My Projects

I've been focusing my master's studies in data science & machine learning. Within current academics, I've mastered various advanced techniques of advanced-analytics & predictive modeling using various machine learning algorithms. I've been using these techniques in different environments such as R, Python, Spark, SparkNLP, etc. I'm also currently working on some cool projects aiming to understand deployment strategies for these machine learning models.

Being a Marketing Analyst, I've been watching sales & marketing data in action for the past few months. My current academics has instilled in me a more refined understanding of advanced techniques to understand marketing mix data, sales data, & customer review data for aiming coherent succinct business growths.

During the course of my academics, I once came across the choice of picking a new domain to explore analytics opportunities in. And while studying various prospects, the variance in United State's healthcare data caught my interest. This sojourn of mine is successfully satiating my thirst for applying analytics to a wide range of data like; natural text, time-series data (insurance claims data), & routine patient-level data (EHR data).

I love working on Finance data because they can efficiently reflect sets of information related to the financial health of an organization (business or a nation). The vectorized nature of this data ( time-series ), allows me to apply various statistical operations to understand future forecast for the vector as well as any anomaly possibility in the historical trend. Also, who would've thought that one day we'd be applying CNNs (convoluted neural nets) to these age-old data types!