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English
$
USD
I will perform data analysis for food science and agricultural data
Bringing Your Ideas to Life Beautifully and Professionally
Hi, I’m Kavinda! As an IBM Certified Data Scientist with a background in Food Science, I turn complex data into growth-driving solutions. Whether you need predictive machine learning, deep statistical...
About this Gig
Are you a food tech startup, agriculture researcher, or product developer struggling to analyze lab results, sensory feedback, or field trial data?
I bridge the gap between Data Science and Food/Agri Science. As an IBM-Certified Data Scientist with a background in Food Science, I understand your datafrom Brix, pH, and shelf-life metrics to ANOVA testing for sensory panels and crop yields.
I transform messy lab sheets, trial data, and survey results into clean statistical insights and visual reports.
What I Offer:
- Food Lab & Quality Data (pH, shelf life, texture analysis)
- Sensory Evaluation (Hedonic scale testing, panel results)
- Agri Field Data (Yield performance, trial comparisons)
- Advanced Stats & ML (ANOVA, t-tests, PCA, regression)
- Custom Visualizations (Box plots, bar graphs, heatmaps)
Deliverables:
- Cleaned dataset (CSV/Excel)
- Commented Python Jupyter Notebook (.ipynb)
- Visual charts & statistical summary report
Why Choose Me?
Domain expertise in food & agri metrics combined with clean Python code and fast communication.
Please message me with your project details BEFORE ordering!
FAQ
What format should my data be in?
I accept Excel (.xlsx, .xls), CSV, TSV, Google Sheets, or raw SPSS files.
Do you provide the code used for analysis?
Yes! Every order includes the full, documented Jupyter Notebook (.ipynb) or Python code so you can reproduce the results anytime.
Can you help with small sample sizes or missing lab data?
Absolutely. I use robust statistical techniques in Python to handle missing values and test for normality even with smaller experimental sample sizes.
