It is my strong belief that my extensive academic training, industry internship and relevant job experiences in advance Data Science with Fortune 500 companies like Visa Inc. California, Amazon.com Washington and Meta, New York have provided me with the necessary skill-set to excel in this role and I will be able to make the most of learning and development opportunities which this role will provide.
The application of analytics in mainstream business excites me, wherein I can effectively leverage data to solve critical problems of considerable complexity and create value through efficient analytics of data which ultimately drives better decisions and strategy.
In my graduate program of Masters in Operations Research from the Columbia University, New York, my coursework included business analytics, data analytics, stochastic models and optimization which greatly honed my technical and business skills. In addition, my undergraduate education in Engineering helped me build sound fundamentals in mathematics and coding. As a member of internationally recognized actuarial societies like Institute of Actuaries of India (IAI) and Institute and Faculty of Actuaries, UK (IFoA), I have completed certified courses dealing with application of statistical concepts such as Bayesian statistics, statistical modeling and stochastic models.
Currently, I am working with Meta at New York, USA as Data Scientist in the Facebook for Commerce / Monetisation.
A full stack Data Science professional specializing in quantitative modeling and deep learning AI to develop predictive products and create data-driven strategies for sustainable growth hacking and optimize customer + product life cycle management. Ideally positioned in terms of quantitative skill set, coding and business acumen to derive and deliver maximum value from enterprise data at scale.
- digital products space and pioneered machine learning implementation (1st for digital products) for data-driven strategy.
▪ Created the AI strategy and adoption road-map to pioneer AI driven decision making.
▪ Successfully conceptualized built and deployed enterprise portfolio of Machine Learning models for strategic KPI management
▪ Mentor and acting Subject Matter Expert for Machine Learning and Deep Learning
My previous work of one year in management consulting with KPMG in the data and analytics team developed strong quantitative, communication and organization skills. At KPMG, I took the initiative and assumed various responsibilities for projects and business development. I was leading the support phase of the data and analytics team’s flagship project and was also responsible for implementing change requests. Besides technical and industry knowledge, this experience also developed leadership and client management skills. Further, as a summer intern with JSW steel, I had the opportunity to carry out market analysis and research on steel consumption data to come up with business recommendations and forecasts pertaining to the automobile industry. In addition, my unique and varied industry exposure through an internship and job experience allowed me to further develop analytical thinking abilities.
My extra-curricular activities have helped me develop the ability to collaborate with a diverse group of peers and develop a strong work ethic and a commitment to teamwork – skills I know are necessary to succeed. I feel confident I can successfully accomplish any challenge associated with this position by being inquisitive, innovative and result-oriented. I appreciate your consideration of this application, and look forward to hearing from you.