09/06/2022 updated
100 % available
Data Scientist
Lahore, Pakistan
Pakistan
BS Electronics EngineeringIBM certified Data Scientist. Working as a Data Scientist at Systems Limited. Overall, three and a half years of experience in Data Science and Artificial Intelligence.
Programming: Python, SQL, JavaScript, R, HTML, CSS
Software: MySQL, Jupyter Notebook, IBM Db2, SQLite, Anaconda, Visual Studio Code, AWS, Azure
Excellent technical, interpersonal and analytical skills with the ability to work effectively as a team and lead projects successfully.
Programming: Python, SQL, JavaScript, R, HTML, CSS
Software: MySQL, Jupyter Notebook, IBM Db2, SQLite, Anaconda, Visual Studio Code, AWS, Azure
Excellent technical, interpersonal and analytical skills with the ability to work effectively as a team and lead projects successfully.
Languages
EnglishNative speaker
Project history
• 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%.
• Completed a POC regarding establishing an IOT platform, from data retrieval to publishing data on customizable, interactive dashboards.
• Also developed a Web Application for IOT workflows using Python, HTML, CSS and JavaScript.
• Model being used is Random Forest with stratified split and mixed data, with test set accuracy of 95%.
• Completed a POC regarding establishing an IOT platform, from data retrieval to publishing data on customizable, interactive dashboards.
• Also developed a Web Application for IOT workflows using Python, HTML, CSS and JavaScript.
* Defining strategies for optimizing agent-caller pairs
* Data cleansing and analysis for pattern recognition and growing or diminishing trends based on groups of data
* Analyzed incoming data sources to measure their quality for optimization by running time-series,
randomand K-fold validations
* SQL/MySQL processes for globally monitoring clients' runtime and historical performance
* Data cleansing and analysis for pattern recognition and growing or diminishing trends based on groups of data
* Analyzed incoming data sources to measure their quality for optimization by running time-series,
randomand K-fold validations
* SQL/MySQL processes for globally monitoring clients' runtime and historical performance