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kuri8ive/README.md

Anurag's github stats

I'm a data scientist at Media Ad Data Team, LY Corporation, specializing in advertising-related analysis for LINE NEWS and SmartCH. I aim to provide insights that balance revenue and user experience, aiding in strategic decision-making.

Recently, I've been involved in challenging projects such as optimizing advertising strategies in SmartCH and improving data engineering solutions using Airflow. I actively participate in early-stage planning discussions, providing immediate numerical data and dashboards to assist planner's decision.

Working with a diverse team of data scientists, planners, software engineers, and members from various cultural backgrounds, I continue to enhance my skills and broaden my perspective in data science.

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  1. APSEC2019Class APSEC2019Class Public

    The repository for the APSEC'19 paper, "Class Name Recommendation based on Graph Embedding of Program Elements"

    Jupyter Notebook 1 3

  2. m3dev/gokart m3dev/gokart Public

    Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

    Python 321 60

  3. Deep-Reinforcement-Learning-Hands-on-by-Minecraft-with-ChainerRL Deep-Reinforcement-Learning-Hands-on-by-Minecraft-with-ChainerRL Public

    8 2