrality, and connected component analysis to infer implicit social structures.

Tools & methods

Technical Skills

Languages & Libraries

Python Pandas NumPy PyTorch TensorFlow Scikit-Learn Matplotlib Streamlit LaTeX

Methods & Domains

Conformal Prediction Uncertainty Quantification Machine Learning Deep Learning Statistical Modeling Generative Models Dynamical Systems
Recognition

Awards, Scholarships & Qualifications

IndiaAI Fellowship
2025
CSIR NET-JRF (Mathematics)
All India Rank 30
July 2024
GATE — Mathematics & Data Science
Mathematics AIR 167 · Data Science AIR 1213
Feb 2024
CSIR-NET (Lectureship)
All India Rank 75
Dec 2023
IIT-JAM (Mathematics)
Feb 2020
Say hello

Get in touch

Open to research collaborations, academic discussions, and opportunities in data science and ML.