You will get a precise plan what to do with your data
Project details
After the project you will have a clear roadmap of the next potential steps. so, You will be happy at the end! Lets start cooperation.
Data Entry Type
Data Cleansing, Error DetectionData Entry Tool
Google Docs, Google Sheets, Microsoft Excel, Microsoft OfficeWhat's included $30
These options are included with the project scope.
$30
- Delivery Time 1 day
2 reviews
(2)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
VH
Vlad H.
Mar 11, 2025
Expert Data Annotation & Image Labeling for AI and Machine Learning in Healthcare - Data Entry
Before getting consulting with Anastasia, Sergey and their Tech Leader, we were struggling with several key issues in our data annotation and AI training pipeline:
🔹 Inconsistent annotation quality
– Labeling guidelines were unclear, leading to high error rates and unreliable training data. Inefficiency in annotation workflows.
– Our processes were slow, costly, and difficult to scale.
🔹 Lack of proper quality control
– We had no clear system for validation, making it hard to maintain data integrity.
🔹 Difficulty in training annotation teams
– Onboarding and maintaining annotation consistency across teams was a major challenge.
Anastasias Team Leader Artem quickly identified high-impact improvements and provided strategic consulting that totally transformed our approach to AI training and data labeling.
✅ Optimized annotation workflows – Helped us streamline processes, cutting annotation time and reducing costs.
✅ Provided quality control best practices – Designed multi-stage validation steps, improving dataset consistency.
✅ Improved scalability – Provided insights on automating repetitive tasks and structuring teams for long-term efficiency without losing precision of data.
Thanks to Anastasia and Sergey, our AI model training is now faster, more reliable, and cost-effective. Their deep expertise in data labeling, data entry, Data Management, AI annotation made a measurable impact.
If you’re looking for a consultant who goes beyond execution and truly optimizes your AI training pipeline, I highly recommend their team!
🔹 Inconsistent annotation quality
– Labeling guidelines were unclear, leading to high error rates and unreliable training data. Inefficiency in annotation workflows.
– Our processes were slow, costly, and difficult to scale.
🔹 Lack of proper quality control
– We had no clear system for validation, making it hard to maintain data integrity.
🔹 Difficulty in training annotation teams
– Onboarding and maintaining annotation consistency across teams was a major challenge.
Anastasias Team Leader Artem quickly identified high-impact improvements and provided strategic consulting that totally transformed our approach to AI training and data labeling.
✅ Optimized annotation workflows – Helped us streamline processes, cutting annotation time and reducing costs.
✅ Provided quality control best practices – Designed multi-stage validation steps, improving dataset consistency.
✅ Improved scalability – Provided insights on automating repetitive tasks and structuring teams for long-term efficiency without losing precision of data.
Thanks to Anastasia and Sergey, our AI model training is now faster, more reliable, and cost-effective. Their deep expertise in data labeling, data entry, Data Management, AI annotation made a measurable impact.
If you’re looking for a consultant who goes beyond execution and truly optimizes your AI training pipeline, I highly recommend their team!
KD
Kevin D.
Aug 27, 2020
QA
Great. I am just ending this contract and opening another with a different QA engineer at the same company.
About Anastasiia
I bridge the gap from chaotic Data in Startups to high accurate AI
Dnipro, Ukraine - 1:15 pm local time
That fuel is data, and MY JOB is to refine, annotate & label, and structure it so your AI runs at peak performance.
I have personally of 7 years experience in AI machine learning and Data Annotation.
I and my amazing team spent together the last 5+ years working with companies across computer vision, AI training, and automation, ensuring their datasets are clean, structured, and optimized for machine learning. Along the way, I’ve mastered the best tools in the industry—not just using them, but bending them to fit the unique needs of every project.
🛠 Tools & Technologies I Work With
📌 Annotation Platforms – The Heart of Every AI Dataset
I’ve worked extensively with CVAT (4+ years), Labelbox (4+ years), and Roboflow (3+ years) for image and video annotation. Whether it’s bounding boxes, polygons, segmentation, or keypoints, these platforms are my daily workspace. For large-scale automation, I integrate annotation with Python scripts, streamlining the process and reducing manual workload.
💡 Example: A client needed 50,000 medical images annotated for a diagnostic AI. By combining Labelbox for manual annotation with Python automation, I helped them cut processing time by 40% while maintaining 99.8% accuracy.
📌 AI Model Training & Computer Vision – Teaching AI to “See”
For machine learning projects, I leverage TensorFlow (3+ years), OpenCV (4+ years), and YOLOv8 (3+ years) to preprocess images, validate annotations, and train models. These tools have been critical in projects involving object detection, medical imaging, and e-commerce product classification.
💡 Example: Using YOLOv8, I helped an e-commerce client automate real-time product classification. This reduced human intervention by 85%, leading to higher accuracy and a 60% faster tagging process.
📌 Data Structuring & Automation – The Hidden Backbone of AI
Without structured data, even the best models fail. I use Python (5+ years), SQL (4+ years), and Google Sheets (5+ years) to clean, validate, and transform raw data into structured formats.
💡 Example: A dataset of 1.2M+ entries was too noisy for an AI fraud detection system. By implementing automated data cleaning scripts in Python, I improved the dataset’s reliability by over 95%, enabling the AI to detect fraudulent transactions with 99% precision.
📌 E-commerce & Specialized Annotation – Optimizing for Industry Needs
I’ve worked with Shopify (3+ years) for e-commerce product tagging, ensuring that product data is structured for AI-driven search and recommendation systems.
💡 Example: I optimized a Shopify product dataset of 75,000+ SKUs, reducing redundant tagging by 40%, improving search relevance, and increasing customer conversions by 23%.
In the medical and legal AI space, I’ve provided precision-focused annotation for compliance-heavy datasets, ensuring regulatory standards are met.
🔍 Quality Matters – And I Ensure It
🚀 High Precision – I maintain 99%+ annotation accuracy across all projects.
📊 Scalability – I handle datasets from 500 to 5,000,000+ entries with efficiency.
🔄 Adaptive Workflow – I customize my approach based on project needs, whether it’s manual annotation, AI-assisted labeling, or full automation.
Many AI models fail—not because of bad algorithms, but because of bad data. I make sure that never happens to you.
📩 Ready to level up your data? Let’s build something extraordinary!
Steps for completing your project
After purchasing the project, send requirements so Anastasiia can start the project.
Delivery time starts when Anastasiia receives requirements from you.
Anastasiia works on your project following the steps below.
Revisions may occur after the delivery date.
Write to me
Book a call