Presentation
CORE EXPERTISE:
MACHINE LEARNING & AI: End-to-end model development using Scikit-learn, Pandas, and NumPy.
STATISTICAL ANALYSIS: Expertise in probability, linear algebra, and validation metrics like KS Statistic and Population Stability Index (PSI).
EXPLORATORY DATA ANALYSIS (EDA): Transforming raw datasets into actionable business insights.
TECHNICAL CAPABILITIES:
WEB SCRAPING: Custom Python scripts (BeautifulSoup/Scrapy) to harvest data from any public source.
DATABASE MANAGEMENT: Designing structured PostgreSQL schemas and managing data pipelines with SQLAlchemy.
AUTOMATION: Streamlining repetitive tasks using Python to improve workflow efficiency.
WHY CHOOSE ME?
I do not just deliver code; I deliver accuracy. Whether you need a sophisticated ML model or a robust data scraper, I ensure the output is clean, mathematically sound, and ready for production.
Background
Relevant Coursework & Skills:
Advanced Mathematics: Linear Algebra, Probability, and Statistical Inference (GATE DA focused).
Machine Learning: Implementation of supervised and unsupervised models using Python.
Database Management: Expertise in PostgreSQL and SQLAlchemy for scalable data architectures.
Project Work: Developed multi-tenant systems and automated data extraction pipelines.
Through this degree, I have built a strong foundation in the mathematical rigor required for high-level Data Science and ML engineering.

