Data Entry Projects in Eau Claire
Data Entry Projects in Eau Claire
Sign Up
Post a job
Sign Up
Log In
Filters
2
Projects
People
Results that are similar to your search
Similar results
Message
12
Mehran Ali
pro
Lead Generation using LinkedIn SalesNavigator, Zoominfo & Lusha
12
655
Message
1
Isabel Feuerstein
Virtual Assistance for The Futur
1
287
Message
1
Bianca Riley
Client Invoicing System Setup
1
53
Message
0
Jason Enstedt
Kindred Ventures - Custom WordPress Theme
0
50
Message
1
Muhammad Sajjad Habib
Virtual assistant
1
194
Message
0
Martin Gargaro
Metadata Application Profile for Vessels Database
0
21
Message
1
Agustina Quesada
Assisting a Medical Student with Transferring Schools
1
18
Message
0
Md Al Amin
max
You will get Google Maps Data Scraping or Business Data with Ema
0
85
Message
0
Reina Hernandez
Customer Service Expert for St. Frock
0
16
Message
22
Victoria Rod
Virtual Assistant- Data Entry for Real Estate Company Manually transfer data from PDF to Google Sheets.
1
22
417
Message
1
Isaiah Oderinde
Data Entry Services
1
97
Message
1
Delcea Dan
Automated Lead Capture System ā Google Forms + Gmail + Google Sheets
1
79
Message
10
Geethasree Naguboina
pro
Turning messy Excel data into an interactive dashboard š In my latest Excel case study, I worked with a raw, unstructured dataset (8,700+ rows) and focused on doing the fundamentals right: ā¢ Cleaned inconsistent time, date, and text values ā¢ Structured the data for accurate analysis ā¢ Built pivot tables with day, month, and time logic ā¢ Added slicers and conditional formatting for interactivity No fancy tools ā just solid Excel workflows that make data reliable and easy to explore. This is exactly how I approach real client data: clean first ā structure next ā visualize last. š Full case study is live on my profile.
6
10
376
Message
3
Monic M
max
Optimizing Content Discoverability for Canva and Pixabay šļø
3
22
Message
4
Atanranshe Oluwabusola
NBA ANALYTICS HUB
4
63
Message
3
Bulbul Gupta
I worked on a Sentiment Analysis project where I classified customer reviews into positive, negative, and neutral categories. I performed text preprocessing, used TF-IDF for feature extraction, and applied a machine learning model to improve accuracy. This project helped me gain hands-on experience in NLP, data labeling, and model evaluation.
2
3
330
Explore projects
