ekinderdiyok / causal-inference

Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.

Welcome to my GitHub profile!

Here, I showcase my data analytics portfolio and my competences.

I am open to work. You can find my CV (resume) and email on the left, just below my profile picture.

Projects

Name	Description	Technologies	Visit
User Analytics Dashboard	Generates synthetic data, builds a sleek, interactive Tableau dashboard, computes subscription KPIs.	Tableau	Tableau
Customer Segmentation (Online Fashion Retailer)	Generates synthetic data, builds a database, runs queries, segments customers using k-means and Recency-Frequency-Monetary (RFM).	Python, SQL, Jupyter	GitHub
Causal Inference: Does being a plus member ACTUALLY increase customer lifetime value?	Sketches Business Model Canvas, discusses A/B testing and RCTs, codes a proof-of-concept.	CausalWizard, DoWhy, Python	GitHub
Information Diffusion on 𝕏 (Twitter)	Models Twitter API data, compares computational models, programs NLP via OpenAI API, constructs social network graphs via NetworkX.	Python, LaTeX, OpenAI API, Figma	GitHub
Altered States Database	Survey data meta-analysis. Logs scientific data, co-authors a publication here.	Microsoft Excel	asdb.info
TikTok and Media Multitasking	Decision neuroscience research proposal and poster presentation investigating similarities between media multitasking and TikTok use	Figma	Web

Marketing

Google Search Console, Google Analytics 4 (GA4), SEO, Figma (Design), Mailchimp (Email Marketing), Pipedrive (CRM), Webflow (Website CMS), Social Media, Lead Funneling, Event Organization (Vision Pro Community Event), Conference Attendence (AWE USA 2024).

Academia

LaTeX (free, open-source, version controlled typesetting), MATLAB (programming), qualtrics (survey data collection), Zotero (bibliography), machine learning (regression, clustering, classification, PCA, NLP)

Books I love and learned a lot from 📚🐛