• utilize marketing mixed modeling (MMM) to optimize conversion by 20% monthly by allocating the recommended budget to the appropriate source and campaign type.
• Predict customer demand based on historical prices and proposed an optimal price that maximizes demand monthly.
• Use random forest and deep learning on a re-structured dataset (feature-engineered additional variables) to improve the performance of an existing churn model.
• Utilize a model-based attribution algorithm to attribute which touchpoints (ads seen) are driving conversion.
• Use NLP to analyze transcript calls to determine optimal calls and what to say and not to say to improve students' program participation.
• Conduct multi-level A/B testing on different ad set to optimize ad-campaign; thereby, increasing leads and conversion.
• Used regression analysis with time series cross validation in addition to funnel shape analysis to estimate into course demand.
• Complete various ad-hoc data analysis projects revo

• Complete various freelance data science projects whenever time permit to test and improve my ability to use machine learning to solve problems in any industry and setting.

Leverage expertise with natural language processing to identify user pain points and keywords to help us improve customer experience with our in-app services. Perform extensive multi-level A/B testing, randomized control trials, and other experimental
designs to infer the impact of media outlets in our lower funnel initiative comprised of measuring activation rate and conversion rate. Utilize knowledge of time-series predictive analysis to project activation, conversion, and various KPI metrics.
• Collaborate with customer-facing teams, facilitating clustering of data using machine learning algorithms to effectively target quality users and create users' persona.
• Build an in-app service recommendation system that shows products likely to be useful to the customer.
• Generate SQL queries resulting in improved visibility of business KPIs for stakeholders.
• Design a bi-weekly marketing scorecard in coordination with a third-party agency to outline metrics based on funnel, channel,

Produced SQL queries utilizing SQL Server Management (SSM) to initiate data insights across five divisions encompassing 100+ employees. Authored Tableau reports to maintain business continuity within cross-functional departments such as Marketing, Admissions, Finance, and Accounting. Aligned Tableau reports data with SQL data through the execution of test operations. Contributed to the identification of revenue growth opportunities through detailed review and analysis of sales performance, highlighting key partners and seasonal factors.
• Transformed outdated processes, acting as a key player in software migrations and automation of manual procedures to enhance productivity and efficiency.
• Utilized collaborative filtering to find similarity between students that was used for target marketing.
• Applied K-means clustering to our students' data resulting in segmenting our users into 3 college tiers category.
• Implemented a classification model aimed at understanding factors leadin

Procured data from well-known sites including Wikipedia employing Python to feed data into the main Excel spreadsheet.
• Worked alongside postdoctoral fellow to execute classification focused on analyzing factors leading faculties to
securing a Nobel Prize.

Effectively assisted with data migration utilizing ETL method from numerous databases to a centralized platform enabling a reduction in downtime and workflow improvements.
• Enriched data reliability through conversion of redundant database jobs to enterprise jobs.
• Achieved data accuracy throughout periods of transformation and quality checks by querying SQL commands in Toad.
• Migrated data from Development to production for use in data analytics for the data reporting team.
ADDITIONAL PROFESSIONAL AND INTERNSHIP EXPERIENCE

• Successfully automated Caesar navigation processes for system analysts to evaluate and inspire sound decisions to
improve the end-user experience.

• Drove enhancements in label rental delivery processes for customer base, creating automation for label development processes from SQL server to Excel, reducing queuing time and increasing precision of labeling functions.
• Mentored and coached two work-study students on fulfilling deliverables defined by the Program Manager, resulting in double the servicing speed.

• Architected multilinear regression model using
● forecasting expected salaries based on numerous factors to serve as a standard for long-term salary negotiations.
• Used excel to perform some cost and revenue modeling for the finance department.