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IBM Data Analyst Professional Certification (2024)IBM Data Science Professional Certification (2024)Purwadhika Digital School, Data Science and Machine Learning (2023)Digital Kominfo, Data Analyst (2023)Bapenda DKI Jakarta, Regional GIS Analyst of The Year (2022)
Welcome to My Portofolio !
Ahmad Baihaqi Hidayat
Education
Institute
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Institut Teknologi Sumatera
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Purwadhika Digital School
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Skills
Hard Skill
Python
SQL
ETL
Tableau
Looker Studio
HTML/CSS/JS
Git
Google BigQuery
Certification and Awards
Data Analyst | Data Enthusiast
Hey there, you can call me Bay !
I’am a detail-oriented Data Analyst with a proven track record of transforming intricate datasets into strategic insights. Proficient in utilizing SQL, Python for comprehensive data analysis. Specialized in Data Analysis, with expertise in leveraging data visualization tools such as Tableau, Power BI, and Looker Studio to communicate findings effectively. Experienced in the end-to-end ETL process, adept at designing and implementing automated pipelines to ensure efficient data flow. Skilled in mining, cleaning, and interpreting data, with a keen eye for detail to drive informed business decisions.
Interested in :
📊 Data Analysis, Data Visualization, Data Pipeline
✏️ Trainer Data Analyst, Data Visualization
Work Experience
Institute
Position
Details
Sinarmas Mining
1
Data Analyst
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BAPENDA DKI Jakarta
3
Spatial Data Analyst
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Studio GIS Analyst
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Mapping Surveyor
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Project Experience
Skill
Description
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Machine Learning - Customer Segmentation
K-Means clustering was applied to Olist's transaction data, segmenting customers according to their purchasing behaviors. This segmentation strategy facilitated the identification of distinct customer groups, providing an opportunity to develop personalized marketing strategies for each segment.
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Machine Learning - Predicting Apartment Price
An XGBoost-based predictive model was developed to estimate apartment prices in Daegu amid market fluctuations. It has achieved a high accuracy level, maintaining a MAPE under 20%. This tool offers valuable insights for buyers and sellers navigating the volatile Daegu real estate market.
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Exploratory Data Analysis
Exploratory Data Analysis with NYC TLC Trip Data to to interpret patterns and provide actionable recommendations to inform decision-making.
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Python CRUD Function
The implementation of CRUD (Create, Read, Update, Delete) in Python involves creating functions related to car rental data.
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Python Transformation
Performing the transformation of tabular data into a spatial database format using Python to enhance the efficiency of the transformation process.
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Scrapping Spatial Data
Creating a Python function to retrieve spatial data from OpenStreetMap by specifying the spatial data selection and the data retrieval location.
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Tableau Visualization
Visualizing data in the form of pie charts, bar charts, line charts, as well as creating visualization dashboards and geodashboards to provide engaging and understandable information.
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