Maitreya Sameer Ganu

4

Research
Internships

6

Selected
Projects

6

Skill
Certifications

4

Technical
Write-ups

Maitreya Sameer Ganu

Researcher | Statistical Data Science | Mathematics

Hello! I'm Maitreya, a Data Science enthusiast with an insatiable curiosity for uncovering stories hidden within data. Currently pursuing a BS-MS Dual Degree in Data Science at IISER Thiruvananthapuram, I tackle challenging real-world problems by applying rigorous statistical inference, algorithmic innovation, and mathematical foundations.

Statistical Inference
Machine Learning
Bayesian Methods
Network Analysis
Python
Cryptography

Research Domains

Domain Breakdown
Stats ML Math CS Bio

Technical Expertise

Statistics
30%
ML & AI
20%
Mathematics
18%
CS/Systems
14%
Bioinformatics
10%

Selected Projects

Data Warehousing Data Mining Business Intelligence Network Analysis Benford's Law

Optimizing Institutional Food Systems via Transactional Data

Full DWBI pipeline analyzing ~1.8K transactions: temporal analysis, Benford's Law validation, vendor dependency networks, association rule mining to uncover procurement inefficiencies.
Bayesian scRNA-seq Clustering

Hierarchical Bayesian Poisson Mixture Models

PMM clustering for single-cell data with rigorous statistical modeling and empirical validation. Developed during Summer Internship.
Network Science Modularity

Community Detection in Networks

Studied community detection using modularity optimization and applied methods to biological and infrastructure networks with statistical analysis of results.
Network Analysis Bioinformatics

Application of Modularity Analysis

Applied modularity-based analysis to protein interaction networks, neural networks of C. elegans, and road systems with comprehensive statistical validation.
Experimental Design Statistics

Design of Experiments (DOE)

Explored classical and modern Design of Experiments techniques for statistical inference and optimal experimental planning with practical case studies.
Machine Learning Time Series

Stock Price Prediction

Implemented predictive models for stock price movements using machine learning techniques on financial time-series data with statistical performance metrics.

Experience

Student Placement Coordinator

IISER Thiruvananthapuram
2025 — 2026
Industry Placement

Proactively reaching out to startups and established companies to facilitate campus placement opportunities and career development for students, bridging the gap between industry and academia.

Member of Student Affairs Council

IISER Thiruvananthapuram
2025 — 2026
Council Administration

Representing student interests and coordinating with the administration to improve campus life, resolve grievances, and foster a vibrant student community.

Spokesperson & Decision Making Committee Member, Music Club

IISER Thiruvananthapuram
2025 — 2026
Tabla Music Leadership

Serving as the primary spokesperson for the Music Club. Actively involved in the decision-making committee for organizing events, managing resources, and representing the club in official capacities.

Finance Coordinator, Club of Mathematics

IISER Thiruvananthapuram
2023 — 2024
Mathematics

Managed merchandise financing and provided key administrative support during the prestigious Frontier Symposium in Mathematics, 2023, ensuring smooth financial operations and successful event execution.

Internships & Research

Hierarchical Bayesian Poisson Mixture Models

IISER Pune | Under Dr. Leelavati Narlikar (Deputy Chair, School of Data Science)
Summer 2025
Bayesian Bioinformatics Clustering

Clustering models for scRNA-seq and scATAC-seq data (from Seurat) using Hierarchical Bayesian Poisson Mixture Models with rigorous statistical validation. Compared tthe he overall results using ARI metric and benchmarked the performance with many scikit-learn algorithms and even implemented MCMC techniques (Gibb's sampling). Biomarkers identification for each cell type along with statistical inference was implemented as well.

Certificate

Cryptography Internship

IISER Pune | Under Prof. Soumen Maity (HOD, School of Mathematics)
Summer 2024
Cryptography Security

Completed an intensive reading project focusing on public key cryptography. Delved into advanced cryptographic techniques, security models, and their practical implications.

Certificate

Community Detection & Network Analysis

IISER Thiruvananthapuram | Under Prof. Saptarshi Bej
Winter 2024
Network Science Modularity

Executed a winter research project on community and network detection using modularity optimization on diverse graph structures. Applied techniques to real-world datasets including neural, protein, and road networks.

Certificate

Design and Analysis of Experiments

IISER Thiruvananthapuram | Under Dr. Priyanka Majumder (HOD, School of Data Science)
Academic Term
Clinical Trials Experimental Design

Completed a reading project focused on the application of mathematical statistics in clinical randomized trials (CRTs) and in Longitudinal Experimental Studies; studied RCBD, Latin Square designs, and factorial experiments.

Education

BS-MS (Dual Degree), Data Science Major

IISER Thiruvananthapuram
Sept 2023 — Present

Currently pursuing an integrated Master's program focusing on Data Science, building a strong foundation in statistical modeling, machine learning algorithms, and computational techniques.

FYBSc Statistics

Fergusson College, Pune
July 2023 — August 2023

Briefly attended, gaining initial exposure to university-level statistics before transitioning to the integrated BS-MS program at IISER.

High School Graduate (Science Stream)

Sir Parshurambhau College, Pune
September 2021 — May 2023

Completed higher secondary education with a focus on Physics, Chemistry, Mathematics, and Electronics. Secured 92.5% (class XII) in the Maharashtra State Board Examination , 2nd rank in science stream in college and 5th overall in college.

Matriculation

Sevasadan English Medium School, Pune
2008 — 2021

Completed matriculation and scored 95% in class X CBSE Board Examinantion.

Certifications

Data Analysis with Python

Issued by Finlatics

Developed skills in Python-based data analysis, statistical modeling, and visualization, with a letter of recommendation from the instructor.

Intro to Machine Learning

Issued by Kaggle

Gained foundational knowledge of machine learning concepts and model building.

Time Series Data Analysis

Issued by Kaggle

Explored techniques for analyzing and forecasting time-dependent data.

Intro to Deep Learning

Issued by Kaggle

Acquired basic knowledge of neural networks and deep learning principles using TensorFlow.

AI Ethics

Issued by Kaggle

Explored crucial tools and frameworks for the ethical design and deployment of AI systems.

Pandas & Data Visualization

Issued by Kaggle

Mastered data manipulation and learned to create insightful and effective data visualizations.

Technical Write-ups

Technical write-ups on topics that I believe I understand well enough to explain clearly from first principles. Feel free to download them and do check them out!

An Interesting Property of 6

Mathematics

Proved that 6 is the only number where the sum of its factors equals the product of its factors (excluding the number itself).

Operating Systems

Computer Science

Conceptual explanations of operating system fundamentals, focusing on internal mechanisms and system-level reasoning.

Computer Architecture & Datapath

Systems Design

A structured explanation bridging the gap between hardware design and instruction-level execution.

P vs NP

Theoretical CS

A detailed overview of the P vs NP problem, explained in simple terms, highlighting its real-world implications.

Let's Connect!