Freelancers using Clean Spreadsheets
Freelancers using Clean Spreadsheets
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Andrei Haret
Chișinău, Moldova
Paid media expert scaling SaaS, e-com & B2B
$1k+
Earned
1x
Hired
4
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Paid media expert scaling SaaS, e-com & B2B
0
Alpine Perfect | From Zero to Qualified Appointments in 60 Days
0
15
1
Managing $1M+ Monthly Ad Spend: Scaling a Global Leader
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15
1
Scaling Regulatory Compliance Leads to $1M Revenue | Google Ads
1
74
1
Smart Glass Technologies Ad Campaign Optimization
1
17
Clean Spreadsheets
(1)
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Geethasree Naguboina
pro
Hyderabad, India
Excel & KPI Dashboards for Small Business Decisions
91
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Excel & KPI Dashboards for Small Business Decisions
2
Excel Data Cleanup → Dashboard Reporting
2
14
5
I used to spend hours cleaning messy Excel files manually. Now? I use AI tools to cut that time in half — and deliver better results to my clients. Here's how AI has changed my freelance data workflow: 🔹 Faster data cleaning Instead of manually hunting for duplicates and formatting errors, I use AI to flag inconsistencies instantly. What used to take 2 hours now takes 30 minutes. 🔹 Smarter dashboard structure Before building any dashboard, I use AI to help me think through what metrics actually matter for that specific business — not just what looks good. 🔹 Better client communication I use AI to help me write clearer project summaries and delivery notes — so clients understand exactly what they're getting and why it matters. But here's what AI can't replace: ✔ Understanding what a CA firm actually needs vs what a D2C brand needs ✔ Knowing when a number looks wrong before the formula catches it ✔ The judgment that comes from actually working with real business data AI is a tool. The thinking is still yours. If you're a small business owner or CA firm drowning in Excel data — I can help you turn it into something you can actually use. DM me or check my portfolio 👇 geethasree-data-support-cr241o7.gamma.site (http://geethasree-data-support-cr241o7.gamma.site)
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5
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Title: The difference between tracking data and understanding it Most businesses are tracking data. Very few are understanding it. There is a difference — and it shows up in how decisions get made. Tracking data means you have numbers somewhere. A spreadsheet updated every week. A report sent every month. An export sitting in someone's downloads folder. Understanding data means those numbers tell you something specific. This channel is growing. This SKU is draining margin. This client segment is not renewing. Something you can act on before it becomes a problem. The gap between the two is almost never about having more data. It is about structure. Unstructured data gives you a feeling that things are being measured. Structured data gives you a direction. I work with founders and business owners who have plenty of the first and very little of the second. The fix is usually simpler than they expect — not a new software, not a bigger team. Just a cleaner system around the data they already have. If your numbers are being tracked but not really being used — that is the gap worth closing first.
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Title: Your data is not the problem. The structure is. Most business owners I speak to are not short on data. They have spreadsheets. Exports. Reports sent every month. Numbers sitting in three different files that nobody looks at after the first week. The real problem is not missing data — it is data that cannot be read quickly enough to change a decision. A 5,000 row export tells you nothing at a glance. But a single dashboard showing revenue by channel, top performing SKU, and pending payments — that changes how a founder spends the next hour. I have seen this pattern across CA firms, D2C brands, and small businesses. The data exists. The structure does not. Clean structure means: One place for all numbers Metrics linked to actual decisions Flags that tell you when something needs attention — not just what the current state is If your data lives in scattered sheets and nobody is acting on it, the issue is not the data. It is the system around it. That is exactly what I fix.
