Account settings
Your Dotwave profile is more than a name badge. The details you set — your role, your industry, and how experienced you are with data work — feed directly into how Dotwave tailors its AI suggestions and its interface. Keeping this profile accurate is a small investment that makes the whole product fit your work better. This article covers where to edit your profile and exactly what each field does.
Editing your profile
You manage your profile from the Settings area of the app. Open Settings and go to your profile section, where you can update the following fields at any time:
- Name — how you are identified across the app.
- Role — the kind of work you do, so Dotwave can frame suggestions in language that matches your day-to-day.
- Industry — the sector your data usually comes from, which affects the examples and defaults Dotwave leans on.
- Skill level — how comfortable you are with data cleaning, from newer analysts to seasoned specialists.
Change any field and save; the update takes effect immediately. You set most of these during onboarding when you first signed up, but nothing is locked in — as your work shifts, revisit Settings and adjust your onboarding preferences so the app keeps up.
You can update your profile fields as often as you like. Dotwave applies the new values to future suggestions right away — there is no need to re-upload data or restart a cleaning session.
How your profile personalizes Dotwave
Dotwave uses your profile in two connected ways. First, it shapes the AI suggestions you see throughout the cleaning pipeline. The assistant already reads each dataset's column profile before it proposes an operation; your role, industry, and skill level give that reasoning context. A finance analyst working with transaction data and a marketing analyst working with campaign metrics face different conventions, and the profile helps Dotwave phrase and prioritize its recommendations accordingly.
Second, your skill level influences how much explanation the interface puts in front of you. A newer analyst benefits from more guidance around what each step does and why a given fix is appropriate, while an experienced specialist wants to move quickly without repeated hand-holding. Setting an honest skill level keeps the interface at the right altitude for you.
None of these fields change the actual data operations available — you always have the full pipeline and can confirm or reject any suggestion. What they change is the framing: the wording of recommendations, the examples chosen, and the amount of explanation shown. If Dotwave's suggestions ever feel mismatched to your work, the first thing to check is whether your role and industry are still accurate.
Keeping your profile useful
Treat your profile as a living setting rather than a one-time form. If you move between industries across engagements, or your comfort with data cleaning grows, update the relevant fields so Dotwave's personalization tracks reality. The better your profile reflects the work in front of you, the more the AI suggestions and interface earn their place instead of getting in your way.
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