Arya is a Data Analyst professional who is a detail-oriented person and loves to take challenges. Have worked on various projects regarding market research, sales analysis, and user behavior analysis. Experienced in various industries such as manufacturing and startup. He possesses technical skills including proficiency in Spreadsheets, SQL, and Python, as well as BI tools such as Looker Studio and Tableau, and combines them with strong communication and negotiation skills to create an impactful data-driven decision.
Email Medownload cvI currently am the lead designer on the interaction design team for Google Play.
I’ve worked on a wide variety of internal tools for facebook over the past 6 years.
I started my design career with Dribbble. I was incharge of creating illustrations for the platform.
Intensive 13 weeks data analytics online learning program with instructors from tech industries such as Tokopedia, Grab, Halodoc, Vidio, etc. I managed to:
• Learn the fundamental, with hands-on experience in an end-to-end data analytics process based on real business cases.
• Get awarded as the Best Assignment in Data Visualization module.
• Become the Project Lead for Group Final Project.
Actively participated in organizations and graduated with thesis “Multi-Step Differential Transform Method for Solving COVID-19 Transmission Model”
• Developed, maintained, and monitored Key Performance Indicators (KPIs) for commercial team members, achieving a 7% increase in Total Payment Volume (TPV) QoQ.
• Deployed a centralized dashboard using MetaBase and Looker Studio, enhancing data visibility and decision-making.
• Automated data extraction processes using SQL (e.g., BigQuery, MetaBase), reducing manual reporting efforts and improving analysis turnaround time by 71%.
• Managed product event tracking within CRM tools (e.g., Clevertap), optimizing event-based user engagement strategies.
• Monitored and optimized user pipelines and attribution models, ensuring accuracy in customer journey tracking and improving conversion metrics.
• Delivered regular performance reports and conducted ad hoc data analysis for the commercial team, providing actionable insights and strategic recommendations to drive business growth.
• Analyzed and monitored any initiatives and release features in the product team, resulting in a 21% increase in revenue from user retention QoQ.
• Increased team monitoring efficiency by creating a system to automatically monitor team members' KPIs using advanced spreadsheet formulas.
• Developed health metrics for 4 out of 6 business units, regularly monitored performance, and built automated report templates in slides for stakeholder presentations.
• Conducted market research and analysis to understand customer trends and behaviors comprehensively.
• Managed ad hoc requests by utilizing MetaBase and BI tools to provide easy-to-digest reports.
• Analyzed weekly, monthly, and yearly sales achievements based on product type and create strategies to achieve the sales targets.
• Led a team in building a market insights framework that guided in-depth analysis of the market and customer behavior and also created a customer segmentation.
• Developed a forecasting model for aluminum procurement planning using Python for 10 new branches and analyzed the distribution composition for each branch using an advanced Spreadsheet function.
• Led a team in designing a pricing framework aligned with product value and market needs and created automated pricing and revenue analysis to produce the most suitable pricing strategy.
• Apply Python scripts to collect, prepare, analyze, and visualize or export data.
• Apply basic machine learning algorithms.
• Apply data visualization and storytelling techniques to communicate the results of the analysis.
• Explain the fundamental concepts behind the main Big Data platforms.
I think everyone wants the same thing - relationship with humanity, peace with the metaphysical, and experience with the universe. I try to grasp these things with my values: authenticity, creativity, & hospitality.
Exploratory Data Analysis, descriptive statistics, correlation, regression analysis.
Store, manipulate, and retrieve data from databases and perform cohort analysis. Tools: Google Bigquery, MySQL, Metabase
Exploratory Data Analysis and create customer segmentation using RFM clustering and K-Means clustering. Python IDE: Google Colab, Jupyter Notebook. Python Libraries: Pandas, Numpy, Matplotlib, Scikit-learn, Geopy
Exploratory Data Visualization and create advanced interactive dashboards for reporting.
Exploratory Data Visualization and create interactive dashboards using LOD, calculated field, and parameter.
Conducted an end-to-end analysis of traffic accidents that occur in New York City and evaluated the programs that the government has implemented.
Created an interactive dashboard by utilizing filters, parameters, LOD, and other features that can provide insights and recommendations on vaccination progress globally.
Created interactive dashboard to give a comprehensive visualization of AirBnB listings in Singapore. The dashboard is available on Tableau and Looker Studio.
Created a monthly retention cohort to know how many users(%) coming back for the following months in 2022 using SQL in Google Bigquery.
Each dribbble shot is made with love and care. Do check out my work on
Dribbble. Likes and comments are appreciated.
Here are a few lines from people who I have worked with.
Here is a collection of my best travel pictures that I took while travelling
places all around the world.
Now that you know a lot about me, let me know if you are interested to work with me.
