Freelance Data Analysts in Washington
Freelance Data Analysts in Washington
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Andy Luo
Washington, USA
Bridging the gap between data analysis and market
$50k+
Earned
1x
Hired
5.0
Rating
25
Followers
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Bridging the gap between data analysis and market
8
Budget Execution Analysis PowerBI Visualization
8
230
1
Bitcoin Price Prediction Using ML
1
24
2
Agile and Technical System Diagram Designing
2
39
2
Recommendation System: Planning & Management
2
27
Data Analyst
(2)
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Justin Stevenson
Blaine, USA
🚀 Data Wizard: From Analysis to Elevation 📈
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🚀 Data Wizard: From Analysis to Elevation 📈
0
How I Doubled E-Commerce Sales Through SEO Optimization
0
6
0
Porting Articles from a Public Website to Zendesk Support Helpd…
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6
0
Enhancing Parts Database through Advanced Web Scraping
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12
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Data Analyst
(3)
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Soniya Moon
Seattle, USA
SharePoint | PowerApps | Power Automate | Power BI
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SharePoint | PowerApps | Power Automate | Power BI
0
Interactive Map / Project Status Report on Power BI
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13
0
Project, Program, Portfolio (PPM) Center - SharePoint, PowerApps
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14
0
SharePoint Intranet, Employee Resource Center w/ Forms/Workflows
0
18
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(2)
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David Keys | CX Systems
Spokane, USA
Transforming Data into Exceptional Experiences
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Transforming Data into Exceptional Experiences
0
Dynamic Contact Form Saves Startup $310K Annually
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17
0
Willow is AI-Ready with Synchronizes Data Systems
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14
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Willow Saves $380k with Salesforce Fractional Team
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21
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Blackbird Air Transforms Operations and Secures $10M Series A
0
18
Data Analyst
(2)
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Sydney Dixon
Tacoma, USA
Owner & Marketing Director | Manza Marketing
$1k+
Earned
1x
Hired
5.0
Rating
5
Followers
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Owner & Marketing Director | Manza Marketing
0
Full-Funnel Product Launch
0
22
1
Spotify Campaign
1
36
0
Amazon Ads Campaign
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16
0
Google Display Ads for Amazon Hourly Jobs
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26
Data Analyst
(1)
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Stefa Groves
Richland, USA
Hard questions. Scattered evidence. Clear answers.
15
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Hard questions. Scattered evidence. Clear answers.
0
How I Use Obituaries to Build Family Trees Most people think of obituaries as endings. For me, they're starting points. When I'm researching a family line, obituaries are one of the most underrated tools available. A single obituary can hand you 10+ names in one read: parents, siblings, children, grandchildren, in-laws, and sometimes even maiden names that would take hours to find any other way. How I use them: I start with whatever name I have. Could be a great-grandparent, a maiden name someone half-remembers, or just a last name and a rough location. I search obituary databases (Newspapers.com (http://Newspapers.com), Find A Grave, legacy.com (http://legacy.com), local newspaper archives) and look for matches. When I find one, I don't just read it. I pull every name mentioned and map the relationships. "Survived by her daughter Jane (Smith) Doe, son-in-law Robert Doe, and grandchildren Michael and Sarah." That one sentence just gave me a maiden name, a married name, a spouse, and two more branches to follow. I cross-reference those names go into Ancestry, FamilySearch, public records. Each one can lead to another obituary, another set of names, another generation. One obituary can crack open an entire branch of a family tree that was completely stuck. What to look for: Maiden names in parentheses (this is gold) "Preceded in death by" (gives you the generation above) Church names, lodge memberships, military service (open up whole new record sets) Locations mentioned (where they lived, where they're buried, where they moved from) Don't just search for the person you're looking for. Search for their siblings, their parents, their in-laws. Sometimes the obituary you need isn't theirs. It's their brother's, and your person is listed as a survivor. One good obituary can save you 20 hours of digging.
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114
0
Elder Fraud Response & Digital Evidence Preservation
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1
0
Investigating the Town Swallowed by a Copper Mine
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4
0
Highway Safety Investigation That Reached the Legislature
0
4
Data Analyst
(1)
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Joseph Mienko
Everett, USA
Social data scientist creating impactful solutions
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Social data scientist creating impactful solutions
0
The Child Well-Being Data Portal
0
7
0
RODIS
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12
0
Sprout
0
6
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Hariharasudhan T
Mill Creek, USA
Full stack developer, AWS, GCP, Real time analytics.
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Full stack developer, AWS, GCP, Real time analytics.
0
USDA Health Score Prediction Using Deep Learning
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12
0
Swift Soft Jobs Project
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5
0
Hariharasudhan's Personal Portfolio Website
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11
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(1)
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