Shivam Acharya Email and Phone Number

Deployed multiple ML model pipelines and frameworks, consisting of over 35 models, to address the dynamic needs of churn and Up-sell for a major telecom provider.Demonstrated in-depth expertise in tackling imbalanced classification problems, ensuring precise and reliable predictive analytics.Developed AI-driven customer persona segments for a vast customer base of 70M+, enhancing targeted marketing and customer retention strategies.Collaborated with cross-functional teams to… Show more Deployed multiple ML model pipelines and frameworks, consisting of over 35 models, to address the dynamic needs of churn and Up-sell for a major telecom provider.Demonstrated in-depth expertise in tackling imbalanced classification problems, ensuring precise and reliable predictive analytics.Developed AI-driven customer persona segments for a vast customer base of 70M+, enhancing targeted marketing and customer retention strategies.Collaborated with cross-functional teams to implement data-driven solutions, resulting in significant improvements in customer engagement and revenue growth.Maintained ETL Processes to measure and track model accuracy and it's respective campaign performance.Deployed Control & Target Groups for Accurate Revenue Tracking of Campaigns driven by AI-ML Models.Worked on Sentiment Analysis and Summary Generation for Telecom Customer using LLMs + Azure Cloud Complaints to support Short Term Churn Models Show less

Underwent rigorous 5-month training to master AI-ML development workflows for the dynamic and ever-changing telecom industry.Worked on a 360-degree customer analytical records database to track daily KPIs and demographic data of the customer base.Deployed a monthly revenue prediction model for an active prepaid customer base of 60M.

Developed a facial recognition-based crowd management application capable of learning and tracking faces and features after recording an initial 30-second video.Leveraged Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) model techniques to enhance accuracy and performance.Utilized OpenCV for implementation and optimization of the application.