A Data Science professional with 10 years of experience conceptualizing, developing and delivering data-based solutions across domains to include FinTech, Energy, Healthcare, Marketing and Advertising. Strong experience in leading teams with expertise in Machine Learning, Deep Learning and various other analytical and statistical techniques.
As part of GE Global Research, I had the opportunity to collaborate with various other GE Businesses like Power, Renewables, and Healthcare to solve challenging business problems using data.
During my stint at Epsilon, I led a data science team to develop algorithms around content analysis, consumer perception and audience identification for several client brands.
At Kabbage, a fast-growing FinTech company, I lead a team of data scientists to build solutions around credit risk, fraud and consumer insights.
Natural Language Processing (NLP)
3 - 5 yrs
1 - 3 yrs
Amazon API Gateway
AUC - ROC
Kolmogorov Smirnov Chart
ML Model Deployment
Career Journey (9 yrs 11 mos)
I am motivated by Knowledge and Uniqueness, I work in Reflective and Outgoing ways, and my ideal work allows forStructure and Working with People
Continuous improvement is important for maximizing potential. Situations that involve interactions with experts and mentors, in addition to more traditional learning experiences, can feed the drive to develop both personally and professionally.
Responsibility is earned through trusting relationships and increasing competence. Technical skills are not enough; acting with integrity, high standards and following through are often just as important.
Doing different and interacting with different people makes life interesting. Getting involved in a project outside of the day-to-day routine is one strategy for maintaining variety.