You will get machine learning or deep learning projects in python jupyter
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Top Rated
Project details
I am a professional research scientist in Biotechnology and AI. I am here to help in solving classic and advanced Machine Learning problems like regression, classification or clustering and deep neural networks. I can create code in various Python Framework like sklearn, keras, tensorflow, pandas, numpy or PyTorch. I assure quality as I've performed more than commercial projects connected with Data Science, Machine learning, NLP and Deep learning.
I have expertise in all domains of Machine learning algorithms like supervised learning, unsupervised learning, reinforcement learning, Semi-supervised learning, machine learning pipeline and much more.
Why me?
• Already have industrial experience
• Easy to work with
• Work submitted on time
• Regular updates
Contact me before booking order
I have expertise in all domains of Machine learning algorithms like supervised learning, unsupervised learning, reinforcement learning, Semi-supervised learning, machine learning pipeline and much more.
Why me?
• Already have industrial experience
• Easy to work with
• Work submitted on time
• Regular updates
Contact me before booking order
Machine Learning Tools
ChatGPT, Keras, NumPy, OpenCV, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$90
|
Standard
$180
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 1 | 2 | |
Number of Scenarios | 1 | 3 | |
Number of Graphs/Charts | 1 | 2 | |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
24 reviews
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SS
Sam S.
Aug 16, 2026
Decision tree model
AS
Anthony S.
Oct 27, 2025
30 minute consultation
genuine feedback provided. Great to work with.
AF
Aloysius F.
Oct 27, 2025
Bioinformatics tutor
Great work- always prompt and helpful
HA
Hamad A.
Oct 20, 2025
Consultation - Knowledge transfer
Working with Mohammad has been a really positive experience. He’s not only skilled in bioinformatics, population genetics, and genomic analysis, but also very patient and easy to communicate with. He takes the time to explain things clearly and always delivers excellent work. I truly appreciate his dedication and the quality of his results.
YZ
Youwei Z.
Sep 15, 2025
Consultation about speeding up local ollama running
About Mohammad Waqas
Bioinformatics & Genomic Analysis | Data Science, Python, R, ML & AI
100%
Job Success
Chakwal, Pakistan - 9:48 am local time
I provide end-to-end Bioinformatics, Genomic Analysis, Data Science, Biostatistics, Machine Learning, and AI solutions for researchers, laboratories, biotech companies, healthcare teams, startups, and scientific organizations.
I work with biological, genomic, transcriptomic, clinical, experimental, and structured datasets using Python, R, Linux, machine learning, statistical modeling, automation, Docker, Nextflow, and modern AI tools.
My goal is not just to run an analysis. I deliver organized results, reproducible code, clear interpretation, publication-ready visualizations, predictive models, automated workflows, dashboards, and usable scientific applications.
BIOINFORMATICS & GENOMIC ANALYSIS
• Bulk RNA-seq and transcriptomics analysis
• RNA-seq count-matrix analysis
• Quality control, normalization, and batch correction
• Differential gene expression analysis
• DESeq2, edgeR, limma, and Bioconductor workflows
• Genomic and gene expression data analysis
• Sequence and genomic dataset analysis
• PCA, heatmaps, volcano plots, and expression visualization
• Biological interpretation of genomic results
GEO, TCGA & PUBLIC DATA ANALYSIS
• GEO microarray and RNA-seq reanalysis
• GEO accession download and preprocessing
• Metadata extraction and sample classification
• TCGA cancer genomics analysis
• Tumor versus normal comparisons
• Gene expression and clinical data integration
• Kaplan-Meier survival analysis
• Cox regression
• Biomarker validation across public datasets
PATHWAY & BIOMARKER ANALYSIS
• Gene Ontology analysis
• KEGG and Reactome pathway analysis
• Gene Set Enrichment Analysis
• Over-representation analysis
• Candidate biomarker identification
• Multi-dataset biomarker validation
• ROC curves and AUC analysis
• LASSO and Elastic Net feature selection
• Gene signature development
• Diagnostic and prognostic analysis
DATA SCIENCE & STATISTICAL ANALYSIS
• Data cleaning, preprocessing, and transformation
• Exploratory data analysis
• Statistical hypothesis testing
• Regression analysis
• Classification and predictive modeling
• Feature selection and dimensionality reduction
• Survival and clinical data analysis
• Scientific and biomedical data analysis
• Data visualization
• Reproducible statistical workflows in Python and R
MACHINE LEARNING & AI
• Supervised and unsupervised machine learning
• Classification and regression models
• Random Forest, SVM, Logistic Regression, XGBoost, and related methods
• Feature engineering and feature selection
• Model evaluation and validation
• Cross-validation and performance metrics
• Machine learning for biological, clinical, and scientific datasets
• AI-assisted scientific applications
• LLM and RAG-based research tools
• Custom AI workflows and automation
• Integration of AI with structured datasets and scientific workflows
MOLECULAR DOCKING & DRUG DISCOVERY
• Protein-ligand molecular docking
• AutoDock Vina and PyRx workflows
• Binding affinity and pose analysis
• Protein-ligand interaction analysis
• Virtual screening
• Drug-target analysis
• ADMET analysis
• Drug-likeness and Lipinski analysis
• SwissADME and pkCSM
PIPELINES, AUTOMATION & APPLICATIONS
• Reproducible bioinformatics pipelines
• Data science and analysis pipelines
• RNA-seq and genomics workflow automation
• Python and R automation
• Linux-based workflows
• Docker and Nextflow
• Batch data processing
• Automated analysis and reporting
• Custom scientific tools
• Streamlit dashboards
• Interactive data applications
• Genomics, biomarker, pathway, and scientific dashboards
DELIVERABLES
Depending on the project, I can provide:
• Reproducible Python or R code
• Clean and structured datasets
• Statistical analysis and machine learning results
• Bioinformatics and genomic analysis outputs
• Trained and evaluated predictive models
• DEG, pathway, biomarker, survival, docking, or ADMET results
• High-resolution publication-ready figures
• Biological and statistical interpretation
• Automated workflows and pipelines
• Technical and scientific reports
• Methods and results documentation
• Interactive dashboards and applications
• Transparent discussion of limitations and supported conclusions
TOOLS & TECHNOLOGIES
Python, R, Linux, pandas, NumPy, scikit-learn, Bioconductor, DESeq2, edgeR, limma, GEOquery, TCGAbiolinks, clusterProfiler, ReactomePA, survival, survminer, glmnet, pROC, ggplot2, ComplexHeatmap, Cytoscape, AutoDock Vina, PyRx, Streamlit, Docker, Nextflow, machine learning, LLMs, and RAG workflows.
WHY WORK WITH ME?
• Top Rated freelancer
• 100% Job Success Score
• 24 five-star client reviews
• Experience across bioinformatics, genomic analysis, data science, and AI
• Reproducible rather than black-box analysis
• End-to-end project support
Steps for completing your project
After purchasing the project, send requirements so Mohammad Waqas can start the project.
Delivery time starts when Mohammad Waqas receives requirements from you.
Mohammad Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
It will be fully according to the client's needs.