yash garg - Data Analyst | ContraWork by yash garg
yash garg

yash garg

data analyst

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Cover image for šŸ“Š Real-Time Stock Market Dashboard
šŸ“Š Real-Time Stock Market Dashboard | Power BI + API Integration I built a live stock market tracking dashboard in Power BI, pulling real-time price data via API for major tech stocks — AAPL, AMZN, GOOGL, MSFT, TSLA, META, NVDA, and more. What it includes: šŸ•Æļø Candlestick chart with open/close volume, daily diff %, and time-range filters (5D, 1M, 3M, 6M, 1Y, 5Y, Max) šŸ“ˆ Trend line view tracking closing price movement over time with peak/dip annotations šŸ”„ Heatmap matrix comparing daily % change across 15+ stocks at once — instantly spot which tickers were up or down on any given day šŸŽØ Custom dark-themed UI with brand logos for quick visual scanning The goal was to turn raw, constantly-updating market data into something a trader or analyst could scan in seconds — no digging through spreadsheets, just clean visuals that highlight what matters. Tools used: Power BI, API data import, DAX measures, custom visuals, dynamic date filtering. Open to building similar dashboards — finance, crypto, e-commerce, or business analytics. DM me if you need raw data turned into decisions. šŸ“©
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Cover image for This is an Inventory Analysis
This is an Inventory Analysis dashboard covering 1/1/2021 – 12/31/2021, likely built in a BI tool (Power BI/Tableau style). Here's the breakdown: Top-line KPIs (vs. last year): 104 active products (ā–²156.9% — big jump from 40) 0.94 avg inventory turnover (ā–¼31.5%) 126K units sold (ā–¼15.1%) $467.5K revenue (ā–¼22.0%) 42.5% profit margin (ā–¼20.4%) So despite nearly tripling the product count, sales volume, revenue, and margin all declined — a sign the assortment expanded but efficiency dropped. ABC Classification (Pareto/80-20 analysis by revenue contribution): A [High Value]: 18 products B [Medium Value]: 17 products C [Low Value]: 69 products — the majority of SKUs contribute the least revenue
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