Sameer Tahir

Successfully managed a team of two Business Intelligence Analysts, providing
guidance, mentoring, and fostering a collaborative work environment.
Developed a Seller Attrition model in Python and developed and executed a
retention strategy to reduce churn rate from 3.2% to 2.9% annually.
Created an in-house application in R-Shiny to inform Amazon sellers about their
operational performance, enhanci

Developed a predictive churn model to identify at-risk customers and take
proactive measures for retention, resulting in a targeted reduction of churn
from 4.6% to 4.1%.
Conducted customer segmentation and profiling for safetyculture using Python,
enabling the development of tailored strategies and action plans for different
customer segments.
Collaborated with Go to Marketing (GTM) teams to drive

Utilized feature importance and correlation techniques using Python to identify
and quantify retailer behavior, influencing vendor behavior through data-driven
insights.
Developed robust reporting mechanisms and views to ensure accurate and
comprehensive business reporting, enabling informed decision-making utilizing
Redshift and Tableau. Created a globally used competitor parity tool at Amazon

Managed and mentored a team of three data analysts, fostering a collaborative
and high-performing work environment.
Using Machine Learning to help nib identify at risk customers of a knee
replacement, which can be directed towards different health programs to help
the customers avoid the procedures and save nib $1.9 Million.
Discovered customer segments and profiled the segments using ML