ACADEMIC PROFILE / 01

Data Science & Artificial Intelligence

A strong foundation. Practical experience. More to explore.

I studied Data Science and Artificial Intelligence with a focus on understanding how data, statistics, machine learning, and large-scale systems can be used to solve real problems. Professional experience has since given me the opportunity to apply those foundations in production.

2023 → 2026
R.J. COLLEGE
MUMBAI UNIVERSITY
MUMBAI, INDIA
01 / ACADEMIC RECORD

The numbers behind the foundation.

9.11 / 10
OVERALL CGPA
2023 → 2026
DEGREE PERIOD
02 / EDUCATION

Data Science &
Artificial Intelligence

R.J. College · Mumbai University Mumbai, Maharashtra 2023 — 2026

My degree gave me a foundation across data science, artificial intelligence, statistics, machine learning, natural language processing, and big data.

03 / COURSEWORK

The subjects that shaped my foundation.

01
MACHINE LEARNING
02
NATURAL LANGUAGE PROCESSING
03
STATISTICS
04
BIG DATA
04 / SELECTED WORK

Applying the theory.

PROPERTY PRICE PREDICTION
Can spatial and neighborhood-derived features improve property price prediction?
R² 0.8882
MAE ≈ $23K
Python · XGBoost · CatBoost · Scikit-learn
Read the full project ↗
AI PROPERTY CONTENT GENERATION
How can structured property data be transformed into useful natural-language content?
Python · OpenAI · Gemini · Elasticsearch
Read the full project ↗
05 / RECOGNITION

A few milestones along the way.

01
STAR PERFORMER
Excellerate
02
$1,000 SCHOLARSHIP
Saint Louis University
03
DATA SCIENCE & AI CERTIFICATION
IDEMI · Govt of India
06 / FROM THEORY TO PRACTICE

Education taught me the fundamentals. Practice showed me what I still want to understand.

Working with real-world data introduced me to problems that are difficult to capture in a classroom alone. It also made me more interested in the theory, methods, and systems behind the solutions I build.

07 / NEXT CHAPTER

Going deeper into Data Science and AI.

I want graduate study to strengthen the theoretical foundations behind the systems I build, expose me to deeper methods, and give me the opportunity to explore machine learning, AI, and data systems beyond immediate production requirements.

08 / WHAT COMES NEXT

From applied work to deeper study.

My academic foundation and professional experience have given me two complementary perspectives: understanding the ideas behind data and AI, and seeing what it takes to apply them to real problems. I want to bring both perspectives into graduate study and develop a deeper understanding of the methods and systems I work with.

FOUNDATION
Data Science & AI degree
APPLICATION
Machine learning, AI, and large-scale data work
DEEPER STUDY
Graduate education in Data Science & AI
NEXT CHAPTER · GERMANY · 2027