Hi, I'm

Muhammad Zaki Fuadi

Data Analyst, Business Intelligence Analyst, Data Engineer, Data Visualization Specialist

About

About Me

Call me Zaki,

Data analyst with strong interest in data industry. Experienced with Spreadsheet, SQL, and Python on data processing and analysis. Also experienced wtih design end-to-end data pipeline using Lambda Architecture built in (batch processing, data streaming, ETL/ELT processing) utilize like Airflow, spark, kafka. and create analytics dashboard using Tableau, PowerBI, Metabase and Looker. Currently building several skill sets in prepare to become a professional data engineer. Very confident to work by passion and constantly develop more skills.

Experience

Historical Experience

EDUCATION


Machine Learning | GCP | Backend

Dicoding Nov 2020 - Present

A startup develops a learning platform for developers, guided by experts from the Dicoding Team. Users get free access through monthly events, gaining valuable insights and support to enhance their skills. The platform offers practice sessions and assistance to overcome challenges. Here are some insights from the programs/courses that have been provided:

  • Creating a reliable, scalable, adaptable, and maintainable end-to-end machine learning system by implementing MLOps principles.
  • Designing and building an architecture utilizing the available services in the Google Cloud Platform (GCP) accurately to ensure reliability and security.
  • Final Project: Sistem Rekomendasi Film | Collaborative Filtering
    Details: Developing an accurate recommendation model for precise and relevant film suggestions, improving user experience. Implementing personalized features like watchlists, genre-based recommendations, and notifications to enhance viewer loyalty and engagement.


  • Data Science | CRM

    Dibimbing - Internpro Mar 2023 - Present

    A platform has been created to facilitate virtual internships, allowing individuals to gain practical experience in a remote setting. The program offers a structured learning environment, enabling interns to develop industry-specific skills, collaborate with professionals, and contribute to real-world projects :

  • In the data analysis process, an exploratory approach is taken to understand the dataset's characteristics, identify patterns, and gain insights into the variables. Feature engineering techniques are applied to transform and create new features that can improve the performance of machine learning models.
  • Startupcampus segments customers based on demographics, experience, career goals, financial availability, motivation, and learning style. Personalized emails, including subject, preview text, and body, are sent using Mailchimp. The campaigns aim to drive direct registrations and are tracked and evaluated using tags.


  • Data Engineer

    IYKRA Nov 2022 - Feb 2023

    Intensive 4 weeks data engineering online learning program with instructors from top leading company like DANA, Bukalapak, etc. Achievements:

  • Design end-to-end data pipeline with Lambda Architecture, so the business intelligence/analyst could choose between whether to use batched data or real time streamed data
  • Final Project: Banking Marketing Details: Define customer segmentation on intution bank using classification algorithm, to increase the efficiency of their campaign by targeting client with higher chance of success based on the feature from the data, and implemented data streaming using Machine Learning (Decision Tree Algorithm).


  • Bachelor's Degree in Mathematics

    Yogyakarta State University | 2015 - 2019

    Actively participated in organizations and graduated on time with cumlaude by taking several subjects related to data analysis:

  • Probability and Statistics
  • Exprimental Design
  • Multivariate Analysis
  • Database System
  • Database Management

  • PROFESSIONAL

    Contributor

    Upwork
    Feb 2022 - Present
    (Part Time)

  • The task involves designing the formatting and navigation elements in Power BI to enhance the visual appeal and user experience of the reports.
  • The task is to create a Power BI Dashboard, which involves designing and developing a visual representation of data using the Power BI tool for effective data analysis and reporting purposes.
  • The task entails utilizing data analysis techniques and generating graphical reports as a Data Analyst specializing in graph reporting.
  • Full Stack Data Analyst

    PT. Trio Motor (branch of Astra Honda Motor KALSEL-TENG)
    Oct 2021 - Oct 2022
    (Full-Time)

  • Develop big data analysis in each business line (sales, unit entry , parts) and business support (customer care) using SQL, excel and PowerBI
  • Monitoring quality usecase implementation of Main Dealer.
  • Increase business value in 5 departments (sales, unit entry , parts, marketing, logistics, customer service center)
  • Supervisor CS. Measurement

    PT. Trio Motor | Oct 2021 - Oct 2022
    (Full-Time)

  • Monitoring of customer service satisfaction survey activities conducted by vendors & internal MD, analyzing the results of ongoing surveys and reminding the department if there are findings of problems in customer service.
  • Ensuring Corrective Action (remedial, monitoring, preventive) Department runs on every dealer who still has deficiencies in customer service.
  • Increase customer care KPI for company from 85.70% to 87.40% in the first half of 2022.

  • Data Mapping | Data Administration | Surveyor

    BPS Kota Banjarmasin
    Mei 2020 - Sep 2021

  • Mapping 12 kelurahan, 105 RT and 70000 houses in 40% faster than the deadline.
  • Using shortcuts and coding to speed up area mapping and speed up regional data input such as longitude point, latitude point, census block code, RT code, and area code simultaneously.
  • understanding of regional mapping software application (QGIS / ArcGIS) and its use, work efficiently with the help of coding.

  • Data Analyst

    PT. Geotama Energi
    Oct 2017 - Jan 2018
    (Internship)

  • Responsible for data pre-processing including data cleaning, data reduction, data transformation, and using classification algorithm.
  • After the data is clean, it can be classified according to the role that has been created, integrated into the model, and make a decision on the value of water saturation and clay content with FIS (Fuzzy Inference System).
  • Increase model accuracy by 3% of the company model so that it becomes an insight for decision making.

  • Project

    Portfolio

    Training

    Certificate






    Digitalent Scholarship

    Professional Data Analytics






    BABASTUDIO

    Machine Learning (Python)






    Digital Talent Scholarship

    Cloud Computing






    IYKRA

    Management Business Analytics Course






    Dibimbing X Bukit Vista Hospitality

    Data Science - Virtual Intership






    Vocational School Graduate Academy Digitalent

    Associate Data Scientist

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