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@syafniyazilfah
Data Analyst passionate about transforming data into actionable insights.
I am a Data Analyst with over 2 years of experience specializing in statistical analysis, data modeling, and forecasting. I graduated from Sepuluh Nopember Institute of Technology with a degree in Statistics and completed the Google Bangkit program in 2021, focusing on Machine Learning. My passion lies in turning complex data into actionable insights that drive business decisions.
Throughout my career, I have developed and maintained various dashboards, including RFM, Revenue, and KPI Trackers, utilizing tools such as SQL, Python, and Looker Studio. I have a strong background in automating data processes, particularly in e-commerce and marketing analytics, and have successfully optimized SKU performance and conducted detailed analyses to support strategic initiatives.
I am skilled in data visualization and effectively communicating data-driven recommendations. My goal is to leverage my analytical skills and technical expertise to contribute to a forward-thinking organization that values data-driven decision-making.
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Work history, roles, and key accomplishments
PT Sinergi Ayu Semesta
Jul 2024 - Present (1 year 4 months)
Developed and maintained RFM and Revenue dashboards using Looker Studio, analyzing B2C and B2B data to enhance marketing and sales strategies. Designed and implemented a Business Unit return dashboard, tracking product returns to improve customer satisfaction and optimize performance.
Little Joy Indonesia
Aug 2023 - Dec 2023 (4 months)
Integrated marketplace data into jurnal.id and automated the process using Python, significantly improving data entry efficiency. Conducted comprehensive sales analysis, including GMV, Revenue, and AOV calculations, and performed customer clustering and survey visualization to gain insights into customer behavior.
Qiscus
Oct 2022 - Apr 2023 (6 months)
Processed and analyzed data using Metabase, creating dashboards and providing actionable insights to improve performance. Validated data from various sources, ensuring accuracy and supporting informed decision-making for clients.
Sepuluh Nopember Institute of Technology
Feb 2022 - Jun 2022 (4 months)
Created materials and assignments for students focusing on data mining concepts. Reviewed lessons and lectures with students, providing support and marking assignments to facilitate their learning.
PT Smartfren Telecom Tbk
Aug 2021 - Feb 2022 (6 months)
Utilized SQL to compare databases, identify missing data, and troubleshoot related issues, ensuring data integrity. Created visually appealing and interactive dashboards in Tableau, performing forecasting using historical data to identify trends and patterns.
Degrees, certifications, and relevant coursework
Bachelor Degree, Statistics
Grade: 3.44/4.00
Activities and societies: Undergraduate Thesis: Classification of Rice Plant Growth Phase Based on Landsat-8 Satellite Multitemporal Image Data with the Method Convolutional Neural Network (Survey Sample Case Study KSA Poso Regency, Central Sulawesi Province)
Completed a Bachelor's Degree in Statistics with a GPA of 3.44/4.00. Undertook an undergraduate thesis on the classification of rice plant growth phases using Landsat-8 satellite multitemporal image data and Convolutional Neural Network method.
Machine Learning Students, Machine Learning
Grade: 93.36/100
Activities and societies: Final Project: Prevent Stunting by Calories Detection using Object Detection (YOLOv3)
Participated in the Google Bangkit Academy 2021, specializing in Machine Learning and achieving a score of 93.36/100. Developed a final project focused on preventing stunting through calorie detection using Object Detection (YOLOv3).
Software and tools used professionally
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