Data Analysis Science

Eric Lin

720-***-**** ****.***@*****.***

Summary:

• My career is founded on one sentence: making the impossible into the possible. For examples:

• Metallurgy: Successfully characterized within 6 months the effect of carbon on the loss of room-temperature damping capacity in copper-manganese alloys as a 1st year graduate student. This has resulted a key breakthrough to conclude a post-doc's 5-year research and publication.

• Piezoelectricity: Innovated a quantitative relaxation time spectrum model for piezoelectric materials in my PhD study. This discovery has quickened the qualitative modeling in this field significantly.

• Hard Disk Drive: Led a team to save an estimate of 25 million hard drives built for Seagate, valued at $2,500 million US dollars among a quality crisis in 2010. Later, helped set up a task force with plan to ensure similar crisis will never happen again.

• Data Automation & Integration – developed toolkits to simplify the automated data retrieval or statistical analysis. It has cut the processing time from several weeks to within minutes.

• Big Data Machine Learning Development – Pioneered the designs of Big Data Artificial Intelligence System in the Open-Source R/ Python, Hadoop, and Data Flow integration.

• Nicknamed as Data Wizard, a recipient of highest performance rating 6 years in a row. Education:

• Ph.D. of Metallurgical Engineering - University of Missouri-Rolla 1994 -1999 Focus in relaxation mechanism modeling in piezoelectric ceramics & damping capacity degradation in copper- manganese alloy along with TEM/SEM imaging technology

• Master of Physics - University of Oregon 1991-1992 Focus in X-ray Diffraction for DNA & Crystalline Solid-State structure

• Bachelor of Physics - Tunghai University in Taiwan 1982-1987 2 years in Chemistry, 3 years in Physics, Analytical Chemistry and Quantum Physics focus Skills:

• Languages: Python, D3 JavaScript, Java, R, C++, Visual Basic, JSL (SAS JMP Scripting Language), MATLAB, LabView, Pascal, Fortran, Oracle/Postgres/Hive SQL, PL/SQL, KNIME, Alteryx

• Soft Skills: Analytical, Project Planning, Dedicated, Communication, Self-Starter, Leadership, Teamwork, Fascinate in Problem Solving, Detail Oriented, Quick Learner

• Techniques: Exploratory Data Analysis, Data Engineering, Data Visualization, Pipeline Automation, Machine Learning, Neural Networks, Image Recognition, Clustering, TensorFlow/Pytorch/XGBoosting, Data Science, CICD, ETL, GPIB Virtual instrumentation, Platform Integration (among JMP, Python, Java, JavaScript, KNIME, MATLAB, Excel, and Google Sheets)

• Technologies: Snowflake, AWS S3, GCP, Office 365 SharePoint, Plotly Dash, Elasticsearch, OpenSearch Dashboards, Tableau, Kafka Streaming, Smartsheet, Linux, Agile/Scrum, GitHub Work Experience:

DISH Wireless Network – Littleton, CO March 2023 - Current Sr. Data Scientist (Contractor)

• Responsibilities include developing analytical prediction models, managing the AWS/Snowflake infrastructure, automating data reports, developing database-level extraction and visualization applications

• Projects encompass building predicting models on 5G Network Performance, Configuration Compliance Congruency, Network Capacity Planning 12+ months down the road

• Creator of Dash Console app for Exploratory Data Analysis from database querying to interactive visualization and drill down analysis

• Technologies include Python, Plotly Dash, Snowflake, SQL, JavaScript, Alteryx, KNIME, Dataiku, Tableau Dashboards

Seagate Technology – Longmont, CO Jul 1999 - Dec 2022 Sr. Staff Data Scientist

• Data Analytic SME principal & management’s right-hand man on providing complex data analysis solutions whenever challenges arrived.

• Always dispatched to Product Development Core Teams by management for Seagate’s most critical & pioneering product R&D and production ramp-up

• Promoted Citizen Data Science Initiative program inside Seagate and helped certify 500+ CDS (Citizen Data Scientists)

• Developed, trained, and deployed machine learning models to resolve hard disc drive issues using data from firmware testing, time series, customer return, reliability, AFM images, and vendor component parts spectrum.

• Developed numerous integrated handy tools for Seagate engineering community.

• Established and administered Seagate Corporate KNIME servers in US; advised, developed, scheduled, and deployed KNIME workflows to Seagate world wide KNIME servers.

• Earned numerous excellence awards in launching new products and contributing to Seagate’s success during my 23-year+ tenure in Seagate.

• Rich experiences in serving customers and stakeholders that spanned from (a) engineers from R&D, Firmware, Reliability and Factory Floor manufacturing lines to (b) data analysts from Supply Chain, Global Marketing, International Trade Audit and HR Analytics, and to (c) executives, directors and managers from the aforementioned organizations.

• Technologies used including SQL, ETL, SAS JMP Scripting, Python, R, KNIME, Alteryx, Elasticsearch API, MATLAB, JavaScript, Java, C++, Kafka Streaming, Hadoop MapReduce Hive, Opensource eCube, Jupyter Notebook and Linux/Windows CLI

Projects

New Product by New Product Development

• Designated and dispatched to Core Teams by management for developing Seagate’s most revenue sensitive and profitable products.

• Successfully launched 10+ new products with the first to market achievement. Rescue Mission @ 11th hour

• Hailed as Hero of Rescue Mission (see attached LCO Site VP’s monthly communication memo, "Longmont Imperatives, "Message from Jeff Mason 3/24/2010)

• Salvaged and secured the shipment of tens of millions of Seagate drives to our key OEM customers with exceptional data analysis expertise.

• Led the team of 10 engineers to develop an automated monitoring analytic tool in JMP to ensure similar crisis will never happen again.

Citizen Data Science Initiative and Promotion

• Promoted Big Data Machine Learning culture and initiatives in Seagate, established CDS (Citizen Data Scientists) certification courses and program.

• Conducted technical training around the globe sites, equipped and certified more than 500 Seagate engineers and data analysts with in-depth data science skills and practices using KNIME & Python Test Time Reduction

• Skipped N-track testing for drive disc media defects by studying defect patterns and building machine learning models.

• Saved 50% of testing time.

Customer Return Prediction

• Predicted reliability returns with early upstream parametric by building a robust model with combination of Pytroch and XGBoosting algorithms.

• Attained 80% accuracy for major failure modes.

Analytical Tool Development

• Developed numerous integrated handy tools (Seagate in-house): DIDA (Drive Integrated Data Assembler), HAMR CPR (Heat Assisted Magnetic Recording Heads Critical Pattern Recognition), SMAT (Servo Mechanical Analytical Tool), CM Load analytical tool, SQL123…

• They all automated and simplified the lengthy and complicated data retrieval & statistical analysis processes.

• Reduced several days/weeks works to seconds/hours ones through architecting and integrating data pipelines with Oracle/Hadoop/AWS S3/GCP/Postgres databases.

HR Analytics Automation Projects

• CEO Direct Report Structure Management, Gender 2 Sample T- testing, Leadership Excellence Index analysis, Semi-annual survey analysis automation

• Reduced 4-man team 3-week work to couple minutes with my integrated KNIME workflows.

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