Current Employment Status:
Hired Full Time on May 18, 2023
Hired Full Time on Jan 16, 2026

Mary

Lead Gen, Data Scraper, Researcher, Virtual Asst. Social Med

With Timeproof

mark as hired

Overview

Looking for full-time work (8 hours/day)

at $4.66/hour ($896.00/month)

Bachelors degree

Last Active

May 1st, 2026 (8 days ago)

Member Since

November 18th, 2016

Profile Description

I have a strong Data Analyst, Data Scraper, Lead Generation, Linkedin-Facebook-Twitter Scraper background, and have just a overall experience where I functioned as an independent Data Analyst, Data Scraper, Lead Generation, Linkedin-Facebook-Twitter Scraper and even a ---------- for a variety of businesses.Among other tasks, I manually research and scrape data from different types of companies where it is required to do a specific or given keyword , including Yelp for retail etc, and I have been a data analyst for united kingdom commercial power company.I earned a reputation among my clients for ensuring satisfaction, and I would be happy to supply a list of client references.I would very much enjoy discussing the possibility of our working together.I look forward to hearing from you.

Top Skills

Real Estate » Lead Generation

Experience: 2 - 5 years

As a lead generation, I do usually generate information from twitter, facebook, Manual search and other search engine that employers requires so sometime it is my initiative to do the engine searching but the keyword is provided by the employer. Another things is that usually being a data analyst I am required to do some data scraping like Company Name, Webiste, Contact Person, Phone, email ( usually company emali required) phone etc.

Office and Administration » Admin Data Processing

Experience: 2 - 5 years

Office and Administration » Data Entry

Experience: 2 - 5 years

I've been collecting data in linkedin, hubspot and other CRM that I put in the spreedshet

Other Skills

Office and Administration

Experience: 1 - 2 years

I've been doing phone calls with the company and email every customer.,

Software » Databases » Boolean Search

Experience: 5 - 10 years

Office and Administration » Data Collection

Experience: 5 - 10 years

Office and Administration » Data analysis » Data scraping

Experience: 5 - 10 years

Marketing » CRM » HubSpot CRM

Experience: 5 - 10 years

Marketing » Social Media Management » Facebook marketing

Experience: 5 - 10 years

Marketing » Social Media Management » Instagram marketing

Experience: 5 - 10 years

Customer Support » Sales Support » Lead Generation

Experience: 5 - 10 years

Marketing » LinkedIn Marketing

Experience: 5 - 10 years

Customer Support » Sales Support » Prospecting

Experience: 5 - 10 years

Research » Data Gathering

Experience: 5 - 10 years

Virtual Assistant

Experience: 5 - 10 years

Basic Information

Age: 29

Gender: Female

Website: Sign Up with Pro Account to View

Address: Iligan City, Lanao del Norte

Tests Taken: IQ
Score: 88: DISC
Dominance: 20
Influence: 20
Steadiness: 44
Compliance: 16

Government ID: Sign Up with Pro Account to View

“My virtual assistant literally changed my life.”

Cody Russell

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“This will change your business!”

- Atiba

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BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0544
Total Execution Time	0.0566

GET DATA

No GET data exists

MEMORY USAGE

1,661,312 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/369125

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0304 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0016	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '369125' LIMIT 1
0.0047	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '369125'
0.0011	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '369125'
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '369125' AND `is_private` = 1
0.0045	`SELECT * FROM employment WHERE jobseeker_id = '369125' AND hired > -1`
0.0005	`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 = '369125' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0003	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0005	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0003	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 369125 LIMIT 1`
0.0024	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 369125 LIMIT 1`
0.0015	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '369125' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0016	`SELECT *, DATEDIFF('2026-05-09',rebill_date) duration_rebill FROM employers WHERE employer_id = '604907'`
0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0003	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '369125'
0.0042	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0027	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` = '369125' ORDER BY `jsct`.`rate` DESC
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '369125'
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1778317573
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/369125
csrf-token	a8ae8491e63a3d396c0f416434d73acf

CONFIG VARIABLES (Show)

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log_threshold	2
enable_profiler
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uri_protocol	PATH_INFO
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enable_query_strings
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log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
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sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
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cookie_path	/
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csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
csrf_expire	7200
csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
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maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
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
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.132
HTTP_DNT