Anna

Experienced Data Processor and Delivery Executive

With Timeproof

mark as hired

Overview

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

at $4.33/hour ($832.00/month)

Bachelors degree

Last Active

October 31st, 2024 (550 days ago)

Member Since

April 2nd, 2024

Profile Description

As an experienced data executive, I help stakeholders understand and appreciate various chunks of data into useful information that drives better decision-making, progress, and other benefits. I've been exposed to projects, platforms, languages, business intelligence software, and other tools and processes that make the most out of data and analysis.

Top Skills

Office and Administration » Microsoft Excel

Experience: 2 - 5 years

Given the knowledge and experience I accumulated to build the skills with regards to data accuracy, validation, presentation leads to have a meaningful output from the chunks of data/ data bases given the specifications from the client requirements.

Office and Administration » Critical Thinking

Experience: 2 - 5 years

Proven ability to share and possess the decision making needed in crucial situation and to minimize the possible lost or issues that may incur in a sample project financial status to reach the requirements

Project Management » Process Mapping

Experience: 2 - 5 years

Collaborates with the project manager, client service and stakeholder to meet and provide the quality deliverables on agreed timeline.

Office and Administration » Client Relationship Management

Experience: 2 - 5 years

Was able to build rapport to client services to maintain, deliver the quality set of data tables and other platforms they may need from me base on the knowledge i using the previous company's platforms.

Other Skills

Cloud Services » Azure » Analytics - Data Lake Storage

Experience: 1 - 2 years

Office and Administration » Email Management

Experience: 2 - 5 years

Office and Administration » Collaboration

Experience: 2 - 5 years

This is a necessity kind of skill that helps me to grow and flourish in my previous years while exploring data analytics. With the help of my seniors and self motivation, perseverance and patience was able to collaborate and expedite deliverables and to share the knowledge that I have as well that can be helpful in the organization.

Office and Administration » Power BI

Experience: 2 - 5 years

During my years in my previous employer had the chance to use and create an heat maps using Power BI tools to publish to be useful in client service requirements. Given the raw data they had share and specifications and filters need to use and other materials to proceed an meaningful output

Office and Administration » Data analysis » Data Visualization

Experience: 2 - 5 years

Applying the correct codes using Base Proffessional will able to deliver the processed chunks of data in macros like excel, SPSS, Heatmaps using Power BI.

Basic Information

Age: 31

Gender: Female

Website: Sign Up with Pro Account to View

Address: Angono, Rizal

Tests Taken: DISC
Dominance: 39
Influence: 18
Steadiness: 34
Compliance: 9

Government ID: Sign Up with Pro Account to View

“Two superstars...took my business into the realm”

Karen McDonald

SEE MORE REAL RESULTS

“I was able to make a better decision...”

- Tatiana Davis

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0012
Controller Execution Time ( Jobseekers / Info )	0.0360
Total Execution Time	0.0381

GET DATA

No GET data exists

MEMORY USAGE

1,604,816 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/3351092

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0198 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3351092' LIMIT 1
0.0033	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '3351092'
0.0016	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '3351092'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3351092' AND `is_private` = 1
0.0003	`SELECT * FROM employment WHERE jobseeker_id = '3351092' AND hired > -1`
0.0003	`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 = '3351092' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0005	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0005	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0006	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 3351092 LIMIT 1`
0.0004	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 3351092 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '3351092' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0004	`SELECT *, DATEDIFF('2026-05-04',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0006	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '3351092'
0.0027	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0026	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` = '3351092' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '3351092'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0007	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`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0007	`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 = ''`
0.0003	`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/3351092
csrf-token	745dfa15fdf108addbf2559d29ee47da

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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
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HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_X_FORWARDED_FOR	216.73.217.38
HTTP_DNT