Mavis AI: Generative AI Text Summarizer
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Summary
Led the development and deployment of Mavis AI, a Chrome Extension that utilizes Generative AI (LLM) for real-time text summarization.
Final-year Information Systems student specializing in data engineering and automation, adept at designing and implementing efficient ETL pipelines using Python, SQL, and orchestration tools like Apache Airflow and Airbyte. Proven ability to enhance workflow efficiency through automation solutions, driving measurable improvements in data processing speed, resource allocation, and team productivity. Seeking to leverage expertise in AI, ML, and data analytics to contribute to innovative projects in a dynamic tech environment.
Head of Data Science Department
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Summary
Led a department focused on data science learning and AI-powered application development, coordinating teams and automating key processes.
Highlights
Led a team of 16 members in data science learning initiatives and applied project development.
Coordinated 40+ team members in the development of AI-powered SaaS applications under the Laplace Project.
Automated recruitment analysis processes for over 300 documents and 50+ assessment metrics, enhancing efficiency.
Data Analyst (Internship)
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Summary
Designed and automated data pipelines for SEO and marketing dashboards, significantly reducing manual data preparation time and optimizing ETL processes.
Highlights
Designed and automated data pipelines for 12+ SEO and marketing performance dashboards, reducing manual data preparation time by 86% using Airbyte.
Leveraged SQL for comprehensive data transformation and aggregation from diverse sources, optimizing data readiness for Metabase visualizations.
Developed high-performance ETL pipelines for 250+ geospatial data sources on Elasticsearch with Python and .NET, achieving 163.8s processing time for 350K+ data, reducing processing time by 328%, and ensuring sub-second search latency.
Assisted in designing and implementing query performance optimization solutions for Airbyte, which improved query speed by 24%.
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Summary
Led product revamp and managed AI platform development, significantly enhancing resource allocation and team productivity.
Highlights
Led a comprehensive product revamp, integrating marketing-aligned features based on extensive user research and feedback.
Managed and coordinated the end-to-end development of an AI platform, leveraging Topic Modeling and Expert2Project Fit Modeling for automated project matching.
Increased resource allocation efficiency by 25% and boosted team productivity by up to 133% through the strategic implementation of AI models.
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Summary
Conducted comprehensive SEO audits and optimized website performance, significantly increasing organic traffic and guiding content strategy.
Highlights
Conducted in-depth SEO audits utilizing SEMrush and Google Analytics to identify and prioritize critical improvement areas.
Developed comprehensive keyword and performance dashboards to strategically guide and optimize content strategy.
Optimized website structure and content, driving a 25% increase in organic traffic within three months.
Teaching Lab Assistant
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Summary
Provided instruction in basic programming to information system students, achieving high student understanding scores.
Highlights
Instructed over 40 Information System students in Basic Programming, achieving an 86% understanding score in post-course evaluation surveys.
Data Scientist Intern (Project Based)
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Summary
Contributed to various data science tasks, including analytics, visualization, and machine learning projects.
Highlights
Executed diverse data science tasks, including advanced data analytics, interactive data visualization, and machine learning model development.
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Bachelor
Information Systems
Grade: 3.89/4.00
Courses
Data Warehouse
Business Intelligence and Analytics
Database Administration
Data Structures and Algorithms
Basic Database
Data Mining
Introduction to Data Science
Issued By
Credly
Issued By
DataCamp
Issued By
DataCamp
Issued By
Forage
Issued By
Oracle
Issued By
Oracle
Python, SQL, PostgreSQL, MySQL, MongoDB, Elasticsearch, AWS Redshift, Supabase.
Airflow, Docker, dbt, Bonobo ETL, Airbyte, Logstash.
Tensorflow, LLM APIs (LLAMA, DeepSeek), NLP, Scrapy, Selenium, n8n, Zapier, Make.
AWS, Google Cloud, Node.js, Flask, Django, Tableau, Looker Studio, PowerBI, Metabase.
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Summary
Led the development and deployment of Mavis AI, a Chrome Extension that utilizes Generative AI (LLM) for real-time text summarization.
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Summary
Consolidated all projects into a single portfolio, highlighting technical skills and tools, showcasing expertise in data analytics, data engineering, and AI engineering.
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Summary
Designed and built a high-performance ETL pipeline using Python to process and index over 350,000 geospatial data points on Elasticsearch from 250+ endpoints.
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Summary
Involved in the architecture and development of an AI platform leveraging Topic Modeling and Expert2Project Fit Modeling to intelligently match individual skills with project needs.
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Summary
Built a data pipeline from scratch using the Bonobo ETL framework to extract and transform telecommunication customer data from databases.