After a successful stint at Credit Suisse, I have joined Financial Market Advisory team at BlackRock. I would lead the Analytics projects across capital markets, insurance, and sustainability advisory businesses. Excited to learn leveraging the flagship Aladdin platform for delivering cutting edge solutions for the esteemed clients. My passion is understanding the application's need and what business problem it is going to solve which sets the purpose for collaborative work. Precisely the reason I am a crossover of tech meets business. A software professional passion to write a modular well tested code. I have worked with some of the smartest users in the industries - traders, compliance officers, back-office accounting and operations teams who have helped me look far beyond just technical aspect of the required solution. I have a complete experience in major DevOps tools and an end-to-end experience in SDLC. Mission statement: To contribute in the field of predictive analytics by leveraging the fundamentals of Statistics and Probability Theory and Machine Learning. Having completed numerous projects in Python and credible certifications in Data Science, I felt re-learning it from the top-notch faculty at MIT hence I am pursuing MicroMasters in Statistics & Data Science at MITx - it is equally rigorous & comparable to the on-campus course. I have worked with the start-up (have secured the seed funding) to build a recommendation engine to recommend top peers having the relevant skills the user is looking for. Specialties over the years of experience: Building high-performing team (lateral & campus hiring), Analytical reporting, Complex Data Pipelines, Platform integration with large proprietary & 3rd party systems (VPM, CRD, Paladyne Sec Master), Application design in C#.net, Event-Driven solution using WPF (MVVM), Service Oriented Architecture using WCF, Data access layer using EntityFramework, Test-Driven Development, Writing business logic, Interacting with upstream & downstream systems, Logging.