Data analyst with more than 1-year of working experience, mainly in medium size startups. Prior to my career as a data analyst, I had some internship experiences in software engineering, mostly as a backend or mobile app engineer. Possess strong skills in programming (Python), database, data analysis, and business understanding. In the future, I aspired to take a more advanced role in data science.
● Data Analyst in smart feeder (IoT) business unit team.
● Responsible in assisting business users need in data, ranging from data extraction, building dashboard, and data analysis
● Notable analysis: Upselling Potential Analysis, Sales Effectiveness Analysis, Monthly Business Performance Report, Monthly Narrative Analytics Report
● Mainly use SQL (Metabase), Python, and Google Sheets on a daily basis.
● Responsible for various data projects; such as report clean up, data anchors
creation, ad hoc queries, report reconciliation, creating PoC of simple data pipeline from AWS to
BigQuery, etc.
● Notable projects: CPD Calculation Project, Finance Data Anchor, Customer & SKU Profitability, SKU
Impact to Other SKU (similar to market basket analysis)
● Create star schemas for the development of Data Warehouse
● Working closely with all of the divisions; from finance, operation, merchandiser, sales,
etc
Keywords: Data Analysis, Data Extraction, Data Visualization, ETL (Airflow), BigQuery
● Implement an internal payment simulator function to reduce the coupling with external payment
service
● Implement internal tools for managing user subscription in digital goods to reduce the
communication with DBA team
● Implement a function to standardize unify Datadog reporting in order to make a better
dashboard
Keywords: Golang, PostgreSQL, DataDog, Backend
● Developed a new web application as a full-stack developer from scratch
● Stack used: Laravel (PHP), MySQL, Bootstrap, JQuery
Thesis Title: Development of Information Retrieval System on Indonesia Al - Quran Translation and Commentary
The project goal is to categorized a news based on its title. The available categories are
News (general news), Finance, Health, Automotive, Sport, Travel, etc.
The dataset used containing more than 90.000 news titles from Indonesian news site
(detik.com)
This project is being done as one of bootcamp final assigment.
The dataset being used
is Pins
Celebrity Dataset that contains 105 person labels. The technique being used is by
using transfer learning (FaceNet). The model latter is converted to TfLite in order to run
classification from mobile phone.
The project goal is to extract the main topic of a news title. For example, if a news titled ' The Government is Considered to Open School at January', the model will return 'Government, Corona, School' as the topics. The topic is extracted using TF-IDF method. The dataset used containing more than 90.000 news titles from Indonesian news site (detik.com)
View Project
This dataset containing 90.000 news titles dataset from Indonesian news site (detik.com)
Scraped using BeautifulSoup4
This research do some experiments regarding information retrieval by using some models. Those models are Language Model, Okapi BM25, and Vector Space Model. This research also propose some experiment scenarios based on the various usage of translation and tafseer data. The result is Language Model the best perform model with 55% precision at 5, 46% precision at 10, and 64% MAP. Furthermore, this research also explore the incorporation of query expansion using word embedding.
View ProjectThis dashboard contains the condition of fisheries in all Indonesia provinces. Those condition including the trend of fish cultivator, the valume of fish product throughput, the productivity of each cultivator, the demand and supply trend for fish product, and the monetary value of throughput.
The dashboard is using open data from data.go.id
View Project