{
PSA
}
data · analytics · insights
Prakash Sai Alla
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Home
About
Projects
Resume
Contact
My Projects
Datan driven solutions across Analytics, Machine Learning and Business Intelligence
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Data Analytics
Machine Learning
Dashboard & BI
Tools & Apps
Featured
Built an XGBoost model (R²=0.84) to predict annual premiums using 10+ demographic and medical risk factors - comparable to actuarial benchmarks.
Health Insurance Premium Prediction
Python
XGBoost
Scikit-learn
SQL
Pandas
Featured
Forecasted Airbnb booking demand across 50,000+ listings using Random Forest with engineered seasonal features - 90% accuracy.
Airbnb Demand & Availability Forecasting
Python
Pandas
Random Forest
Time-Series
Featured
Weighted KPI scoring model across 10+ socioeconomic indicators to rank all 50 U.S. states - top 5 scored 30%+ above national median.
Optimal Places to Live in USA
Excel
KPI Modeling
Pivot Tables
VLOOKUP
Designed and developed a fully immersive RCB themed portfolio combining personal branding, interactive storytelling, analytics presentation and modern frontend development.
RCB Themed Personal Portfolio
HTML
CSS
JavaScript
Branding
UI/UX
Built supervised machine learning models to predict customer term deposit subscriptions using predictive analytics, EDA and classification modeling techniques.
Bank Marketing Campaign Classification
Python
Machine Learning
Scikit-learn
Predictive Analytics
Developed an interactive Power BI dashboard analyzing the relationship between inflation and food pantry demand using Amherst Survival Center and Boston CPI data, uncovering trends in food insecurity and community reliance on assistance programs.
Inflation & Pantry Demand Analysis
Power BI
Power Query
DAX
Data Visualization
Business Analytics
Developed an AI-powered career coaching platform using Azure OpenAI and AI agents to deliver resume analysis, skill gap assessment, interview preparation, and personalized career guidance.
CareerPilot AI
Azure OpenAI
Azure AI Foundry
Python
Streamlit
Applied AI models and time-series forecasting to analyze cryptocurrency market volatility, trends and price elasticity.
Crypto Currency Price Analysis with AI
Python
LSTM
Time-Series
Matplotlib
Semi-supervised ML model for real-time anomaly detection achieving 94.8% accuracy - published research.
Semi-Supervised ML for DDoS Detection
Python
Semi-Supervised
Scikit-learn
Published
Built a full analytics dashboard on Tinder & Bumble data swipe rates, match ratios, response time trends. Data was conclusive: the algorithm needs improvement.
Tinder & Bumble Analytics Dashboard
Python
Pandas
Power BI
EDA
Dashboard
Regression model to predict house prices using feature engineering and advanced preprocessing techniques.
House Price Prediction
Python
Regression
Pandas
Feature Engineering
Classification model predicting wine quality from chemical composition - multi-class accuracy benchmarked across 3 algorithms.
Wine Quality Prediction
Python
Classification
Random Forest
EDA
Deep learning model to classify plant diseases from images using the PlantVillage dataset with high accuracy.
PlantVillage Disease Classification
Python
CNN
TensorFlow
Image Classification
Supervised ML classification of iris flower species using sepal and petal measurements - end-to-end pipeline with EDA.
Iris Flower Classification
Python
KNN
SVM
Scikit-learn
NLP-powered resume parser that extracts skills, experience and education information automatically from unstructured text.
Resume Parser
Python
NLP
spaCy
Regex