Available to hire
Hi there! I’m Yosua Hotmaruli Lumban Gaol, a data analyst and data scientist with over three years of experience spanning tech, e-commerce, logistics, and energy. I love turning messy data into clear, actionable insights and building robust pipelines that drive real business improvements.
I’m collaborative, curious, and results-oriented—skilled at designing dashboards, refining data quality, and delivering data-driven features that align with client needs. I enjoy partnering with cross-functional teams to solve problems and communicate the value of data every day.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Data Scientist - Data Quality Analyst at USA Private Client – HR Company
November 1, 2024 - PresentAs a Data Quality Analyst, ensured data accuracy, completeness, consistency, and reliability by identifying and resolving data quality issues and developing standards. Actively communicated with BD and BE teams to improve data integrity. As a Data Scientist, created, maintained, and improved a matchmaking model used as a recommendations system aligned with clients' needs, collaborating with the BE team to ensure proper implementation. Successfully fixed data quality issues in over 20,000 candidate profiles and developed a matchmaking model, increasing the hire rate by 10%. Tech Stack: Python, SQL, Microsoft Excel.
Data Analyst at Astro – Online Grocery Company
May 1, 2024 - December 1, 2024Became Subject Matter Expert (SME), created ETL pipelines, provided dashboards, conducted ad-hoc analytics, and generated reports related to Buyer Experience, including Flash Sales, Campaigns, CCU, SES, Marketing Channel, Customer Segmentation, Tracker, and other metrics. Created ETL pipelines for Mixpanel tracker consisting of more than 20 tables, reducing day-to-day data analysis duration by 90%. Identified optimal timing to launch flash sales, increasing customer impressions and conversions by 30%. Implemented a Customer Segmentation engine to automate discounts, flash sales, campaigns, and notifications for targeted customers, reducing business process duration by 95%. Tech Stack: BigQuery, Looker Studio, Metabase, Python, Airflow, GitHub, Mixpanel, Microsoft Excel.
Data Analyst & AI Researcher at Waresix – B2B Logistic Company
January 1, 2022 - March 1, 2024Became Subject Matter Expert (SME), provided dashboards, conducted analytics, and created reports in terms of Data & Analytics within Products, Pricing, Orders, Quotas, Trucks, Drivers, and Supplier & Vendor Management. Engaged with DevOps to discuss AI best practices (LLMOps) and produced documentation for implementing AI, while also providing data for Data Scientists. Successfully completed analytics tasks related to KPI, potential revenue increment, order matchmaking, price competitive index, driver/vendor utilization, and product adoption. Found bottlenecks in the business flow and collaborated with Product to improve processing time by 43% after deployment. Improved vendor and truck matchmaking potentially increasing revenue by 11%. Reduced data scraping time of 2,000+ ports worldwide using Selenium from two months to one week. Created 20+ transformation models (tables) to improve productivity and collaborated on SQL query improvements during pipeline migration. Tech Stack: SQL, S
Education
Bachelor of Engineering at Universitas Pertamina
August 1, 2016 - July 1, 2020Bachelor of Engineering at Universitas Pertamina
August 1, 2016 - July 1, 2020Qualifications
Industry Experience
Software & Internet, Transportation & Logistics, Retail, Energy & Utilities, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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