2
5
298
Clean Spreadsheets
(1)
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Em :)
max
India
Pitch Deck & Presentation Expert
$50k+
Earned
29x
Hired
5.0
Rating
33
Followers
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Pitch Deck & Presentation Expert
0
Anahat Films Website Design
0
16
1
Cinematic Pitch Decks for Film & TV
1
39
0
Company Profile Pitch Deck :: The 49% Studio
0
19
0
Documentary Pitch Deck :: Re-Emerge
0
12
Clean Spreadsheets
(1)
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Kelechukwu Igu
Lagos, Nigeria
Data Entry and Web Research Specialist
New to Contra
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Data Entry and Web Research Specialist
0
Created an interactive task tracking spreadsheet in Google Sheets to demonstrate practical spreadsheet management and data organization skills. The sheet includes dropdown menus for priority and task status, checkboxes to track completion, and color-coded conditional formatting to visually highlight task urgency and progress. Filters were added to allow quick sorting and viewing of tasks by priority, status, or completion state. This demo showcases the ability to build organized, user-friendly spreadsheets that improve workflow tracking and data visibility.
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25
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Designed a Google Form to collect tenant information and linked it to Google Sheets for automated data capture. Demonstrated real-time data organization and basic charting for insights. Skills Highlighted: Google Forms, Sheets integration, automated data capture, chart creation. Visual Sample: Screenshot showing form responses in Sheets and a chart summarizing responses.
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Compiled property listings for Dubai apartments, including rent, location, amenities, and availability. Created a structured spreadsheet for easy comparison. Skills Highlighted: Data entry, online research, spreadsheet formatting, comparative tables. Visual Sample: Table showing apartment name, location, rent, parking availability and booking link.
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18
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Compiled and structured smartwatch market data, including competitor features, pricing, and demographics. Created organized Google Sheets tables to compare brands and highlight trends. Skills Highlighted: Data entry, market research, spreadsheet organization, comparative analysis, attention to detail.
0
22
Clean Spreadsheets
(4)
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Gitesh Deshmukh
Hyderabad, India
Building AI agents & apps · MSc Queen Mary of London
New to Contra
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Building AI agents & apps · MSc Queen Mary of London
0
Big-Data-Ethereum-Analysis
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1
0
CIFAR-10 Image Classification Model Development
0
1
0
GitHub - gitesh21/NLP-sentiment-analysis
0
0
0
Music Genre Classification Using Machine Learning Models
0
3
Clean Spreadsheets
(1)
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Jeevan V
Bengaluru, India
Helping teams leverage data and AI-driven solutions to solve
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Helping teams leverage data and AI-driven solutions to solve
0
Power BI Sales & Performance Dashboard
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1
0
Uber Data Analysis Using R
0
1
0
News Summarization and TTS Application Development
0
0
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(1)
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Uthara
Garfield, USA
CS Alumna from Rutgers University
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CS Alumna from Rutgers University
0
Universal Ricin Detection Model
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4
0
Allergy Prediction Model Development
0
13
0
No-Code Platform Recommendation Quiz Development
0
7
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(1)
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Victor Akehinmi
Romania
UI Designer | Aspiring Data Analyst
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UI Designer | Aspiring Data Analyst
0
Bike Buyers Data Analysis and Dashboard Creation
0
20
1
What actually drives sneaker purchases? Is it the brand, the season, discounts, or the type of customer buying? To explore this, I built an interactive Global Sneaker Sales & Customer Segmentation Dashboard to turn raw consumer data into insights businesses can use for better decision-making. • Analyzed 12,000+ sneaker purchases • Covered 9 major sneaker brands across 11 countries • Examined $2.9M+ in sneaker sales data Key Questions • Which brands generate most revenue? • When are they purchased? • Do discounts influence repeat purchases? • How do demographics affect buying behavior? Insights • Sneaker demand shows clear seasonal patterns • Discounts influence repurchase behavior • Brand performance varies across countries and demographics Curious to hear your thoughts: 👉 What do u think influences sneaker purchases the most?
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43
0
Fitness Progress Analysis and Dashboard Creation
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2
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Landing Page for a mobile app(Rentify)
0
5
Clean Spreadsheets
(1)
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