About Me

I am Sia Phulambrikar, a Junior at UCLA double majoring in Data Theory and Economics.

My technical skillset includes Python, R, SQL, Tableau and Excel. I am experienced in NLP, Time Series Forecasting, Predictive Modeling, Data Visualization, and Statistical analysis. I’m interested in the intersection of Data Science and Business Management.

In my free time, I enjoy hiking, painting and trying new cuisines. Check out my data science projects below!

Projects

Project 1: SQL Movie Analytics

Using SQL to analyze a movies database. I start with broad exploratory analysis about the data, and then delve deeper into genre-specific characteristics of movies, characters and dialogues.
Skills: SQL

Project 2: Forecasting Australian Monthly Drug Sales

I conducted time series data analysis of Australian Monthly Drug Sales using R. Following some initial exploratory analysis and visualizations, I experimented with ARIMA, ETS, Prophet and Neural Network models and used residual diagnostics and other evaluation metrics to select the best forecast for the data.
Skills: R, Time Series Analytics

Project 3: Twitter Sentiment Analysis

In my role as Project Lead at DataRes at UCLA, I led an NLP project analyzing sentiments of tweets related to the BLM movement. I employed a Naive Bayes model and Hugging Face pipelines in Python to classify tweets into sentiments. Analyses, visualizations and the results of the model are showcased in the Medium article linked above.
Skills: Python, R, Machine Learning