Jike Chong
Appearances by year
- Data Day Texas
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jan 28, 2023 | Data Day Texas 2023 | Data Day Texas | speaker | Data Professional's Career: Techniques to Practice Rigor and Avoid Ten MistakesTrust is precious to build for all data science work. Much of the trust in data and modeling comes from the rigor with which data professionals treat the…Show lessTrust is precious to build for all data science work. Much of the trust in data and modeling comes from the rigor with which data professionals treat the subject. | |
| Jan 28, 2023 | Data Day Texas 2023 | Data Day Texas | speaker | For the overwhelmed data professionals: What to do when there is so much to do?95% of the companies with data science teams have teams of fewer than ten members. In a nimble team with a wide range of possibilities to make business impacts…Show less95% of the companies with data science teams have teams of fewer than ten members. In a nimble team with a wide range of possibilities to make business impacts with data science, how do you explore and prioritize the opportunities? | |
| Jun 13, 2022 | Data Day Texas 2022 | Data Day Texas | speaker | Data Professional's Career: Techniques to Practice Rigor and Avoid Ten MistakesTrust is precious to build for all data science work. Much of the trust in data and modeling comes from the rigor with which data professionals treat the…Show lessTrust is precious to build for all data science work. Much of the trust in data and modeling comes from the rigor with which data professionals treat the subject. | |
| Jun 13, 2022 | Data Day Texas 2022 | Data Day Texas | speaker | For the overwhelmed data professionals: What to do when there is so much to do?95% of the companies with data science teams have teams of fewer than ten members. In a nimble team with a wide range of possibilities to make business impacts…Show less95% of the companies with data science teams have teams of fewer than ten members. In a nimble team with a wide range of possibilities to make business impacts with data science, how do you explore and prioritize the opportunities? |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Yue Cathy Chang | 2 | 4 | 2023 |
| Andy Petrella | 2 | — | 2023 |
| Brandon Baylor | 2 | — | 2023 |
| Corey Lanum | 2 | — | 2023 |
| David Hughes | 2 | — | 2023 |
| Heather Hedden | 2 | — | 2023 |
| James Hansen | 2 | — | 2023 |
| Jans Aasman | 2 | — | 2023 |
| Joey Jablonski | 2 | — | 2023 |
| Jonathan Mugan | 2 | — | 2023 |
| Max De Marzi | 2 | — | 2023 |
| Michael Uschold | 2 | — | 2023 |
| Paige Roberts | 2 | — | 2023 |
| Sean Robinson | 2 | — | 2023 |
| Shirshanka Das | 2 | — | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.