Interactive Power BI dashboard analyzing Indian startup funding trends — explore top investors, funding types, industry insights, and city-wise distributions.

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

Interactive Power BI dashboard analyzing Indian startup funding trends — explore top investors, funding types, industry insights, and city-wise distributions.

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

Bright Data API を使用して市場分析とリサーチのための企業インサイトを探索します。

A data mining project that analyzes startup traction data and applies various machine learning models (Logistic Regression, Decision Trees, Random Forest, XGBoost) to predict whether a startup will succeed or fail based on engagement, web presence, and social media activity.

Bright Data API를 사용하여 시장 분석 및 리서치를 위한 기업 인사이트를 탐색합니다.

Desktop research tool that scans App Store and GitHub projects, ranks them using multiple signals, and generates structured research outputs.

“3rd Semester Design Thinking Case Study on Mahina, a sustainable menstrual startup.”

Explore company insights using Bright Data API for market analysis and research.

🚀 Landing page que genera análisis ejecutivos tipo one-pager de startups tecnológicas a partir de su URL.

🚀 Predict startup success using machine learning by analyzing real-world data and key indicators for informed decision-making.