class Aditi:
def __init__(self):
self.role = "Data Analyst & Full Stack Developer"
self.education = "MCA (Data Science Specialization)"
self.focus = ["Data Analytics", "Business Intelligence", "Generative AI"]
self.currently_exploring = ["RAG Pipelines", "AWS for Analytics", "BigQuery Optimization"]
def philosophy(self):
return "Data becomes valuable only when it tells a story."
me = Aditi()- 🎓 MCA graduate specializing in Data Science, entering the analytics & Gen AI space with a portfolio of shipped, end-to-end projects
- 🧠 I turn messy datasets into dashboards, pipelines, and RAG-powered applications that answer real questions
- 🛠️ Comfortable across the full stack — from SQL/BigQuery data modeling to Power BI storytelling to LangChain-based AI apps
- 📫 Reach me at aditipaitandy2003@gmail.com
Languages & Querying
Analytics & BI
Gen AI / ML
Full Stack & Cloud
| 🔍 Extract | 🧹 Clean & Model | 📊 Visualize | 🤖 Apply AI |
|---|---|---|---|
| SQL, BigQuery, Python | Feature engineering, window functions, star schemas | Power BI, DAX, Looker Studio | RAG pipelines, LangChain, FAISS |
 RAG Pipeline
|
An AI application that answers questions from documents using Retrieval-Augmented Generation, vector search, and LLMs. Tech: Python · LangChain · FAISS · Sentence Transformers 
|
Cybersecurity Analytics
|
End-to-end project — synthetic data generation, MySQL star-schema database, 55 tiered SQL queries, Power BI DAX modeling, and an interactive Chart.js dashboard frontend. Tech: MySQL · SQL · Power BI · HTML/CSS/JS · Chart.js
|
 Risk Analytics
|
Feature engineering and window functions (NTILE, windowed SUM) on a loans dataset for risk segmentation, visualized in a Looker Studio dashboard — framed for banking/finance hiring contexts. Tech: Google BigQuery · SQL · Looker Studio
|
 Power BI Storytelling
|
A Power BI dashboard tracing an international cricket career — Python/Pandas extraction & cleaning, SQLite storage, DAX-driven dynamic measures, plus AI-generated insights. Tech: Python · Pandas · SQLite · Power BI · DAX
|
 Sports Analytics
|
Advanced SQL analysis on large-scale IPL datasets to uncover the factors driving championship-winning teams and player performance trends. Tech: SQL · Google BigQuery
|
Portfolio Site
|
A Next.js 16 portfolio built with TypeScript, Tailwind CSS, and Framer Motion, showcasing all analytics and Gen AI projects in one place. Tech: Next.js · TypeScript · Tailwind CSS · Framer Motion
|
Open to collaborations, internships, and full-time opportunities in Data Analytics, BI, and Gen AI.
"Data becomes valuable only when it tells a story."