Francis

Data Entry Specialist & Shopify Product Lister

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mark as hired

Overview

Looking for full-time work (9 hours/day)

at $4.15/hour ($900.00/month)

Bachelors degree

Last Active

July 4th, 2026 (8 days ago)

Member Since

July 5th, 2023

Profile Description

Data Entry has been my bread and butter since I started focusing on my career. It all began in 2004 when I was in Saudi Arabia. I also have the following traits that I can contribute to you; one of my traits is that I pay high attention to detail. Being in this niche, the data must be entered accurately and without errors. This requires a meticulous approach to checking and rechecking information. Next would be my speed and my efficiency, being able to enter data quickly without sacrificing accuracy is essential for managing large volumes of information. Last but not least, I am well organized. Keeping data organized and properly filed or saved helps me ensure that it can be easily retrieved and managed later on.

Top Skills

Customer Support » Email Support

Experience: 1 - 2 years

Customer Service Representative for The RealReal for almost 2 years. Replies to the customers within 24 hours and I make sure that the issue or inquiry has been resolved in a professional way.

Office and Administration » Data Entry

Experience: 5 - 10 years

More than 10 years of experience abroad as a data entry. Process and input orders to the system in a timely manner.

SEO » Google Search Console

Experience: 6 months - 1 year

Provided with keywords that will be used to search in Google Maps and Google Search to determine ranking.

Other Skills

Marketing » Social Media Management » Facebook marketing

Experience: 6 months - 1 year

Responsible for planning, implementing, and optimizing advertising campaigns on Facebook. Also developing strategies, creating ads, targeting specific audiences, managing budgets, analyzing performance, and ultimately driving business results through increased brand awareness, engagement, and conversions.

E-Commerce » Shopify

Experience: Less than 6 months

1. Uploading new products with accurate titles, descriptions, pricing, and inventory details. 2. Uploading, resizing, and optimizing product images for a clean and professional store layout. 3. Organizing products into relevant collections and categories for easy navigation. 4. Updating product information, variants, and availability as needed. 5. Performing regular quality checks to ensure all listings meet brand standards. 6. Coordinating with marketing and design teams to ensure consistency across the website. 7. Using Shopify apps and tools to streamline the upload and update processes

Basic Information

Age: 40

Gender: Male

Website: Sign Up with Pro Account to View

Address: General Trias, Cavite

Tests Taken: IQ
Score: 125: DISC
Dominance: 31
Influence: 20
Steadiness: 35
Compliance: 14

Government ID: Sign Up with Pro Account to View

“I'm very thankful for what OFS and Onlinejobs.ph has done for me!”

Sam Sapp

SEE MORE REAL RESULTS

“That has been a game changer for me”

- Jason Tonioli

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0031
Controller Execution Time ( Jobseekers / Info )	0.0508
Total Execution Time	0.0547

GET DATA

No GET data exists

MEMORY USAGE

1,595,624 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2839088

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0363 seconds) (Show)

0.0009	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0017	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2839088' LIMIT 1
0.0037	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '2839088'
0.0019	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2839088'
0.0009	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2839088' AND `is_private` = 1
0.0009	`SELECT * FROM employment WHERE jobseeker_id = '2839088' AND hired > -1`
0.0009	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '2839088' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0009	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0010	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0009	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 2839088 LIMIT 1`
0.0010	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 2839088 LIMIT 1`
0.0012	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2839088' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0011	`SELECT *, DATEDIFF('2026-07-12',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0009	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0017	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2839088'
0.0037	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0028	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '2839088' ORDER BY `jsct`.`rate` DESC
0.0009	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2839088'
0.0008	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0009	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0009	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0009	`select * from teasers`
0.0009	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0008	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0009	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0008	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0008	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0008	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/2839088
csrf-token	932a0407878f4fcb5738737ebd2c8e8b

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enable_profiler
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
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HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.20
HTTP_DNT