Balaji I.

Balaji I.

Data Scientist and AI Solution Architect

New York , United States

Experience: 30 Years

Balaji

New York , United States

Data Scientist and AI Solution Architect

211200 USD / Year

  • Start Date / Notice Period end date: 2020-04-01

30 Years

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About Me

Accomplished Business & Technology Strategist, Professional Services Coach and Data Scientist with substantiated expertise in global healthcare, financial services, telecommunications and recruiting. Demonstrated success in working at companies at...

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Portfolio Projects

Quantify the drivers of valuation of stocks, bonds and commodities

Company

Quantify the drivers of valuation of stocks, bonds and commodities

Role

Data Scientist

Description

Conceived US entry strategy for an UK fin-tech startup.

Mediated alliance discussions with potential partners in professional network.

Recommended advanced analytics techniques to improve fair value predictions that resulted in reduction of prediction errors by 18%.

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Churn Modeling of Telecom device loans

Company

Churn Modeling of Telecom device loans

Description

Reduced device loan default estimates by 93% for a Fortune 50 telecommunications US division by identifying key

drivers that help predict defaults 60 days in advance utilizing deep learning multilayer perceptrons. Proposed

intervention programs for specific customer segments to minimize defaults in the $360MM loan portfolio.

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R&D Trial Accelerator Platform

Company

R&D Trial Accelerator Platform

Description

Enhanced Trial Accelerator Platform for clinical trials with advanced machine learning techniques that resulted in up

to 15% (36-42 months) faster patient enrollment, 10-15% reduction in clinical trial costs and up to 30% reduction in

site defaults

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Recruiting Funnel Process Optimization

Company

Recruiting Funnel Process Optimization

Description

Optimized interview to placement funnel process for a US based recruiting start-up in the technical vertical for 17+

geographical markets by identifying key predictors for candidate acceptance of interviews and client rejections that

resulted in 2.7x placements with 7% reductions in interview requests. Drafted data science programming standards in

R & python utilizing configurable regressors, classifiers and recommenders. Developed case studies for recruiting

data scientists that probed NLP and Deep Learning experience and techniques.

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