Sneha Ail
AI · Data Science · Product Strategy
Understanding human decisions → building practical AI products
I'm interested in understanding how people think and make decisions, and using that to build better, more practical products. With a background in data science, I work at the intersection of data, AI, and product — turning ideas into tools that people can actually use. I've worked on building an internal data platform during my internship, exploring both technical implementation and product-side decision making. Currently, I'm focused on projects that combine simple AI concepts with real-world usability.
Tech Stack
Python
Pandas
PostgreSQL
MySQL
AWS
React
Git
Docker
Power BI
Tableau
Postman
VS Code
NumPy
Matplotlib
Scikit-learn
NLTK
Featured Projects
Data Cleaning in SQL
Cleaned raw layoff dataset using SQL: removing duplicates, standardizing values, handling nulls.
SQLMySQL
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Credit Score Prediction
Predicts credit score based on financial data using machine learning models.
PythonScikit-learnPandas
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EDA in SQL
Comprehensive SQL-based EDA on tech layoffs using CTEs and window functions.
SQLMySQL
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Supply Chain Forecasting
Forecasts retail product demand using ML and visualizes results in Power BI.
PythonPower BIStatsmodels
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Financial Fraud Detection
ML system identifying fraudulent transactions using pattern recognition and anomaly detection.
PythonScikit-learnPandas
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Data Professional Survey
Power BI dashboard analyzing global data professional trends, salary, tools, satisfaction.
Power BIDAX
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Bike Sales Analysis
Excel analysis with pivot tables, charts, and interactive dashboards.
ExcelPivot Tables
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Shopping Trends Analysis
Analyzed customer purchasing behaviors and demographics using Python.
PythonPandasMatplotlib
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Airbnb Tableau Dashboard
Tableau dashboard analyzing Airbnb listings, pricing, availability trends.
TableauData Visualization
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