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 (2021 -- May 2023)

Completed higher secondary education with a focus on Physics, Chemistry, Mathematics, and Electronics. Secured 2nd rank in college.

Matriculation (SSC)

Sevasadan English Medium School, Pune (2008 -- March 2021)

Completed secondary education, laying the groundwork for analytical and scientific pursuits.

Finance Coordinator, Club of Mathematics

IISER Thiruvananthapuram (2023 -- 2024)

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

Music Club Representative & Finance Coordinator

IISER Thiruvananthapuram (2023 -- 2025)

Actively performed Tabla at various campus events and managed the Music Club's merchandise and financial activities, fostering cultural engagement and community participation.

Member, Placement and Career Promotion Cell

IISER Thiruvananthapuram (2025 -- Ongoing)

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.

Cryptography Internship

IISER Pune (Under Prof. Soumen Maity | HOD | School of Mathematics)

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

Community Detection & Network Analysis

IISER Thiruvananthapuram (Under Prof. Saptarshi Bej | Assistant Professor | School of Data Science)

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

Hierarchical Bayesian Poisson Mixture Models

IISER Pune (Under Dr. Leelavati Narlikar | Deputy Chair | School of Data Science )

Worked on clustering models for scRNA-seq and scATAC-seq data. Implemented and benchmarked Hierarchical Bayesian Poisson Mixture Models with rigorous statistical validation.

Design and Analysis of Experiments

IISER Thiruvananthapuram (Under Dr. Priyanka Majumder | HOD | School of Data Science)

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.

Kaggle: Python

Issued by Kaggle

Demonstrated proficiency in Python programming fundamentals for data science.

Kaggle: Introduction to Programming

Issued by Kaggle

Covered core programming concepts essential for data manipulation and analysis.

Kaggle: Pandas

Issued by Kaggle

Mastered data manipulation and analysis using the Pandas library in Python.

Kaggle: Data Visualization

Issued by Kaggle

Learned to create insightful and effective data visualizations using Python libraries.

Kaggle: Introduction to Machine Learning

Issued by Kaggle

Gained foundational knowledge of machine learning concepts and model building.

Kaggle: Time Series Data Analysis

Issued by Kaggle

Explored techniques for analyzing and forecasting time-dependent data.

Finlatics: 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.

Kaggle: Introduction to Deep Learning

Issued by Kaggle

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

Kaggle: AI Ethics

Issued by Kaggle

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

Hierarchical Bayesian Poisson Mixture Models

Summer Internship | Single-cell Data Analysis

Developed Hierarchical Bayesian Poisson Mixture Models for clustering scRNA-seq and scATAC-seq data with rigorous statistical modeling and empirical validation.

Community Detection in Networks

Winter Internship | Network Science

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

Application of Modularity Analysis

Interdisciplinary Research | Network Analysis

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

Design of Experiments (DOE)

Statistical Modeling | Experimental Design

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

Stock Price Prediction

Machine Learning | Time Series

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

Temperature Prediction

Deep Learning | Time Series Forecasting

Used deep learning models for forecasting maximum and minimum temperatures based on historical climate data with rigorous validation metrics.

Email

maitreyaganu@gmail.com

Social Links

LinkedIn: Maitreya Ganu
GitHub: MaitreyaGanu