Muhammad Khan
Data Engineer @ H2O Labs (Pvt.) Ltd.
About
I’m a Data Scientist and Machine Learning Engineer with hands-on experience building real-world AI solutions across healthcare, geospatial analysis, and PV analytics. My work is mostly in data engineering and machine learning from designing ETL pipelines and automating data ingestion to developing predictive models and deploying full end-to-end systems. I’ve worked on projects ranging from chronic disease prediction to PV Analytics and geospatial heat mapping. I enjoy taking complex datasets, making sense of them, and turning them into tools or insights that actually help people and businesses. My skill set includes Python, TensorFlow, Scikit-learn, SQL, BigQuery, and cloud platforms like Google Cloud and Azure. I’ve built dashboards, automated pipelines, integrated chatbots, and developed forecasting and classification models that support decision-making.
Pakistan
Lahore
Computer Software
Google Earth Engine, Airflow, Django, Extract, Transform, Load (ETL), Firebase, Random Forest, Regression Models, Interpersonal Skills, Data Science, Data Security, Machine Learning, Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Google BigQuery, Data Engineering, Data Analytics, Artificial Intelligence (AI), Convolutional Neural Networks (CNN), Linux
Experience

Data Scientist
Lahore, Punjab, Pakistan
At MasterLinks, I work as a Data Scientist focused on building models, automating data workflows, and supporting analytics. My role includes developing and optimizing dashboards, and designing data pipelines that make insights easily accessible. I’ve contributed to forecasting models and interactive dashboards used by internal teams. Much of my work involves processing diverse datasets, extracting trends, and translating business requirements into practical, data driven solutions.

Data Engineer
Lahore, Punjab, Pakistan
At Nastron Solutions, I am responsible for building and maintaining scalable data ingestion and processing pipelines. My work focuses on automating the parsing, transformation, and storage of large datasets, particularly for PV analytics. I design ETL workflows that improve data reliability and reduce processing time, while ensuring that data is readily available for analysis and modeling. The role requires close coordination with engineering and analytics teams, and involves optimizing pipeline performance, managing cloud-based storage, and improving overall data accessibility across the organization.
Education

Computer Science
Core Courses: Object Oriented Programming (OOP), Data Structures and Analysis(DSA), Design and Analysis of Algorithms(DAA), Database Management Systems, Operating Systems, Software Engineering, Web Engineering , Artifical Intelligence, Data Science, Cloud Computing, Deep Learning, Big Data Analytics
Muhammad Khan's Contact Information
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