Motivated data science enthusiast with a passion for handling large datasets, conducting exploratory data analysis, and deploying machine learning algorithms for diverse applications like sentiment analysis, spam filteri…
Motivated data science enthusiast with a passion for handling large datasets, conducting exploratory data analysis, and deploying machine learning algorithms for diverse applications like sentiment analysis, spam filtering, medical diagnosis, and more. A keen learner committed to extracting valuable patterns from data and driving data-driven insights to solve real-world challenges.
Worked with large datasets comprising of User Subscription details, Watch history data, ad campaigns including timestamp and demographic data coming from different datasources GA4, Clevertap etc.
Monitored and analyzed user engagement metrics such as active users, session duration and content consumption patterns to identify trends and opportunities for improvement.
Analysed and visualized payment data from Juspay, SSL Commerz, Stripe using Power BI.
Analyzed AV1 supported device data and DRM levels using Python API integration for Firestore to visualize the distribution of different supported devices.
Worked with Customer Support team to analyze negative reviews on Playstore from Playstore Console, providng insights for app improvement and enchament and succesfully took app rating to 4.1
Using Amazon Personalize to provide personalized content recommendations (recommendation system) for our OTT app(Ongoing).
Predicted possible number of premium subscribers from existing signed up users.
(Additional) Assisted in TechOps, coordinating app releases and QA testing with developers.
Worked with large datasets comprising of user subscription details, watch history data, ad campaigns including timestamp and demographic data coming from different datasources GA4, Clevertap etc.
Monitored and analyzed user engagement metrics such as active users, session duration and content consumption patterns to identify trends and opportunities for improvement.
Analysed and visualized payment data from Juspay, SSL Commerz, Stripe using Power BI.
Analyzed AV1 supported device data and DRM levels using Python API integration for Firestore to visualize the distribution of different supported devices.
Worked with Customer Support team to analyze negative reviews on Playstore from Playstore Console, providng insights for app improvement and enchament and succesfully took app rating to 4.1
Using Amazon Personalize to provide personalized content recommendations (recommendation system) for our OTT app(Ongoing).
Predicted possible number of premium subscribers from existing signed up users.
Assisted in TechOps, coordinating app releases and QA testing with developers.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
