Shipra Pramanick

Data Scientist - Wireless Technology and Expansion @Rogers Communications

Toronto, ON, CA

Forecasting Traffic Volume Using Machine Learning and Deep Learning•Extract, perform exploratory data analysis (EDA), feature engineering, metric evaluation, and hypothesis testing to identify trends.•Developed baseline and dynamic forecasting models for accurate monthly and yearly predictions utilizing SARIMAX, Random Forest, XGBoost, and LSTM algorithms.Implementation of Generative AI and Large Language Models (LLMs)•Designed and integrated Retrieval-Augmented Generation (RAG) systems leveraging advanced Large Language Models (LLMs) to enhance data retrieval, contextual understanding, and decision support for internal stakeholders.•Conducted Prompt Engineering for refining queries and optimizing generative AI outputs, significantly improving accuracy and efficiency in analytical workflows.CI/CD Pipeline Management and MLOps•Assisted in implementing and managing CI/CD pipelines (using Jenkins) to automate testing and deployment processes, ensuring efficient and reliable operations.•Collaborated with AI/ML project teams to help adopt MLOps tools and standards, providing ongoing guidance and support.•Captured stakeholder feedback to continuously improve and enhance MLOps tools and functionalities, ensuring alignment with evolving team requirements.•Worked cross-functionally with data scientists, software engineers, architects, and operations teams to ensure seamless integration and operation of MLOps and LLM Ops solutions.Advanced Python Scripting for Weekly Fixed Wireless Access (FWA) Reporting•Created interactive Power BI dashboards to visualize and communicate insights to stakeholders and cross-functional national teams effectively

Loyalist College

Postgraduate Degree, AI & Data Science

International Institute of Information Technology Bangalore

Postgraduate Degree, Data Science & Machine Learning

West Bengal University of Technology, Kolkata

Bachelor of Engineering - BE, Information Technology