Shipra Sinha

Project description:
Organization wide program directed at lowering frequency and magnitude of errors in deliveries within different teams.

Role:
Shipra volunteered to lead this program for her team of 15 people, including Apprentice Leader, Team Lead, Decision Scientists and Trainee Decision Scientists. She was responsible for coordinating regular meetings where all team members were provided a platform to acknowledge their errors and grievances in a constructive environment… Show more

Project description:
Organization wide program directed at lowering frequency and magnitude of errors in deliveries within different teams.

Role:
Shipra volunteered to lead this program for her team of 15 people, including Apprentice Leader, Team Lead, Decision Scientists and Trainee Decision Scientists. She was responsible for coordinating regular meetings where all team members were provided a platform to acknowledge their errors and grievances in a constructive environment.

Outcomes:
1. 30% decrease in errors
2. Improvement in quality of deliverables
3. Identification of frequent errors and their driving reasons
Show less

Description:
Release of update for a popular workout training app of a Fortune 100 sports retail client in 2016

Technology:
SQL, Python, Hadoop, Omniture - Adobe Analytics, Sitecatalyst, Microsoft Excel, Microsoft Power Point

Role:
1. Data engineering: Discovering and mapping source for capturing various features on the App such as workout names, workout duration, friends, goals, shares, comments, likes, features
2. Optimize App metric capture
3. Identifying… Show more

Description:
Release of update for a popular workout training app of a Fortune 100 sports retail client in 2016

Technology:
SQL, Python, Hadoop, Omniture - Adobe Analytics, Sitecatalyst, Microsoft Excel, Microsoft Power Point

Role:
1. Data engineering: Discovering and mapping source for capturing various features on the App such as workout names, workout duration, friends, goals, shares, comments, likes, features
2. Optimize App metric capture
3. Identifying important metrics that should be regularly monitored
4. Design of monthly report for the App for Board of Directors, geographically distributed across Asia, North America and Europe
5. Automation of monthly report for the App
6. Analyze consumer sentiment for update Show less

Project Description:
Frozen food company home delivered/ visited to its customers every two weeks. Company ran program to schedule customers to be serviced every week. However, this model required revamping for the following reasons:
1. Competition with giants like Amazon who deliver frozen food faster
2. Low conversion rates
3. Scope to optimize and reduce route representatives' hours
4. Scope to reduce operational costs such as truck maintenance… Show more

Project Description:
Frozen food company home delivered/ visited to its customers every two weeks. Company ran program to schedule customers to be serviced every week. However, this model required revamping for the following reasons:
1. Competition with giants like Amazon who deliver frozen food faster
2. Low conversion rates
3. Scope to optimize and reduce route representatives' hours
4. Scope to reduce operational costs such as truck maintenance, fuel

Technology:
SAS

Role:
1. Researching home delivery business models to understand factors affecting them
2. Identify appropriate schedules for each customer by segmenting the customer base depending upon their buying characteristics such as buying frequency, basket size, average basket value, relapse
3. Automate customer scheduling model for weekly run
4. Test the model against actual sales for three month
5. Deployment and maintenance of model
6. Enable clients to independently work with the model through effective knowledge transfer Show less

Project Description:
Fortune 100 sport retail client has health, social and commercial apps to encourage consumer fitness and engagement with the company. Consumer Knowledge team at Mu Sigma works on maintaining, reporting and analyzing the performance of these apps at an almost real-time level and help the company leverage these insights and reports to make better decisions about product, consumer engagement and marketing campaigns, operations.

Technology:
SQL, Hadoop, DCBI… Show more

Project Description:
Fortune 100 sport retail client has health, social and commercial apps to encourage consumer fitness and engagement with the company. Consumer Knowledge team at Mu Sigma works on maintaining, reporting and analyzing the performance of these apps at an almost real-time level and help the company leverage these insights and reports to make better decisions about product, consumer engagement and marketing campaigns, operations.

Technology:
SQL, Hadoop, DCBI, Omniture - Adobe Analytics, Sitecatalyst, Sprinklr, Python, Microsoft Excel, Microsoft Power Point

Role:
1. Identifying metrics that help measure effectiveness and performance of supporting health, social and commercial apps on a product based company
2. Monitoring and reporting of performance of the popular Running and Workout training apps
3. Analyze effect of these apps on consumer engagement with the company such as consumer acquisition and retention, consumer sentiments, buying behavior
4. Discover data capture discrepancies, report and support their correction Show less

Project Description:
Frozen food company's business model involves home delivery and sales visits to its customers every two weeks. Company runs Out of stock model at the beginning of every week to predict SKUs at a delivery truck and route day level based on route potential, product popularity at route and day level (considering seasonality), category popularity at route and day level (considering seasonality)

Technology:
SAS

Role:
1. Monitor the model for insights and… Show more

Project Description:
Frozen food company's business model involves home delivery and sales visits to its customers every two weeks. Company runs Out of stock model at the beginning of every week to predict SKUs at a delivery truck and route day level based on route potential, product popularity at route and day level (considering seasonality), category popularity at route and day level (considering seasonality)

Technology:
SAS

Role:
1. Monitor the model for insights and discrepancies
3. Enable the clients to run and maintain the model in the future by effective knowledge transfer Show less