Analyze employee performance and productivity using SQL and Python. Build HR dashboards to evaluate departmental KPIs, efficiency trends, and workload balance. Generates actionable insights through data visualization and KPI aggregation for business decision-making.

AI Report Factory automates data storytelling, transforming raw business data into analytical, narrative-driven reports. It ingests structured datasets, computes KPIs, generates visualizations, and produces Markdown & HTML reports with actionable insights for startups, analysts, and enterprises.

[Advanced] - [Python] - Build processing data pipeline using 100 % open sources. The idea for this project comes from one sentence "Turn Your Laptop Into A Personal Analytics Engine"

Coronavirus Dashboard

📊 Transform data into clear, automated reports that reveal insights, guide decisions, and enhance understanding for teams and enterprises.

Full-stack pipeline to detect U.S. housing market bubbles and forecast price trends. Merges 6+ macroeconomic datasets in Snowflake to compute risk scores and price predictions using walk-forward ML models. Deployed with Streamlit for interactive insights.

this project offers a simple dashboard to analyze server logs, identify top IP contributors, and detect peak traffic hours. It helps businesses monitor server health, detect anomalies, and optimize resource planning through quick, data-driven insights.

A systematic benchmark evaluating threading and multiprocessing strategies in the pydre analytics pipeline, with a focus on workload-dependent performance and practical default execution strategies.

Clickstream Analytics Pipeline using Apache Spark and Hadoop to process 1.5M+ events with 70% batch efficiency improvement.

A sophisticated cross-browser extension for bulk Google Classroom downloads, backed by a high-performance distributed analytics pipeline using Cloudflare Durable Objects, Go, and SQLite.

Information Visualisation mini-project: Python-preprocessed Formula 1 dataset (1950–2017) and a Vega-Lite dashboard designed to surface non-obvious patterns beyond standard standings.

This repository contains a sanitized, end-to-end R pipeline for transforming raw telemetry and event data into correlation reports identifying sensors and derived statistics that may be predictive of analysis-causing events.

Predictive modelling pipeline for customer or donor behaviour, with model comparison, ROC evaluation, and SHAP based interpretability using privacy safe features.

Real-world Markov Process Simulation using Divvy Bike Data (GBFS), demonstrating SAS-to-Python migration for operational analytics and forecasting.

🚀 Benchmark parallel execution strategies in the pydre analytics pipeline to identify the best approach for diverse workload scenarios.