Freelancers using Tableau
Freelancers using Tableau
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Lucinda Beeson
pro
United Kingdom
Data Engineering and Automation
$10k+
Earned
1x
Hired
21
Followers
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Data Engineering and Automation
2
E-commerce Demographic Analytic
2
99
3
LLM Risk Assessment & Content Analysis for UK Tabloid
3
34
1
Data Modelling in Python
1
18
1
Financial Analysis with NLP - Investigating soft influence
1
15
Tableau
(1)
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Devowise .
Pakistan
Software Engineer · iOS/Android · Big Data · AI · UX/UI
$5k+
Earned
2x
Hired
5.0
Rating
55
Followers
expert
expert
+5
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Software Engineer · iOS/Android · Big Data · AI · UX/UI
0
Tableau - E-Commerce Insights Dashboard
0
13
0
Neeman's - Azure-Based E-commerce Data Pipeline
0
8
0
QlikView and Qlik Sense Dashboards
0
10
0
PAUS Soda - Branding
0
0
Tableau
(3)
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Jonathan Martinez
pro
Brooklyn, USA
Fractional Product Strategist
$1k+
Earned
3x
Hired
5.0
Rating
28
Followers
Top
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Fractional Product Strategist
0
HelpfulHand AI
0
7
0
DriveLine AI
0
9
0
Design For Impact
0
6
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Tableau
(1)
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Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
256
Followers
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Go to sleep, may your sweet dreams come true...
37
For this week’s #contraquest, I want to share the project that means the most to me. A Data Analysis of the Film Noir Era (1940–1962) On the surface, it’s a data pipeline: raw Excel, Python ETL, Tableau dashboard... The minor reason it’s special is that I stepped outside my comfort zone and used Tableau instead of my usual Power BI. But the major reason is personal. This topic, American Film Noir, takes me back to my last year of high school, when I wrote a monograph on the genre’s Golden Age. Revisiting it now, through the lens of data analysis, felt like reconnecting with a piece of my past. Check it out on my GitHub repo (https://github.com/ciroduro01/Film_Noir_Movies/tree/main), or read the Medium article (https://medium.com/@ciroduro01/shadows-cinema-a-data-analysis-of-the-film-noir-era-1940-1962-b2dd80cde76c).
6
37
1.9K
17
It’s summer in the Southern Hemisphere, and families in this area are heading to the beach. One of the most amazing places to visit is Florianópolis, known for its vibrant culture and seaside charm. To understand what makes the city’s Mercado Público so special, I built an end‑to‑end data pipeline: scraping Google Maps reviews with Python and Selenium, storing them in PostgreSQL, and categorizing them with Pandas. The insights are visualized in an interactive Tableau dashboard. It's also the first time I used another tool: Beekeeper! This project blends data engineering, sentiment analysis, and business intelligence to highlight how people experience one of Brazil’s most beloved destinations. You can explore my GitHub repo (https://github.com/ciroduro01/floripa_tourism_analysis) for more information. Have a nice week! ♥️
2
17
860
1
Financial Market Analysis: Stocks & Crypto Volatility
1
0
4
Heritage Soil Station: A NZ Website
4
7
Tableau
(3)
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USMAN AKINTOBI
Nigeria
Making Sense of Data to Drive Decisions
5.0
Rating
6
Followers
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Making Sense of Data to Drive Decisions
2
DSP Asset Managers
2
26
1
Housing Dashboard
1
4
1
Energy Dashboard
1
6
1
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
1
26
Tableau
(3)
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Darren Pierson
Wildwood, USA
Excel & Power BI Freelancer | Clean Reporting, On Time
11
Followers
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Excel & Power BI Freelancer | Clean Reporting, On Time
0
Interactive Tableau Map – U.S. & Canada Breweries
0
4
0
Sales KPI Insights in Tableau
0
33
0
Sales Waterfall Upgrade in Tableau
0
4
2
Power BI Dashboard for SPIFF Incentive Tracking
2
16
Tableau
(3)
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Mikita Drozd
Warsaw, Poland
Certified Senior Tableau Developer, Designer, Consultant
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Certified Senior Tableau Developer, Designer, Consultant
0
World Health Organisation | Sustainable Development Goals
0
7
0
KPI Dashboard: Operations
0
1
0
Marketing Campaign KPI Dashboard
0
3
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Tableau
(3)
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Drashti Patel
New Jersey, USA
The DataSavvy Analyst
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The DataSavvy Analyst
2
Case Study Analysis: Exploring India's COVID-19 Journey
2
56
0
Exploratory Visual Data Analysis: The Opioid Epidemic
0
37
1
Predictive Analytics: Gun Violence in Tristate Cities
1
23
0
Analyzing Spotify and YouTube Songs Using Python & MySQL
0
175
Tableau
(3)
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