You will get Data Analysis Processing for Health and Biotech Research

Miranda V.Status: Offline
Miranda V. Miranda V.
5.0
Rising Talent

Let a pro handle the details

Buy Data Entry & Cleaning services from Miranda, priced and ready to go.
Miranda V.Status: Offline
Miranda V. Miranda V.
5.0
Rising Talent

Let a pro handle the details

Buy Data Entry & Cleaning services from Miranda, priced and ready to go.

Project details

Do you have complex biomedical or healthcare data and need clear, accurate insights?
I help researchers, startups, and healthcare professionals clean, process, and analyze biomedical data to transform raw numbers into meaningful results. With experience in health data cleaning, statistical modeling, and visualization, I ensure your datasets are reliable and ready for analysis or publication.

What I can do for you:
Data cleaning & preprocessing of biomedical/clinical datasets (CSV, Excel, SQL, etc.)
Handling missing data, outliers, and normalization
Statistical analysis (t-tests, ANOVA, regression, etc.)
Biomedical signal analysis (ECG, EMG, biosensor data)
Data visualization (clear plots & graphs for publications/presentations)
Documentation & reproducible code (Python/R/Matlab)

Why choose me?
Specialized in biomedical & healthcare datasets (not just generic data cleaning)
Focused on accuracy, reproducibility & clarity
Clear communication + tailored approach for each project
Data Tool
Python
What's included
Service Tiers Starter
$60
Standard
$120
Advanced
$190
Delivery Time 3 days 5 days 7 days
Number of Revisions
124
Number of Pages Mined/Scraped
20001000050000
Number of Sources Mined/Scraped
51050
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$20
5.0
1 review
100% Complete
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Md

Maison d.
5.00
Feb 12, 2026
Cosmetologist/Aesthetician/Dermatologist for Client Consultations
Miranda V.Status: Offline

About Miranda

Miranda V.Status: Offline
Cheminformatics | Data Science with Python | Biomedical Engineering
5.0  (1 review)
Malvinas Argentinas, Argentina - 10:55 am local time
Building data pipelines to accelerate drug discovery and health research for biotech startups and researchers.

- Cheminformatics | Bioinformatics
- Data Science with Python
-Biomedical Engineering + Health Data Specialist
-Drug Discovery, Machine Learning & AI Training
Bilingual: English & Spanish

About Me
I am a Biomedical Engineering master student and Python developer specializing in cheminformatics, AI/ML, and biomedical signal processing. I have hands-on experience with RDKit, Scikit-learn, generative AI (REINVENT), and data pipeline automation for drug discovery and health data analysis.

Recently, I developed a machine learning model (Random Forest) to predict tyrosinase inhibitors for skin depigmentation compounds, and implemented a REINVENT-based pipeline for de novo molecular design based on transcriptomic data.

I am proficient in Python, C/C++, and have basic knowledge of HTML/JavaScript. I am a fast learner, able to deliver end-to-end projects independently, and communicate effectively in English.

Why Work With Me?
I’m not just a “data entry freelancer”. I deliver end-to-end solutions. From preparing raw data to building AI models and pipelines, I adapt to your project’s scope and grow with your needs. This means you can rely on me for long-term collaboration, whether it’s routine data management or advanced data-driven innovation.

Steps for completing your project

After purchasing the project, send requirements so Miranda can start the project.

Delivery time starts when Miranda receives requirements from you.

Miranda works on your project following the steps below.

Revisions may occur after the delivery date.

Client sends requirements

You provide your dataset, objectives, and any specific instructions or compliance needs

Data assessment & profiling

I review your data for missing values, duplicates, outliers, and inconsistencies and I create a short audit report highlighting data quality issues.

Review the work, release payment, and leave feedback to Miranda.