Body Measurement Dataset Collection
Collected 50+ image samples with body measurements and metadata for AI body-measurement estimation model. Zero quality rejections from client. Full documentation with data dictionary included.
ML Dataset Engineer • Data Science Specialist
I build datasets that ML models actually train well on. If your model is underperforming, it's probably a data problem. I handle the full data pipeline — collection, cleaning, structuring, and validation — so your team can focus on modeling, not fixing CSVs.
Get accurate data, fast delivery, guaranteed quality
Extract and structure training data from PDF documents. Delivered as labeled, model-ready CSV files.
Includes: Extraction • Structuring • Labeling • Quality Check
Get a clean dataset and logistic regression model in Python. Production-ready with full documentation.
Includes: Cleaning • Model • Testing • README
Collect, organize, and validate image datasets with metadata mapping. Zero quality rejections guaranteed.
Includes: Collection • Organization • Metadata • QA Report
Custom requirements? Get a personalized quote →
I build datasets that ML models actually train well on.
If your model is underperforming, it's probably a data problem. I specialize in collecting, cleaning, and preparing data at scale — so your team can focus on modeling, not fixing CSVs.
With 3 completed 5★ projects on Upwork and 100% job success rate, I handle the full data pipeline: collection from scratch, deduplication, normalization, feature engineering, and quality validation.
5★ Projects
Success Rate
Total Earnings
Manual, API-based, research, or client-provided sources. Delivered at scale with full documentation.
Deduplication, normalization, missing value handling, format standardization for production.
Distribution checks, outlier detection, consistency audits. Zero rejections from clients.
Python, Java, C++, R, Bash
K-Means, Logistic Regression, SVM, Decision Trees, Naive Bayes, Classification, Hyperparameter Tuning
Pandas, NumPy, Scikit-learn, Jupyter, Excel, Google Sheets
Matplotlib, Tableau, Data Distribution Analysis, EDA
YOLO, Tesseract OCR, Scrapy, MATLAB
Collection, Cleaning, Preprocessing, Feature Engineering, Validation, Training/Test Splits
Collected 50+ image samples with body measurements and metadata for AI body-measurement estimation model. Zero quality rejections from client. Full documentation with data dictionary included.
Created comprehensive indoor plants dataset with full QA validation pipeline. "Very Proficient and always successfully delivers positive results" - Client Testimonial. Structured, labeled, and model-ready.
Extracted and structured training data from PDF documents for ML pipeline. Delivered labeled, model-ready CSV files with comprehensive documentation. Python-based extraction pipeline.
End-to-end data cleaning and logistic regression model development. Cleaned dataset with proper preprocessing, feature scaling, and model evaluation. Production-ready with full README documentation.
January 2026 - Present
Specialized in AI data collection, cleaning, and preprocessing. 100% job success on Upwork with 5★ rating from all completed projects. Delivered model-ready datasets for various ML applications.
January 2026 - Present
Python-based data extraction from PDFs, websites, and documents. Delivered clean, structured, and model-ready data. Expert-level project with successful client handoff.
February 2026
IBM Data Analysis Using Python certification. Demonstrated expertise in using Python for data analysis, statistical methods, visualization, and business insights.
January 2026
IBM Machine Learning with Python - Level 1 certification. Completed comprehensive ML training covering algorithms, model development, and optimization techniques.
2023 - 2027 (3rd Semester)
Pursuing Bachelor of Computer Science with focus on Artificial Intelligence at National University of Sciences & Technology. Strong foundation in algorithms, data structures, and AI principles.
5★ feedback from verified Upwork clients
"Very Proficient and always successfully delivers positive results. Excellent work on the Indoor Plants Dataset - perfectly structured and validated."
"Zero quality rejections on the body measurement dataset. Daniyal delivered exactly what was needed - 50+ image samples with perfect metadata mapping. Highly professional."
"Exceptional data extraction and structuring from PDFs. Delivered clean CSV files ready for training immediately. Great communication throughout the project."
Job Success Rate
5★ Reviews
Avg Response Time
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