Data Science Projects in IndiaData Science Projects in India
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Cover image for I specialize in transforming complex
I specialize in transforming complex datasets into intuitive, visually compelling dashboards that drive strategic decision-making. With deep expertise in BI tools and data analytics, I design interactive, real-time reporting systems that help businesses uncover trends, monitor KPIs, and optimize performance. My approach combines data storytelling, clean UI/UX, and scalable architecture to deliver impactful insights. 🔹 My Project Portfolio: 📊 1. Executive Business Intelligence Dashboard Built a dynamic KPI dashboard for C-level executives Integrated multiple data sources (CRM, ERP, marketing platforms) Delivered real-time insights on revenue, growth, and performance Tools: Power BI, SQL, Azure 📈 2. E-commerce Analytics Dashboard Designed a dashboard tracking sales, customer behavior, and conversion rates Implemented cohort analysis and funnel visualization Improved marketing ROI tracking by 40% Tools: Tableau, Python, Google Analytics 📉 3. Financial Performance & Forecasting Dashboard Developed financial models and forecasting dashboards Visualized cash flow, P&L, and budget vs actuals Enabled data-driven financial planning Tools: Power BI, Excel, DAX 📍 4. Operations & Supply Chain Dashboard Created logistics tracking and inventory monitoring system Real-time alerts for stock levels and delays Reduced operational inefficiencies Tools: Looker Studio, BigQuery 📊 5. AI-Powered Analytics Dashboard Integrated machine learning predictions into dashboards Automated anomaly detection and trend analysis Delivered predictive insights for decision-making Tools: Python, TensorFlow, Streamlit
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Cover image for Designed and implemented a robust
Designed and implemented a robust webhook-based trading automation system that connects TradingView signals to real-time trade execution via the Tradovate API. The system is built using Python and handles signal reception, validation, and order execution in a seamless automated pipeline. The architecture ensures low-latency communication, secure data handling, and reliable execution of trades without manual intervention. It processes incoming webhook alerts, applies validation logic, and triggers precise API-based trade execution. Key features include: • Real-time webhook signal processing (TradingView alerts) • Python-based signal receiver and validation engine • Secure and reliable API integration (Tradovate) • Low-latency execution pipeline • Fully automated trade workflow (zero manual input) • Scalable design for multi-strategy integration This solution is ideal for traders and firms looking to automate their strategies using webhook-driven architecture, enabling faster execution, reduced human error, and consistent performance in live trading environments.
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