As a Principal Data Scientist, I have 3+ years of leadership experience and 10+ years of hands-on experience in developing end-to-end ML solutions & pipelines to address various business problems across Sales & Marketing, Customer Experience and Risk. I have a proven track record of translating data science strategy into well-defined and measurable ML roadmaps, ensuring a streamlined delivery of models, and presented to executive leadership. I collaborated with cross-functional stakeholders from product, engineering, sales, marketing, customer experience etc., to implement AI strategies seamlessly into their business workflows.
I utilized A/B experimentation to measure and continuously improve the model and business outcomes. I partnered with legal team to conceptualize, implement a Responsible AI framework and scale it across 200+ production models that upheld the company’s ethical compliance and standards.
Serving as an Adjunct Professor at Comcast Data Science Academy, I conducted AI workshops to 50+ employees and mentored 10+ analysts.
Areas of Expertise : Consumer Segmentation, Natural Language Processing, Consumer Acquisition, Product Recommendations, Risk, Churn Mitigation, Product Experience and Responsible AI.
Hands-on experience with Python, R, PySpark, SQL.
Big Data Framework: Apache Spark, Hadoop/MapReduce
Other Tools: AWS, Databricks, ML Flow, Git, Kubernetes, Tableau, SAS
Deep Learning : PyTorch, Keras, Tensorflow