Jin Fan
• Expertise in complete life cycle of ML model development in both Cloud (AWS) and On-Premises environments, including business... | Miami, Florida, United States
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Jin Fan’s Emails ji****@ve****.com
Jin Fan’s Phone Numbers No phone number available.
Social Media
Jin Fan’s Location Miami, Florida, United States
Jin Fan’s Expertise • Expertise in complete life cycle of ML model development in both Cloud (AWS) and On-Premises environments, including business problem transformation, ML algorithm selection, data extraction and feature engineering, model development and tuning, model implementation and automation, and model performance tracking. • Knowledgeable with ML algorithms Regression – Linear Regression, Time Series Classification – Logistic Regression, Gradient Boosting, Decision Tree, Random Forest Clustering – K-Means, K-NN, K-modes Others – Survival Analysis, Natural Language Processing (NLP) • Proficient technical skills Programming – Python, Spark, Unix Shell Scripting, SAS, SQL (DB2, Oracle, PostgreSQL) Big Data – Hadoop, Hive Software Development – Git/BitBucket, JupyterHub Operation Systems (OS) – Linux, Mac OS, Windows Cloud Computing – AWS (EMR, S3, Data Pipeline, etc.), Snowflake Campaign Management Systems – Unica, Pega Python web development packages – Django, Flask, Justpy, Streamlit
Jin Fan’s Current Industry Verizon
Jin
Fan’s Prior Industry
Tracfone Wireless
|
Verizon
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Work Experience
Verizon
Business Intelligence Manager
Sat Jul 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Verizon
Sr. Data Scientist
Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Tracfone Wireless
Sr. Data Scientist
Wed Aug 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Tracfone Wireless
Statistician
Thu Mar 01 2007 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Aug 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Jin Fan Email Addresses
FAQ About Jin Fan
-
Jin Fan is located at
Miami, Florida, United States -
Jin Fan is a
• Expertise in complete life cycle of ML model development in both Cloud (AWS) and On-Premises environments, including business problem transformation, ML algorithm selection, data extraction and feature engineering, model development and tuning, model implementation and automation, and model performance tracking. • Knowledgeable with ML algorithms Regression – Linear Regression, Time Series Classification – Logistic Regression, Gradient Boosting, Decision Tree, Random Forest Clustering – K-Means, K-NN, K-modes Others – Survival Analysis, Natural Language Processing (NLP) • Proficient technical skills Programming – Python, Spark, Unix Shell Scripting, SAS, SQL (DB2, Oracle, PostgreSQL) Big Data – Hadoop, Hive Software Development – Git/BitBucket, JupyterHub Operation Systems (OS) – Linux, Mac OS, Windows Cloud Computing – AWS (EMR, S3, Data Pipeline, etc.), Snowflake Campaign Management Systems – Unica, Pega Python web development packages – Django, Flask, Justpy, Streamlit Verizon -
Jin Fan currently works in the
Verizon -
Jin Fan specializes in
• Expertise in complete life cycle of ML model development in both Cloud (AWS) and On-Premises environments, including business problem transformation, ML algorithm selection, data extraction and feature engineering, model development and tuning, model implementation and automation, and model performance tracking. • Knowledgeable with ML algorithms Regression – Linear Regression, Time Series Classification – Logistic Regression, Gradient Boosting, Decision Tree, Random Forest Clustering – K-Means, K-NN, K-modes Others – Survival Analysis, Natural Language Processing (NLP) • Proficient technical skills Programming – Python, Spark, Unix Shell Scripting, SAS, SQL (DB2, Oracle, PostgreSQL) Big Data – Hadoop, Hive Software Development – Git/BitBucket, JupyterHub Operation Systems (OS) – Linux, Mac OS, Windows Cloud Computing – AWS (EMR, S3, Data Pipeline, etc.), Snowflake Campaign Management Systems – Unica, Pega Python web development packages – Django, Flask, Justpy, Streamlit -
Jin Fan speaks the following languages:
No languages available. -
Jin Fan has prior experience in the following industries:
Verizon , Tracfone Wireless , Tracfone Wireless -
Jin Fan has the following professional experience:
Verizon , Verizon , Tracfone Wireless , Tracfone Wireless . -
You can view Jin Fan’s
LinkedIn profile at LinkedIn URL. -
Jin Fan’s work email addresses are
[email protected] . -
Jin Fan works at
Verizon
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