Resume

Experience

Formulated predictive models, notably a robust linear regression model, to furnish actionable insights on share price trends.
Engineered a dynamic bond recommendation system through a comprehensive analysis of client profiles and holdings, amplifying the quality of customer investment choices. Beta testing demonstrated a favorable success rate of 60%.
Employed Python dashboards to detect and mitigate customer onboarding hurdles, leading to a streamlined registration process and reducing customer onboarding time by 30%.

Created a multi-linear regression model in Python, utilizing Jupyter Notebook, for the purpose of forecasting future pricing of pre-owned vehicles.
Executed predictive analysis employing various forms of linear regression within the Python programming environment to anticipate the forthcoming values of used cars, yielding an impressive accuracy rate of 85%.
Generated comprehensive graphs and visuals using Power Bi to address 15 distinct problem statements posed by the company.

2021-2023

2018-2021