Hire the Best Data Scientists
in Norway

🚀 I help companies turn engineering and sensor data into practical AI solutions — from idea to working MVP. I’m Dr. Muhammad Zohaib Sarwar, a PhD engineer from NTNU, Norway, with hands-on experience in machine learning, signal processing, predictive maintenance, smart sensing, and industrial analytics. My work combines strong research depth with practical implementation, so clients get solutions that are not only technically sound, but also usable in real projects. I have worked on real-world engineering problems involving condition monitoring, railway systems, sensor integration, time-series analysis, and data-driven diagnostics. My background spans AI, embedded sensing, cloud-based analytics, and engineering workflows, allowing me to bridge raw data, algorithms, and deployable solutions. 💡 What I Can Help You With * Build AI/ML MVPs in as little as 30 days for well-defined use cases * Predictive maintenance and anomaly detection systems * Signal processing and time-series analytics * Vibration and condition monitoring solutions * Sensor fusion, IoT, and edge-data workflows * Deep learning models for engineering applications * Dashboards, reporting tools, and cloud-based analytics * Research consulting, algorithm development, and technical documentation 🧠 My Expertise * Machine learning and deep learning * Predictive modeling and fault diagnostics * Signal processing and feature engineering * Time-series analysis * Smart sensing and embedded systems * IoT and sensor data pipelines * Technical data visualization and reporting * Engineering-focused AI workflows ⚙️ Tools & Technologies * Programming: Python, MATLAB, C/C++ * AI/ML: TensorFlow, PyTorch, Scikit-learn * Cloud & DevOps: Azure, AWS, Docker, Git, Power BI * Engineering Tools: COMSOL, ABAQUS, LabVIEW * Hardware: Arduino, Raspberry Pi, FPGA, smart sensors ✅ Why Clients Hire Me I do more than build models. I help clients define the problem clearly, structure the data, choose the right technical approach, and develop a solution that creates real value. If you need someone who can: * Understand complex technical systems * Work with noisy real-world data * Build reliable AI workflows * Deliver a useful prototype or MVP fast then I can help. 🤝 Let’s build an intelligent solution that is practical, reliable, and ready for real use.

One of my skills are solving real-life problems by coding effective and functional algorithms, I've learned the programming languages, Python, Java and MySQL. Furthermore, I'm willing to learn and expand my knowledge to become an expert at my field. Lastly, I’ve also worked as a Norwegian interpreter at TolkeNett, and during translation I’m determined to ensure that the message is received in a well formulated manner to the client. Feel free to contact me, I'm available for audio transcription and translation services.

Bioinformatics Specialist & Data Scientist with Full-stack Developer and Platform Engineering Expertise PhD in Bioinformatics with a robust foundation in designing and optimizing data pipelines, ETL processes, and integrating large-scale biological datasets. Over 6 years of professional experience in developing end-to-end data processing workflows, building and deploying scalable machine learning models, and implementing statistical models. Proficient in architecting and automating data platforms, ensuring efficient data flow and real-time processing for high-throughput genomics, proteomics, and other omics data. Expertise in creating full-stack solutions that transform complex biological research into actionable insights, leveraging advanced data transformation, analysis, and visualization techniques. Skilled in bridging the gap between bioinformatics and software development, delivering scalable, reliable, and maintainable data solutions. Technical Skills: • Programming Languages: Python (7+ years) • Data Processing: Pandas, Numpy, and other Python-based data manipulation tools • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB), Vector (Milvus) • Data Pipelines: ETL processes, Snakemake • Machine Learning: PyTorch, Scikit-learn, model deployment • Data Visualization: Matplotlib, Seaborn, Plotly, interactive dashboards Bioinformatics Tools: • Programming Libraries: BioPython • Genetic and Variant Analysis: PLINK, GATK (Genome Analysis Toolkit), variant calling • Sequence Alignment: MUSCLE • Genomic Studies: GWAS tools Molecular Modeling Tools: • Molecular Dynamics: AMBER, GROMACS • Structural Visualization: PyMOL • Docking: AutoDock, VINA, DiffDock, etc. • Protein Structure Prediction: AlphaFold • Applications: Molecular dynamics simulations, structural bioinformatics Extensive experience integrating a wide range of bioinformatics databases across various domains into pipelines and custom software: Genomic Databases, e.g, NCBI (GenBank, RefSeq), Ensembl, ClinVar • Protein and Structural Databases, e.g. UniProt, PDB, InterPro, Pfam • Pathway and Functional Databases, e.g. KEGG • Chemical and Drug Databases, e.g., ZINC, PubChem, ChemDB, DrugBank