Side Project2024

EarningsDashboard

Real-time earnings analytics & visualization

PythonStreamlitAI/LLM

Overview

An analytics dashboard for real-time earnings analysis and visualization. Brings financial data to life with interactive charts and AI-powered insights.

Key Metrics

Analytics
Type
Real-Time
Data
AI-Powered
Insight

Case Study

The Problem

Analyzing quarterly earnings across multiple companies requires pulling from scattered sources, doing mental math on comparisons, and rebuilding charts every reporting cycle. There was no fast, consistent way to go from press release to insight.

The Approach

1

Built a Streamlit dashboard that ingests earnings data and standardizes metrics across companies and quarters automatically

2

Added an AI analysis layer that interprets results in plain English — revenue beats/misses, margin trends, guidance tone

3

Implemented interactive charts for drill-down into revenue, EPS, guidance, and analyst estimate comparisons

4

Designed for speed: from earnings release to full analysis in minutes, not hours

The Impact

Earnings analysis time reduced from hours of manual work to minutes of automated processing

AI layer consistently surfaces insights that manual analysis would overlook — especially across multi-company comparisons

Reusable framework that can be adapted across industries and company sets with minimal configuration