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I will provide expert ab test design and data analytics in python
Rigorous Data Analytics Backed by Mathematical Statistics
I am a Data Analyst and Software Developer completing my BSc in Computer Science with a second major in Mathematical Statistics. I specialize in turning complex raw data into actionable business intel...
About this Gig
Mathematically rigorous A/B testing analysis. I use my BSc background in Computer Science and Mathematical Statistics to ensure your experiment results are statistically sound, repeatable, and driving true business profit.
WHAT I OFFER:
1. PRE-TEST DESIGN (Basic): Exact sample size calculations to prevent underpowered, expensive tests, MDE calculations, and run duration guidelines.
2. STATISTICAL INFERENCE ENGINE (Standard): Classical Frequentist Analysis via two-sample pooled Z-tests for conversions. Bayesian Inference using conjugate Beta-Binomial models to sample complete posterior distributions via Monte Carlo simulations.
3. INTERACTIVE DASHBOARDS (Premium): End-to-end Python processing pipelines for raw logs. Interactive Streamlit web interfaces for custom CSV uploads and automated test coverage (pytest verified) for math integrity.
I bridge statistical theory with clean software engineering. Every algorithm is production-ready and backed by my GitHub portfolio. Please message me before ordering to discuss your dataset!
FAQ
What data format do you require for the analysis?
I accept standard CSV, Excel, or JSON transaction logs. For best results, your dataset should include unique user identifiers, variant group tags (A vs B), timestamp fields, and your core success metrics like clicks, sign-ups, or revenue amounts.
Why do you use both Frequentist and Bayesian methods?
Traditional Frequentist p-values can be easily misinterpreted if traffic cadences shift. Combining them with Bayesian conjugate priors provides a clearer picture by telling you the exact probability that Variant B is better than Variant A, maximizing your decision security.
Can you build dashboards for other data types besides A/B testing?
Yes! While this gig focuses on experimentation, my dual major in Computer Science and Mathematical Statistics allows me to build custom Streamlit pipelines, business intelligence dashboards, and predictive churn frameworks for any transactional dataset.
