Email: id[dot][firstnamelastname][at]gmail[dot]com | Jakarta, Indonesia
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An IT professional with more than 5 years of machine learning related work and research experience, who provides the solution for real-world problems by leveraging machine learning (search and recommendation systems).
Dinda Novitasari earned a Master degree from Department of Computer Science and Information Engineering, National Central University. At present, she is a data scientist in the telecommunication industry. Her research interests include machine learning and data mining applications.
Highly motivated and results-oriented IT professional with 5+ years of experience in machine learning research and application. Proven ability to leverage advanced techniques in machine learning, particularly within search and recommendation systems, to solve complex real-world problems. Strong academic foundation in swarm intelligence, evolutionary computation, and information retrieval. Currently contributing expertise as a Data Scientist within the telecommunications industry.
part of Digital Prodigy Team
Machine Learning, Statistical Analysis, Data Mining, Classification, Clustering
Matlab, Python
Web scraping, SQL, NoSQL, Data extraction and transformation
Project Management
AWS EC2
MySQL, Google Firebase, Hive
Hadoop, Spark, Kedro, MLFlow, Pandas, Scikit-Learn, NLTK, Spacy, Gensim, Elasticsearch, Logstash, Flask, Redis, Celery, xgboost, SQLAlchemy, Dash
Nginx, supervisord, Jenkins, Docker
MS in Computer Science and Information
Engineering (2016-2018) - 3.88 of 4.00
Supervised by: Prof.
Deron Liang
Related courses: Machine Learning (96/100),
Introduction to Data Science (90/100),
Data Mining on Biological Data (91/100),
Intelligent Surveillance (84/100)
BS in Informatics (2011-2015) - 3.56 of 4.00
Related courses: Calculus (3.5/4.0), Probabilistic and Statistics (4.0/4.0), Discrete Mathematics
(4.0/4.0),
Advanced Computational Mathematics (3.5/4.0), Pattern Recognition (4.0/4.0),
Artificial Intelligence (3.0/4.0), Information Retrieval Systems (4.0/4.0), Data Mining (3.0/4.0),
Evolutionary Algorithms (4.0/4.0)