Zuhaib Irshad Parray

Analytical Risk Investigator with over 4 years of total experience equipped with in-depth understanding of financial risks associated with range of organizational actions. Focused on helping clients limit or balance risk against reward for optimal decision-making. Easily handles complex data to understand potential impacts, break down risk and develop recommendations.

Buddy Program, Amazon, 04/2021, 04/2022

Analyzing & Characterizing queries raised by the investigators, creating weekly & monthly reports., As a mentor in the Buddy Program, I had the opportunity to guide BQ investigators, and I am proud to say that our efforts resulted in a significant 60% reduction in defects during the planning stage. Additionally, investigators I mentored were able to successfully progress out of the planning stage, indicating the effectiveness of the mentorship program.

Estimating used car prices, IBM Skill Network, 02/2024

In this project, learn about an example around estimating used car prices, that I analyze in using Python. We used various Python packages to perform data cleaning, exploratory data analysis, model development and model evaluation as result I was able to predict the price of used cars based on the different features.

Customer Churn Analysis- Power-BI, Cloudy ML Power-BI project, 01/2024

This Power BI project reveals regional customers' product sales and profits. We use it to analyze regional business growth across geographies to gain valuable insights and distribute profits among customers. In the analysis overview page, we have use Combo Charts, Cards, Bar Charts, Tables, or Line Charts; for the customer segmentation page, and have employ Column Charts, Bubble Charts, Point Maps, Tables, etc.

Airport Authority Data Analysis, Cloudy ML Power-BI Project, 02/2024

This Power BI Project provide a clear picture of all the significant airport data. The total number of flights (incoming and departing flights), the total number of flight delays (arrivals and departures), ground processing time, and the passenger feedback section is all included in the summary page of this project's dashboard.