Data Analytics Engineer Lead
CurrentMain responsibilities:- Worked as an Data Analytics Engineer in a key role developing ad users segment system, including Identify users, Mapping users, Demographic, and Interest to optimize advertising strategies and audience targeting.- Collect and analyze user activity data across partners' platforms, including OTT, Transportation, Medicine, Publisher, Telecommunication, Banking, E-commerce,...- Work as an Data Engineer by assisting the data science team by developing API get tags and weight of film and implement output for Recommendation System (combine algorithms output with business logic) for building and serving Recommendation - Worked as an Data Scientist on OCR - Convert a list of PDF file to Dataframe to help business team audit the ads cost on Facebook; Crawl and Extract keywords from Publisher; Look-alike model to expand the size of users segment and predict demographic of users - Lead and manage a team of 5 members (DAE + DE + 2 BI)Achievements:- Segment 100+ million users per day into more than 200 segments - Process billions logs per month- Reduce time audit manual by auto extract information in PDF file by 90%.Technologies used:- Python, Shell Script, Hadoop, Apache Airflow, Apache Hadoop, Apache Spark, Jupyter Notebook, Apache Superset, MongoDB, Postgres, S3, Gitlab, Segment iAB, word_tokenize, Cosine similarity, Beautiful Soup