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$
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I will analyze and visualize data using python, r and spss
I’m an MPhil Biotechnology scholar with strong expertise in Systematic Reviews, Meta-Analyses, and Machine Learning applications in Biotechnology and Bioinformatics. I can help you design, analyze, an...
About this Gig
Are you looking for accurate, reliable, and professional data analysis for your research or business?
I specialize in Python, R, and SPSS to deliver high-quality results tailored to your needs.
My Services Include:
- Data Analysis & Cleaning (Pandas, NumPy, SQL, MongoDB)
- Statistical Analysis (Regression, ANOVA, Correlation, Hypothesis Testing in SPSS/R)
- Machine Learning Models (Scikit-learn, TensorFlow, supervised & unsupervised learning)
- Data Visualization (ggplot2, matplotlib, seaborn, Shiny dashboards)
- Bioinformatics Analysis (RNA-seq, DESeq2, Bioconductor workflows)
- Database Integration (SQL queries, MongoDB connections, data pipelines)
What You Get:
️ Clean, reproducible code (Python notebooks / R scripts / SPSS outputs)
️ Professional graphs, dashboards, and visualizations
️ Clear interpretation of results in simple language
️ On-time delivery and unlimited revisions within scope
Why Choose Me?
- Strong academic and research background
- Experience across biology, medicine, social sciences, and business analytics
- 100% client satisfaction with tailored solutions
My Portfolio
FAQ
Can you explain the results in simple terms for non-technical readers?
Yes! I always provide clear explanations alongside technical outputs.
Will I receive the source files?
Absolutely. You’ll get all scripts, SPSS files, and datasets (if shared).
Can you handle urgent or complex academic work (thesis, research paper)?
Yes. I offer express delivery options for urgent projects.
Do you provide visualization dashboards?
Yes. I can create interactive plots and dashboards in R (Shiny) or Python (Plotly).
Is my data kept confidential?
Yes, absolutely. I treat all datasets and project files with strict confidentiality. They will never be shared or reused under any circumstances.
