Muhammed Swalih

 Assisted the corporate strategy and investor relations team to identify potential opportunities of growth by monitoring financial markets.
 Plotted finance and user cohorts to analyze the user journey and total value generated and retained.
 Evaluated user's lifetime value, CAC, and payback period to analyze the efficiency of marketing campaigns.
 Forecasted the cash flow and investment requirements by analyzing upcoming income and expenses.
 Researched companies that are potential acquisition targets (M & A analysis) to determine their potential value to the company.

Assisted the corporate strategy and investor relations team to identify potential opportunities of growth by monitoring financial markets.
Plotted finance and user cohorts to analyze the user journey and total value generated and retained.
Evaluated user's lifetime value, CAC, and payback period to analyze the efficiency of marketing campaigns.
Forecasted the cash flow and investment requirements by analyzing upcoming income and expenses.
Researched companies that are potential acquisition targets (M & A analysis) to determine their potential value to the company.

Assisted the corporate strategy and investor relations team to identify potential opportunities of growth by monitoring financial markets.
Plotted finance and user cohorts to analyze the user journey and total value generated and retained.
Evaluated user's lifetime value, CAC, and payback period to analyze the efficiency of marketing campaigns.
Forecasted the cash flow and investment requirements by analyzing upcoming income and expenses.
Researched companies that are potential acquisition targets (M & A analysis) to determine their potential value to the company.

Assisted Delivery service of the largest retail chain in the US to optimize their delivery operations and hiring process.
Forecasted the supply and demand based on which incentives for critical slots and number of drivers to be hired are recommended.
Designed and tracked various experiments and feature launches which were aimed at enhancing driver and customer experience.
Assisted their online grocery business to prevent the loss of business due to unavailability of items by introducing smart substitutions.
Analyzed various business scenarios to improve the Smart sub algorithm to increase the quality of subs offered to associates and customers.
Evaluated and brought cost of subs into overall optimization function – Cost optimization.
Evaluated associate subs and pick data to find opportunities for associate productivity and store operations improvements.
Introduced personalized subs for better customer satisfaction and experience.
Designed the entire process and user story for the Customer choice module where customers are provided an opportunity to choose their own sub.

Analyzed click stream data to improve conversion rate and prevent customer bouncing.
Through Cannibalization, Halo effect and Category uplift methods, the impact of store demo was studied on sales and customer satisfaction.
Analyzed the different aspects of their Associate training program like Academy selection, Class schedules, Academy utilizations and Assessments.
Identified the opportunities for growth for a rental company by analyzing high value customers and customer look-alikes with the help of customer segmentation.
Identified dormant customers based on transactional patterns and profiled them as part of churn analysis.
Executed the data consolidation and migration from multiple sources after performing Data cleansing and Error handling with the help of machine learning tools.

Assisted Delivery service of the largest retail chain in the US to optimize their delivery operations and hiring process.
Forecasted the supply and demand based on which incentives for critical slots and number of drivers to be hired are recommended.
Designed and tracked various experiments and feature launches which were aimed at enhancing driver and customer experience.
Assisted their online grocery business to prevent the loss of business due to unavailability of items by introducing smart substitutions.
Analyzed various business scenarios to improve the Smart sub algorithm to increase the quality of subs offered to associates and customers.
Evaluated and brought cost of subs into overall optimization function – Cost optimization.
Evaluated associate subs and pick data to find opportunities for associate productivity and store operations improvements.
Introduced personalized subs for better customer satisfaction and experience.
Designed the entire process and user story for the Customer choice module where customers are provided an opportunity to choose their own sub.

Analyzed click stream data to improve conversion rate and prevent customer bouncing.
Through Cannibalization, Halo effect and Category uplift methods, the impact of store demo was studied on sales and customer satisfaction.
Analyzed the different aspects of their Associate training program like Academy selection, Class schedules, Academy utilizations and Assessments.
Identified the opportunities for growth for a rental company by analyzing high value customers and customer look-alikes with the help of customer segmentation.
Identified dormant customers based on transactional patterns and profiled them as part of churn analysis.
Executed the data consolidation and migration from multiple sources after performing Data cleansing and Error handling with the help of machine learning tools.

 Assisted Delivery service of the largest retail chain in the US to optimize their delivery operations and hiring process.
 Forecasted the supply and demand based on which incentives for critical slots and number of drivers to be hired are recommended.
 Designed and tracked various experiments and feature launches which were aimed at enhancing driver and customer experience.
 Assisted their online grocery business to prevent the loss of business due to unavailability of items by introducing smart substitutions.
 Analyzed various business scenarios to improve the Smart sub algorithm to increase the quality of subs offered to associates and customers.
 Evaluated and brought cost of subs into overall optimization function – Cost optimization.
 Evaluated associate subs and pick data to find opportunities for associate productivity and store operations improvements.
 Introduced personalized subs for better customer satisfaction and experience.
 Designed the entire process and user story for the Customer choice module where
customers are provided an opportunity to choose their own sub.

 Analyzed click stream data to improve conversion rate and prevent customer bouncing.
 Through Cannibalization, Halo effect and Category uplift methods, the impact of store
demo was studied on sales and customer satisfaction.
 Analyzed the different aspects of their Associate training program like Academy
selection, Class schedules, Academy utilizations and Assessments.
 Identified the opportunities for growth for a rental company by analyzing high value customers and customer look-alikes with the help of customer segmentation.
 Identified dormant customers based on transactional patterns and profiled them as part of churn analysis.
 Executed the data consolidation and migration from multiple sources after performing Data cleansing and Error handling with the help of machine learning tools.