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Syafniya Zilfah

@syafniyazilfah

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Data Analyst passionate about transforming data into actionable insights.

Indonesia

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What I'm looking for

I am looking for a role that fosters growth, values data-driven insights, and encourages collaboration.

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.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

PT Sinergi Ayu Semesta

Jul 2024 - Present (1 year)

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.

Looker Studio Python ARIMA Data Visualization KPI Tracking SQL Data Automation Marketing Analytics

Data Analyst

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.

Python Data Integration GMV Revenue Analysis Clustering Data Visualization Market Data

Data Analyst Intern

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.

Metabase Data Analysis Dashboarding Data Validation Data Processing Query Optimization

Computing Lab Teaching Assistant

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.

Data Mining Teaching Curriculum Development

Data Analyst Intern

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.

SQL Tableau Minitab Data Forecasting Data Visualization Trend Analysis Data Insights

Education

Degrees, certifications, and relevant coursework

Sepuluh Nopember Institute of Technology

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.

Google Bangkit Academy 2021

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).