Muhammad Fajar Andikha

Data Scientist

https://talent.gravityer.com/muhammad-fajar-andikha

Jakarta, Jakarta, IndonesiaMember since June 26, 2026

Key Strengths

Demonstrated interest in Data Engineering and ELT pipelines through personal projects.
Experience with Python, Docker, and PostgreSQL in data-related projects.
Exposure to Airflow for workflow orchestration.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning attitude and a diverse set of interests, including data engineering, mobile development, and web development. While the target role is 'Data Scientist', many projects lean towards Data Engineering, which could indicate a foundational understanding relevant to data science pipelines. The variety of projects suggests adaptability and a willingness to explore different technologies.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview data provided.

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Projects

floating_clock

June 4, 2026 – Present

floating_clock — Dev.to repository

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auto-insert-excel

February 11, 2026 – Present

auto-insert-excel — Dev.to repository

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DE-Technical-Test

August 14, 2025 – August 19, 2025

DE-Technical-Test — Dev.to repository

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etl_tweets

July 18, 2025 – July 18, 2025

etl_tweets — Dev.to repository

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hands-on_tweet_data-pipeline

July 6, 2025 – July 12, 2025

hands-on_tweet_data-pipeline — Dev.to repository

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exploring_airflow_3

July 4, 2025 – July 6, 2025

exploring_airflow_3 — Dev.to repository

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Moovie_Reviews

June 10, 2025 – June 19, 2025

Moovie is a simple Flutter app that displays movie information and user reviews using the TMDB (The Movie Database) API. It allows users to explore movies by category and genre, and view detailed information for each movie.

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portfolio-website

May 15, 2025 – September 30, 2025

portfolio-website — Dev.to repository

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personal-portfolio

May 7, 2025 – May 7, 2025

personal-portfolio — Dev.to repository

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DataEngineering_ELT_Airflow

December 2, 2024 – December 2, 2024

This repository demonstrates an end-to-end ELT (Extract, Load, Transform) pipeline that extracts data from a source PostgreSQL database, loads it into a destination PostgreSQL database, and performs data transformations using dbt (Data Build Tool).

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Key Strengths

Demonstrated interest in Data Engineering and ELT pipelines through personal projects.
Experience with Python, Docker, and PostgreSQL in data-related projects.
Exposure to Airflow for workflow orchestration.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview data provided.

Muhammad Fajar Andikha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit