Asad A.

IBM certified Data Scientist. Working as a Data Scientist currently. Established a pricing engine for Vavacars that predicts the purchasing offer made to customers willing to sell their used cars. Model being used is Random Forest with stratified split and mixed data, with test set accuracy of 95%. Processed data incorporates K-Prototype, an unsupervised clustering algorithm, in order to create meaningful clusters to improve model accuracy. Also developed an Admin Portal to view important market data reports as well as established a database for storing all scraped data. Experienced in managing, analyzing, extracting information, and identifying trends in large data sets of various International clients and public databases Developed predictive models using different regression techniques and innovative ideas to optimize the call center interactions between customers and agents Analyzed incoming data sources to measure their quality for optimization by running time-series, random and K-fold validations Analysis of 3rd party data on Vodafone to filter valuable variables by measuring variation in conversion rates, call volumes and time-dependent correlations