EDUCATION
Indian Institute of Technology Madras
Delhi Public School
ACADEMIC EXPERIENCE
DATA SCIENCE & ANALYTICS
- Statistical Analysis & Probability: Studied statistical concepts, probability distributions, descriptive statistics, and quantitative techniques to understand data characteristics and interpret analytical results.
- Data Interpretation & Visualization: Developed an understanding of data representation, graphical analysis, and the interpretation of datasets to identify patterns, trends, and meaningful insights.
- Mathematical Foundations: Explored mathematical concepts relevant to Data Science, including quantitative reasoning and analytical methods used in data-driven problem-solving.
- Programming Fundamentals: Studied computational thinking, programming logic, and foundational approaches to solving analytical problems through structured methods.
- Business Analytics: Explored the role of data analysis in business and management, including performance evaluation, informed decision-making, and evidence-based business insights.
- Analytical Problem-Solving: Developed a structured approach to breaking down complex problems, interpreting information, evaluating possible solutions, and drawing logical conclusions from available data.
CERTIFICATIONS
TECHNICAL SKILLS
Frontend Development
HTML, CSS, JavaScript
Backend Development
Node.js, APIs, Authentication
Data Science & ML
Python, NumPy, Scikit-learn, Matplotlib
Database Management
Firebase
Cloud & Deployment
Vercel, Netlify, Railway
Tools & Technologies
Git, GitHub, VS Code
Python & Data Analysis
Python · NumPy · Pandas · Matplotlib · Data Cleaning · Exploratory Data Analysis (EDA)
PROJECTS
Management Hub
- Key Skills: Frontend Development, UI/UX Design, Content Management, Web Deployment