This is Bharadwaj, I am currently a graduate student at The University of Chicago.

My professional profile is available on LinkedIn, feel free to connect with me.

Prior to my master's, I have worked as a Sr. Business Analyst for over 3 years at Mu Sigma Inc. During my time at Mu Sigma, I was responsible for advising one of the world’s largest sportswear and fashion retailer to better strategize decision making and achieve business outcomes by providing data-driven and analytical solutions. I have experience working on a varied range of projects starting with ad-hoc reporting, business analysis, predictive modeling, formulating analytical roadmaps and implementing the same.

Currently, I study various aspects of machine learning and deep learning. My capstone project deals with resolving healthcare problems using self-supervised learning.

I also enjoy mentoring my teammates and colleagues. Until now I’ve mentored around 1500+ new joiners at my previous company by conducting SQL induction sessions.

My skillset includes:

• Programming Languages: Python, R, SQL

• Modeling techniques: Supervised Learning, Unsupervised Learning, Dimensionality Reduction (PCA, t-SNE), Time Series Analysis, Deep Learning

• Big Data Tools and Platforms: Hadoop, Hive, Spark, GCP, AWS

• Deep Learning Libraries and Platforms: TensorFlow, Keras

• Other: Docker, Neo4J, MongoDB, Tableau, GitHub, JIRA

Reach me at [email protected]