As a highly motivated and detail-oriented data professional, I thrive on transforming raw data into actionable insights. With a solid foundation in statistical modeling and data storytelling, I am passionate about using data to inform creative decision-making and drive significant business impact. My curiosity fuels my continuous learning and innovation in the field of data science.I excel as a creative problem solver and an excellent team player, bringing extensive experience and deep knowledge of data science to every project. I am dedicated to leveraging data insights to enhance business strategies and outcomes.My Skill Set:✔️Languages: Python, SQL, R✔️ML Toolkits: Scikit-Learn, TensorFlow, SciPy, NumPy, Pandas, Tidy Models, Forecast✔️Big Data Toolkits: Google Cloud Platform (GCP), Google BigQuery, Spark, HDFS, MapReduce, AWS✔️Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, R Shiny, Plotly, ggplot✔️Software: Microsoft Office, Epic, SAP Software, BusinessObjectsIn my free time, I enjoy reading books, practicing yoga, and spending time in nature. These activities help me maintain a balanced lifestyle and keep my mind sharp.I am always eager to connect with like-minded professionals and explore opportunities where I can contribute to impactful projects and further hone my skills.
American Red Cross
View- Website:
- redcross.org
- Employees:
- 32537
-
Volunteer - Disaster ResponderAmerican Red CrossUnited States -
Data Science InternSecond Harvest Of Silicon Valley Jun 2024 - Aug 2024San Jose, Ca, Us➢ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗳𝗼𝗿 𝗠𝗮𝗷𝗼𝗿 𝗗𝗼𝗻𝗼𝗿𝘀: Initiating a project to develop a predictive model aimed at identifying potential major donors by analyzing key predictive indicators.➢ 𝗟𝗼𝗼𝗸𝗮𝗹𝗶𝗸𝗲 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗳𝗼𝗿 𝗗𝗼𝗻𝗼𝗿 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀: Working on creating lookalike frameworks for recurring donors and planned givers to improve targeted outreach strategies by identifying common traits.➢ 𝗡𝗲𝘄 𝗗𝗼𝗻𝗼𝗿 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹: Starting the design of a model to identify potential new donors from a population of 2.6 million residents, with the objective of expanding the donor base. -
Artificial Intelligence TrainerOutlier Apr 2024 - Jul 2024San Francisco, Us➢ Evaluating and ranking AI-generated responses to ensure they adhere to quality standards.➢ Assessing the factual accuracy of AI-produced texts and providing detailed feedback to enhance the accuracy and reliability of the models.➢ Developing and answering questions to train AI models in understanding and processing complex language patterns. -
Marketing InternMind4Youth Feb 2024 - Mar 2024San Jose, Ca, Us -
Director Of MarketingShpe Orange County - Inland Empire Professional Chapter Oct 2022 - Oct 2023Santa Ana, Ca, Us -
Student Data ScientistAnaheim Ducks Jan 2023 - Jun 2023Anaheim, Ca, Us -
Meta Global Hackathon (Coding And Product Thinking Challenges)Meta Sep 2022 - Sep 2022Menlo Park, Ca, Us➢ Award: Top 400 winners for impressive performance - top 10 regional leaderboard ➢ Two weeks adventure the first META GLOBAL HACKATHON with Coding, and Product thinking challenges to refine my skills and connect with like-minded individuals. -
Healthcare Data AnalystUci Health Feb 2022 - May 2022Orange, California, Us -
University Health AmbassadorCalifornia State University, Long Beach Aug 2021 - Apr 2022Long Beach, Ca, Us
Han N. Skills
Han N. Education Details
-
Uc IrvineBusiness Analytics (Stem) -
California State University, Long BeachHealth/Health Care Administration/Management
Frequently Asked Questions about Han N.
What company does Han N. work for?
Han N. works for American Red Cross
What is Han N.'s role at the current company?
Han N.'s current role is Volunteer - Disaster responder.
What schools did Han N. attend?
Han N. attended Uc Irvine, California State University, Long Beach.
What skills is Han N. known for?
Han N. has skills like Product Marketing, Mysql, Scikit Learn, Amazon Web Services, Data Science, Epic Systems, Statistical Analysis, Causal Inference, Data Driven Decision Making, Microsoft Powerpoint, R (Programming Language, Data Analysis.
Who are Han N.'s colleagues?
Han N.'s colleagues are S Eb, Karina Kum, Johnson Ressie, Andre Barnes, Emma Boyd, Lucrecia Smith, Rick Keimig.
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