Jacob Joseph Email & Phone Number

United States

Correlaid provides an innovative skilled-volunteering solution. Through our decentralized network of skilled data scientists we help NGOs and non-profit mission-driven organizations to fully apply the potential of advanced data analysis and data science within their field of work. As a member of core team I help and facilitate data science projects for.

San Francisco Bay Area

• Led & collaborated with a team of 80 individuals spanning across 7 geographies in 4 countries to develop analytics tools and services to support live game operations.
• Developed scalable strategic OKRs, while keeping in mind the capabilities of the central analytics team and the needs of individual game teams.

• Leveraged advanced analytics methodologies to develop Key Performance Indicators (KPIs) and metrics that served as early performance indicators on game health.
• Focused on identifying game mechanics where personalization of the game experience will drive additional growth in both retention and revenue for the game studio.

Bengaluru Area, India

• Led the creation of Zynga’s analytics team in India, which included building the team of 15 and establishing the team's structure, goals, and responsibilities.
• Implemented & shared project management frameworks for the analytics team which brought clarity around the volume of work as well the status of various projects.

San Francisco Bay Area

• Analyzed the ad monetization business and developed linear and nonlinear optimizations for ad pricing to increase revenue.
• Bridged the gap between central analytics function and game teams to help implement new analytical tools and advanced methodologies to help implement scalable solutions.

Greater Boston Area

• Iterated to an optimized email content set by serving the customer relevant information on jobopportunities, thereby driving up engagement, which results in revenue generation.
• Modeled behavioral algorithms by demographic segmentation to optimize for high positive engagement with the emails sent. This helps in increasing email deliverability and therefore a higher CTR.
• Performed split tests to iterate to a better site and email content experience by using value per arrival as a key metric to optimize content and site layout.

Boston

• Performed split test analysis between different marketing strategies and tested their statistical significance which identified the best strategy to maximize retention of the customer.
• Modeled a multimedia attribution model to accurately evaluate the gross profit point of products which are used as threshold values in the acquisition of customers through on-line advertisements.
• Performed analysis on refund strategies implemented in order to identify an optimal strategy to maximize net revenue in a subscription based business model.

Greater Boston Area

Master's program in Operations Research at Northeastern University

• Secondary Research and Mixed Integer Model Development: Researched journals and articles to collect relevant data that was necessary to test and derive a solution based on a mixed integer programming model which was.
• Process Optimization: The mixed integer programming model was used to optimize the spraying strategy used to control the spread of West Nile disease in the state of New York.
• Analysis and Implementation: Developed actionable results that prevented unnecessary expenditure with the implementation of this spraying methodology.

• VP of NUGCC October 2010
• Organized the first case competition that was held at Northeastern University in April of 2011.
• Created an environment where students could share ideas and solutions on various case studies that were being discussed in our meetings.
• Organized and invited professors and people from the industry to share their knowledge at our meetings to give us a better understanding on the topics of finance, marketing, operations and economics.

• Primary and Secondary Research: Researched journals, articles, interviewed doctors and formed correlations to populate the Markov model with data which was used to calculate the cost-effectiveness of a cardiovascular.
• Probabilistic Analysis using Markov Chains: Performed various probabilistic sensitivity analysis using TreeAge, which showed us that this plan will be extremely cost-effective because of the low drug costs in the.

• Market Assessment: Identified an untapped market where production of dried fruits using solar/biomass dryers would supplement the income of the rural population in the region.
• Market strategy: Established the production and supply of solar/biomass dryer, thereafter developed a marketing strategy to produce dried fruits with a local organization that had an established supply chain of similar.
• Business Model Implementation: Commercialized the production of the dryer and dried fruits, thereby creating a new and sustainable revenue and employment opportunity for the indigenous population; this required a.

Master Of Science, Operations Research

Related coursework: Probability and Statistics, Deterministic and Probabilistic Operations Research

Be, Mechanical Engineering

Graduate First Class with Distinction. Related course work : linear programming.

Education record

Icse