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Data Analyst Machine Learning

Location:
Brooklyn, NY
Posted:
January 05, 2024

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Resume:

ZHUOQUAN CHEN

Mobile: 718-***-**** Email: ad2hos@r.postjobfree.com Location: New York, NY

LinkedIn: www.linkedin.com/in/zhuoquanchen

PROFESSIONAL SUMMARY

• Develop and implement scalable and efficient data engineering solutions to support business needs.

• Adept at SQL, Python, and Java programming, with a strong foundation in both OLAP and OLTP relational databases.

• Design and implement ETL processes to extract, transform, and load data from various sources.

• Utilize programming languages such as Python and SQL for data manipulation, analysis, and visualization.

• Machine learning knowledge includes natural language processing, supervised and unsupervised learning. WORK EXPERIENCE

Data Analyst Feb 2021 – Aug 2023

MetTel, New York, NY

• Conducted comprehensive analysis and quantification of customers' wireless data usage, refining and optimizing the most efficient solution; implemented Infrastructure as Code (IaC) using SQL to automatically bulk remove and update customers' current month data overage on both client-side and backend systems (database); achieved significant cost savings of 30%- 70% for customers experiencing excessive data usage.

• Developed and managed an inventory database for customers, fostering collaboration with various departments. Automated the inventory and invoice receipt processes by leveraging system API calls and web scraping techniques.

• Implemented the launch of Redshift data warehouses through AWS SDK boto3 in Python, facilitating programmatic creation, configuration, and management of AWS infrastructure services, executed ETL operations on Redshift to ingest data using dimension modeling, achieving a noteworthy 25% reduction in workload and optimizing table joins and data processing time for the Business Intelligence team.

• Executed manual operations and monitored the performance of automated tasks in the ordering and billing systems.

• Collaborated with other departments to implement of new services, manage rate changes, and onboarding new customers.

• Used Bruin (a SaaS platform in Telecommunication Expend Management) to manage clients' spending on telecommunications such as controlling devices, wireless, and data costs. Data Analyst Aug 2018 – Jan 2021

Financial Aid Office of BMCC, New York, NY

• Orchestrated the collection of source data, adeptly extracting, integrating, and organizing information from diverse sources, while providing data support to other departments in a readily accessible format.

• Managed student data explorations and cleaning processes, and transformed raw data into consumable, high-quality information that’s ready for analytics.

• Applied insightful analysis to historical student application data, empowering relevant departments with data-driven decision- making capabilities.

• Collaborated with senior analysts to conduct exploratory data analysis and generate actionable insights.

• Modernized and streamlined the school's database, optimizing data entry processes and ensuring that student data was readily available in a user-friendly format for financial counselors to utilize in their services.

• Played a crucial role in assisting with data integrity and verification process of students’ application data. Software Developer (Intern) Jun 2020 – Sep 2020

Runlu E-commerce, New York, NY

• Gained valuable hands-on experience in the field of data analysis, providing robust support to senior data analysts in the extraction of meaningful insights from both structured and unstructured data sources.

• Played a pivotal role in data cleansing and transformation tasks, proficiently employing Python for enhanced data quality.

• Utilized sentiment analysis and harnessed Natural Language Processing (NLTK) techniques to evaluate customer satisfaction, delivering an impressive 80% increase in efficiency compared to human-driven efforts. ADDITIONAL WORK EXPERIENCE

Graphic Design Freelancer, Art Director, Design Director New York, NY & Guangzhou, China

• Designed, served & developed brands for 100+ companies, including Fortune 500 companies.

• Collaborated with a team of 20+ professionals & gained a 100% success rate on all projects and deliverables.

• Responsible for 30+ different districts of Guangzhou Power Supply Bureau VI design renovation project, 2010.

• Won the design bid for the first multi-function exhibition hall project of the Power Supply Bureau, 2012, China.

• Won the design bid for the office material decoration design for the P&G South China Head office, 2014, China.

• Won the design bid for the P&G Annual Convention of 2014, Guangzhou, China. REWARD

The Quality of Fountain Water Research Project of NYC The research team led by Dr. Bulley

• Conducted fountain water collections across all five boroughs of New York City, gathering samples from over 500 diverse locations, which encompassed public schools, parks, private stores, and various other sites, subsequently subjecting these samples to rigorous quality testing, which encompassed parameters such as pH levels, nitrates, and nitrites.

• Established a robust database and data modeling to meticulously store the resulting data records.

• Leveraged Geographic Information System (GIS) tools to seamlessly integrate the database, allowing for the visualization of all data points on a map, complete with detailed information specific to each fountain location.

• Created a user-friendly application with the purpose of empowering individuals to access and review fountain water information at specific locations.

• Won the CUNY Research Program Scholarship for the 2017-2018 academic year in recognition of these achievements. EDUCATION

Brooklyn College, New York, NY Aug 2016 – Jun 2020 Bachelor of Science in Computer Science

PROFESSIONAL SKILLS

• Programming Languages: Python, SQL, Java

• Data Analysis Tools: Numpy, Pandas, Matplotlib, Seaborn

• Database Management: MySQL, Microsoft SQL Server, PostgreSQL

• Cloud platform: AWS (Redshift, S3, Glue, Athena), GCP

• Database: Relational Database

• Machine Learning: Scikit-learn (classification, regression, clustering)

• Deep Learning: Keras (image recognition)

• Natural Language Processing: NLTK



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