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anilkrp/README.md

Hi, I'm Anil Kumar Raigar 👋

Data Analyst with 6+ years' experience and a distinction-level MSc in Advanced Data Science (Bangor University, UK). I turn messy, real-world data into decisions — cleaning and validating data, building KPI dashboards, and communicating insights to non-technical teams. I also bring machine-learning skills (forecasting, predictive modelling) when a problem needs more than a chart.

Based in the UK 🇬🇧 | Open to Data Analyst & Data Science roles

What I do

  • Analysis: trend analysis, KPI development, root-cause analysis, A/B testing
  • SQL & data: SQL, Google BigQuery, data cleaning, ETL pipelines
  • Visualisation & BI: Power BI, Looker Studio, advanced Excel (PivotTables, macros)
  • Python & ML: pandas, NumPy, scikit-learn, Matplotlib/Seaborn, forecasting models

Featured work

  • E-Commerce Sales Forecasting — compared 4 models (Linear, Random Forest, XGBoost, LightGBM) to forecast 5 years of sales data
  • MSc Dissertation — deep neural networks for EDFA gain modelling on real experimental data

Connect

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  1. India-AQI-Analysis-Dashboard India-AQI-Analysis-Dashboard Public

    A compact data pipeline and analytics toolkit for cleaning, processing, and visualizing air quality across India—includes exploded pollutant data, 40+ SQL analyses, and a Power BI dashboard for hot…

    Python

  2. Integrated-Business-Performance-Dashboard Integrated-Business-Performance-Dashboard Public

    This project demonstrates a complete end‑to‑end data analysis workflow—from raw CSV files to an interactive Power BI dashboard. It combines sales, customer, product, employee, and returns data to p…

    Jupyter Notebook

  3. End-to-End-E-commerce-Sales-Analytics-Pipeline End-to-End-E-commerce-Sales-Analytics-Pipeline Public

    A full-stack data project featuring Python ETL, SQL deep-dives, and an interactive Power BI dashboard to optimize retail profitability.

    Python

  4. loan-default-prediction loan-default-prediction Public

    A machine learning model that predicts loan defaults with 85% accuracy, helping financial institutions mitigate risk and reduce losses using borrower data and a Random Forest classifier.

    Jupyter Notebook

  5. E-Commerce-Sales-Forecasting E-Commerce-Sales-Forecasting Public

    Hi! I’m Anil. This is my sales forecast project in one notebook! Made 5 yrs of data, predicted with 4 models: Linear (3.80), XGBoost (3.83), Random Forest (3.79—best), LightGBM (3.83). Charts and C…

    Jupyter Notebook 1

  6. EDFA_Gain_Modelling_Dissertation EDFA_Gain_Modelling_Dissertation Public

    This repository includes materials for the dissertation "EDFA Gain Modeling using Deep Neural Networks (DNNs)." It features the dissertation report, Python code for model development, a summary pos…

    Jupyter Notebook