Experience

TheFork, a Tripadvisor company

• France
• Technology, Information and Internet
• 700 & Above Employee

• Senior BI Engineer

  • Jan 2023 - Present



Vestiaire Collective

• France
• Retail Apparel and Fashion
• 500 - 600 Employee

• BI Engineer

  • Aug 2021 - Jan 2023

• BI Engineer

  • Feb 2021 - Jul 2021



Groupe PSA

• France
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Data Science Intern

  • Jun 2020 - Aug 2020

  • Data Scientist for a Time Series Forecasting project. • Used different techniques for time series forecasting in Python, such as ARIMA / SARIMA, traditional machine learning techniques such as random forest regressors and LightGBM, and libraries such as Facebook Prophet and tsfresh to compare and contrast forecasting results. • Added additional regressors for exceptional events such as COVID-19 lockdown and its effects on the forecast. • Then, the results were… Show more • Data Scientist for a Time Series Forecasting project. • Used different techniques for time series forecasting in Python, such as ARIMA / SARIMA, traditional machine learning techniques such as random forest regressors and LightGBM, and libraries such as Facebook Prophet and tsfresh to compare and contrast forecasting results. • Added additional regressors for exceptional events such as COVID-19 lockdown and its effects on the forecast. • Then, the results were pipelined to a database which was connected to Power BI to visualize the results alongside a traditional descriptive analytical dashboard on Power BI. Show less • Data Scientist for a Time Series Forecasting project. • Used different techniques for time series forecasting in Python, such as ARIMA / SARIMA, traditional machine learning techniques such as random forest regressors and LightGBM, and libraries such as Facebook Prophet and tsfresh to compare and contrast forecasting results. • Added additional regressors for exceptional events such as COVID-19 lockdown and its effects on the forecast. • Then, the results were… Show more • Data Scientist for a Time Series Forecasting project. • Used different techniques for time series forecasting in Python, such as ARIMA / SARIMA, traditional machine learning techniques such as random forest regressors and LightGBM, and libraries such as Facebook Prophet and tsfresh to compare and contrast forecasting results. • Added additional regressors for exceptional events such as COVID-19 lockdown and its effects on the forecast. • Then, the results were pipelined to a database which was connected to Power BI to visualize the results alongside a traditional descriptive analytical dashboard on Power BI. Show less



Engro Corp

• Pakistan
• Chemical Manufacturing
• 700 & Above Employee

• BI Analyst

  • Apr 2018 - Sep 2019

  • Delivered 14 projects in FY18, accelerating the pace of delivery of BI projects from previous year. Introduced mandatory requirement analysis for each project, as well as project documentation (such as schedule) and communication plan for stakeholders and line manager. • Implemented Qlik NPrinting for automation of email-based reporting in Engro Polymer & Chemicals Ltd (EPCL) and Sindh Engro Coal Mining Company (SECMC). • Implemented Qlik Sense Server which centralized the… Show more • Delivered 14 projects in FY18, accelerating the pace of delivery of BI projects from previous year. Introduced mandatory requirement analysis for each project, as well as project documentation (such as schedule) and communication plan for stakeholders and line manager. • Implemented Qlik NPrinting for automation of email-based reporting in Engro Polymer & Chemicals Ltd (EPCL) and Sindh Engro Coal Mining Company (SECMC). • Implemented Qlik Sense Server which centralized the administration of and development in Qlik Sense with Engro Corp IT, as opposed to an external vendor. • Helped establish BI team within Sindh Engro Coal Mining Company (SECMC). Trained 28 developers, increasing the capability and skill in a 3-day training for data-modelling and dashboarding in SECMC, Thar. Show less • Delivered 14 projects in FY18, accelerating the pace of delivery of BI projects from previous year. Introduced mandatory requirement analysis for each project, as well as project documentation (such as schedule) and communication plan for stakeholders and line manager. • Implemented Qlik NPrinting for automation of email-based reporting in Engro Polymer & Chemicals Ltd (EPCL) and Sindh Engro Coal Mining Company (SECMC). • Implemented Qlik Sense Server which centralized the… Show more • Delivered 14 projects in FY18, accelerating the pace of delivery of BI projects from previous year. Introduced mandatory requirement analysis for each project, as well as project documentation (such as schedule) and communication plan for stakeholders and line manager. • Implemented Qlik NPrinting for automation of email-based reporting in Engro Polymer & Chemicals Ltd (EPCL) and Sindh Engro Coal Mining Company (SECMC). • Implemented Qlik Sense Server which centralized the administration of and development in Qlik Sense with Engro Corp IT, as opposed to an external vendor. • Helped establish BI team within Sindh Engro Coal Mining Company (SECMC). Trained 28 developers, increasing the capability and skill in a 3-day training for data-modelling and dashboarding in SECMC, Thar. Show less



K-Electric

• Pakistan
• Oil and Gas
• 700 & Above Employee

• Analyst

  • Feb 2016 - Mar 2018

  • Developed a warehousing solution for KE Smart Grid project, which generated 24 million rows per day, providing visibility of data through Qlik which had no visibility since its implementation in 2012. • Developed a smart and sophisticated customer profiling mechanism in Qlik based on billing and recovery of 2.5 million consumers over the period of 3 years, totaling more than 100 million rows. • Integrated data from multiple disparate sources, such as SAP CRM, SAP ISU, MS… Show more • Developed a warehousing solution for KE Smart Grid project, which generated 24 million rows per day, providing visibility of data through Qlik which had no visibility since its implementation in 2012. • Developed a smart and sophisticated customer profiling mechanism in Qlik based on billing and recovery of 2.5 million consumers over the period of 3 years, totaling more than 100 million rows. • Integrated data from multiple disparate sources, such as SAP CRM, SAP ISU, MS SharePoint and internet APIs to display on a singlepage dashboard for C-Level leadership reporting. • Automated email-based pulse reports for Customer Service department via Qlik NPrinting. • Automated month-end closing which previous took a total of 72 hours for IT-Analytics team to run manually. After the automation, the process took 24 hours to run without human intervention.

• Management Trainee Officer

  • Feb 2015 - Jan 2016