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NakulSachdeva/README.md

Hi, I'm Nakul Sachdeva 👋

Data Analyst → Data Scientist | SQL · Power BI · Python · ML (learning)

I build end-to-end data solutions — from messy raw data to executive dashboards and revenue diagnostics. Currently transitioning from BI analytics into machine learning and AI.

🔧 What I work with

Analytics & BISQLPower BIDAXAdvanced ExcelPower QueryTableau

Data EngineeringETL PipelinesStar SchemaData ModelingData Validation

PythonPandasNumPyLLM APIsPrompt Engineering

Currently learningscikit-learnMachine Learningfast.aiDeep Learning

📌 Featured Projects

Sales Revenue Intelligence Dashboard

End-to-end ETL pipeline analyzing a $13.44M sales funnel across 1,184 leads. Built in Excel + Power Query with executive dashboard, conversion analysis, and regional market penetration. ExcelPower QueryETLBI Dashboard

E-commerce Revenue & Margin Analytics

Advanced SQL framework diagnosing a 43% revenue decline — isolated inventory stock-outs, detected 15% margin leakage from promo stacking, and justified a 20% budget reallocation to DTC. SQLCTEsWindow FunctionsUnit EconomicsCM3

LLM Transcript Summarization

Python tool comparing prompt engineering strategies (direct, bullet, role-based, optimized) for meeting transcript summarization. Measures compression ratios across strategies. PythonLLMsPrompt EngineeringOpenAI API

📈 Currently

  • 🌱 Learning ML: fast.ai → scikit-learn → deep learning
  • 🎯 Open to Data Analyst and Data Scientist roles
  • 📍 Chandigarh, India · Open to relocation & remote

📬 Let's connect

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  1. Sales-Revenue-Intelligence-DashboardSales-Revenue-Intelligence-DashboardPublic

    Interactive BI Dashboard & ETL Pipeline analyzing a $13.44M sales funnel. Features: DataCleaning, Pivot Modeling, and Executive Reporting. Tools: Excel, Power Query, BI Visualization.

    1

  2. revenue-performance-analyticsrevenue-performance-analyticsPublic

    A dedicated repository for advanced SQL-driven commercial analysis. Focusing on revenue diagnostics, margin recovery, and unit economics across multi-channel e-commerce datasets.

    SQL 1

  3. transcript-summarization-prompt-optimizationtranscript-summarization-prompt-optimizationPublic

    This project demonstrates how to summarize meeting transcripts using LLMs (Large Language Models) with different prompt engineering strategies. We compare approaches like direct summaries, bullet p…

    Python 1

  4. Automotive-Sales-Analytics-DashboardAutomotive-Sales-Analytics-DashboardPublic

    An advanced dashboard using Power BI & Advanced Excel, analyzing Kaggle’s automotive dataset. Features KPIs, dynamic visualizations for sales trends, interactive filters, and geographic mapping. En…

  5. Home-Surveillance-System-with-Facial-RecognitionHome-Surveillance-System-with-Facial-RecognitionPublic

    Python-driven Computer Vision project designed to act as a digital sentry for your home. By blending the efficiency of OpenCV with the reliability of Haar cascade classifiers, I transform a standar…

    Python 1