I am passionate about using data to translate real world high impact problems into rigorous data science based solutions. I have over 4 years of experience in data science and analytics at Olacabs (Uber's largest Indian competitor). I did my master's in Data Science from the University of Michigan-Dearborn. My work mostly involved predictive modeling, non-linear large scale optimization, creating data pipelines and customer segmentation. As part of my research assistantship, I also worked on reducing the effects of processing latency via deep learning models in autonomous driving.

Machine Learning: Classification, Regression, Anomaly Detection, Unsupervised Learning, Statistical Modeling, Big Data ecosystem

Deep Learning: Computer Vision, NLP, Transfer Learning, Pretrained language models

Data Visualization: Matplotlib, Seaborn, Altair, Tableau

Experimentation: A/B testing, Experiment design, Statistical significance tests

Python, Spark, Pandas, Scikit-learn, Statsmodels, SparkML, SQL, Hive, Matplotlib, Tensorflow, Numpy, Linux/Unix, OpenCV, Jupyter Notebook, Git