Luqman Godil

Experience

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  EY

  Jul 2018 - Aug 2018

  Audit Intern
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  Starcom

  Aug 2019 - Apr 2020

  Management Trainee : TV and DIGITAL

  • Facilitated multiple clients in the strategy formulation for two of their primary advertising mediums, TV and Digital. • Prepared optimized TV plans for multiple campaigns using past TV rating data resulting in 3-5% reduction in cost per rating point (CPRP) for various clients and successful achievement of TV ratings target. • Ran and optimized multiple digital campaigns for two of our major clients on Google, Facebook, and YouTube. Major functions included continuous monitoring and optimization of active campaigns.• Prepared the digital plan for Q2 2020 for all active brands of Mondelez Show less

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  Afiniti

  Jun 2020 - Dec 2022

  • Analyzed call center data and based on that built and maintained AI models using different machine learning algorithms, that were deployed in the clients call centers, directly determining how pairing was done. • Performed modeling, feature engineering and modeling pipeline development for a new architecture on three clients: O2 (UK), worked from Bermuda on Afiniti’s biggest client AT&T (USA), and Virgin Media (UK). • Developed a churn model in Python that predicted the churn scores of callers based on their characteristics at runtime. • Developed production monitoring and gain debugging dashboards using R Markdown, making it extremely efficient to identify anomalies in the production environment, and helping in analyzing model health and performance.• Theory used: Bayesian Statistics; 1 & 2 parameter logistic models (Item Response Theory models); MCMC estimation Show less

  • Data Scientist II

    Feb 2022 - Dec 2022

  • Data Analyst - Artificial Intelligence

    Jun 2020 - Feb 2022
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  Careem

  Dec 2022 - Jul 2023

  Data Analyst II - Product & Marketing

  • Optimized driver acquisition, retention, and engagement in UAE and KSA markets by conducting in-depth analysis of driver app data using Python and SQL, improving driver signup rate and overall driver retention.• Designed and ran A/B testing experiments, determining metrics and KPIs, employing advanced statistical techniques to validate hypotheses, and communicating results to stakeholders for evidence-based decision making.• Developed a comprehensive dashboard to quantify driver acquisition channel effectiveness, guiding marketing and product teams to optimize spend and streamline acquisition.• Enabled timely issue identification for optimal driver experiences and maintenance of driver supply by conducting ongoing root cause analysis to identify factors for drops in KPIs. • Provided actionable recommendations to drive continuous improvement in driver overall experience; produced reports and dashboards utilizing Tableau and Apache Superset to track key performance metrics and entire product funnel.• Collaborated with cross-functional teams including product managers, engineers, data scientists, and marketing and operations personnel to identify issues, strategize, test hypotheses, design solutions, and drive product improvements. Show less