Siddharth Madhavan

Computer Science student at NIT Calicut and Data Science student at IIT Madras (Online). Interested in artificial intelligence, algorithms, computational systems, and applied data science.

CSE @ NIT Calicut Data Science @ IIT Madras

Currently Working On

Projects

InboxZero AI Awaiting Results

Chrome extension for intelligent email management and inbox organization, focused on automated categorization and workflow assistance for high-volume inboxes.

AZ Chrome Extension Hackathon

Repository
GeneScope Awaiting Results

Computational tool for exploring biological data and extracting insights from gene-related datasets, built to examine the overlap between biology and data analysis.

ChangeMaker Hackathon

Repository
The Grid X 4th Place

Experimental framework for distributed execution across remote nodes through a modular grid-based architecture.

Code INIT · NIT Calicut Hackathon

Repository
MediTrack AI Shortlisted

AI-assisted healthcare tracking concept focused on organizing and monitoring patient data, developed during Convolve 4.0 and shortlisted for the second round.

Repository

Recent Achievements

4th Place Code INIT Hackathon · NIT Calicut
1st Place nitcCTF

Education

B.Tech Computer Science and Engineering

National Institute of Technology Calicut

Started August 2025 · Current CGPA: 8.5

B.S. Data Science and Applications

Indian Institute of Technology Madras (Online)

Started May 2025 · Current CGPA: 8.3

Coursework

NIT Calicut

Official Curriculum: NIT Calicut Course Structure

Completed

  • Mathematics I (MA1002E) — Multivariable Calculus, Vector Fields
  • Introduction to Computing Science (CS1002E) — Algorithms, Flowcharts, Basic Logic Gates
  • Discrete Structures I (CS1003E) — Sets and Relations, Induction and Recurrence, Graph Theory
  • Programming Laboratory (CS1091E) — C Programming, Pointers, Arrays

Current

  • Mathematics II (MA1012E) — Sequences, Series, Linear ODEs, Core Linear Algebra
  • Discrete Structures II (CS1013E) — Logic, Number Theory, Probability Theory
  • Logic Design (CS1012E) — Number Systems, Gates, Fundamentals of Simple Digital Systems
  • Program Design (CS1011E) — Design and Analysis of Searching and Sorting Algorithms, Basic Data Structures
  • Program Design Laboratory (CS1092E) — Implementation of Data Structures and Algorithms in C
  • Physics of Materials (PH1001E) — Quantum Mechanics, Band Formation, Electrical Properties, Semiconductors

IIT Madras

Official Curriculum: IIT Madras BS Degree Academics

Completed

  • Statistics for Data Science I (BSMA1002) — Statistical Methods, Probability Theory Course
  • Mathematics for Data Science I (BSMA1001) — Sets, Calculus, Graph Theory Course
  • Mathematics for Data Science II (BSMA1003) — Linear Algebra, Multivariable Calculus Course
  • Computational Thinking (BSCS1001) — Algorithms, Graph Theory Course

Current

  • Statistics for Data Science II (BSMA1004) — Multiple Random Variables, Estimation, Hypothesis Testing Course
  • Programming in Python (BSCS1002) — Algorithms, Iteration, File Handling, Pandas, NumPy Course

Contact

Open to collaborations, projects, and hackathons.

GitHub LinkedIn

Email: siddharth.madhavan2007@gmail.com

Phone: +91 89256 00688