Advanced statistical & Data Science solutions with interactive dashboards for turning environmental, healthcare, and business data into actionable insights.
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Discover interactive dashboards across multiple domains — from climate science to business intelligence.
Drought indices, GHG emissions, temperature trends, precipitation analysis, and environmental monitoring dashboards.
Clinical trials, epidemiological trends, patient outcomes, and medical data visualization dashboards.
Crop yield forecasts, soil conditions, irrigation monitoring, and agricultural analytics dashboards.
Renewable energy production, consumption patterns, grid stability, and energy efficiency dashboards.
Sales analytics, customer behavior, KPI tracking, and business intelligence dashboards.
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Transforming complex data into actionable insights through advanced analytics, research consulting, and dashboard development services.
Expert statistical modelling, hypothesis testing, regression analysis, time series, machine learning, and deep learning — tailored for climate science, business analytics, and medical research.
Inquire →Custom interactive dashboards for climate analytics, environmental monitoring, business intelligence, and academic research. Built with Python, R, Streamlit, Plotly, Chart.js, and D3.js.
Inquire →Professional assistance for statistical methodology, data interpretation, academic writing, and publication-ready figures. Published in Springer, Elsevier, Taylor & Francis, and other top-tier journals.
Inquire →AlphaStatLab is a personal research and consulting platform developed by Muhammad Ilyas — a PhD scholar in Statistics at the Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan.
Specialist areas include spatiotemporal drought monitoring, climate change analysis, machine learning and deep learning for environmental forecasting, and biostatistics.
🎓 PhD Scholar (Statistics & Machine Learning) · Quaid-i-Azam University, Islamabad, Pakistan
Specialized in statistical analysis, predictive modeling, machine learning, and advanced data-driven methods for environmental and applied research problems.
Research Intern at Pakistan Meteorological Department, contributing to applied climate and environmental data analysis. Part-time Biostatistician at HBS Medical & Dental College, supporting medical research through statistical modeling and data interpretation. Freelance Data Analyst with 5+ years of experience delivering data-driven solutions across research, healthcare, and business domains. Author of 5+ peer-reviewed research publications in international journals.
Technical Expertise: Python, R, Arcgis, JavaScript, SQL. Machine Learning, Deep Learning, Time Series Analysis, and Advanced Statistical Modeling. Dashboard Development using Python, R Shiny, Streamlit, Plotly, and Chart.js for interactive and data-driven visualization solutions.
Research partnerships, statistical consulting, and dashboard development worldwide. Connect on LinkedIn or ResearchGate.