Having a decade of experience in the education and training industry focusing on outreach, industry engagement and even career coaching, I am bravely diving into the world of data science as a data analyst. I am looking for generalist data analyst roles, with a preference for social media text mining.
Showcasing supervised machine learning, deep learning, text classification, exploratory data analysis or good old logistic regression - my portfolio of projects consists of different projects that I had embarked on during the course of my Data Science Immersive with General Assembly as well as my own personal projects. My favourite would be the brand insights projects which apart from EDA, encapsulated a variety of NLP models such as: SpaCy, LDA, Word2Vec and Doc2Vec.
| S/n | Topic name | Techniques used |
|---|---|---|
| 1 | Analysis of SAT & ACT scores across US states | EDA & Outside Research |
| 2 | Housing Price Prediction in the State of Ames | Linear Regression (Ridge,Lasso & ElasticNet) |
| 3 | Seedly Forum - Text Classification Challenge | Text Classfication using Naive Bayes, Logistic Regression, Support Vector Machines |
| 4 | Brand Insights for Secretlab | SpaCy, Gensim Word2Vec, Topic Modelling using LDA, Creating feature vectors using Doc2Vec, Topic classifier using Logistic Regression |