John

Process & Reporting Automation Expert

Verified

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Overview

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

at $3.36/hour ($640.00/month)

Bachelors degree

Last Active

April 17th, 2026 (15 days ago)

Member Since

February 7th, 2022

Profile Description

Data Visualization & Process Automation Specialist (SQL, Power BI, Apps Script)

High-quality data and efficient processes are the backbone of a scaling business. I provide end-to-end support for your data needs:

•Data Visualization: Custom dashboard creation in Looker Studio and Power BI to track your KPIs in real-time.

•Data Management: Efficient Data cleaning and querying using SQL.

•Automation: Streamlining workflows via Google Apps Script (for Sheets/Docs/Gmail) and VBA (for Excel).

•Custom Apps: Developing tailored, mobile-friendly internal tools using AppSheet (Low-code/No-code).

I am dedicated to providing clean code, accurate data, and tools that are easy for your team to use.

Top Skills

Office and Administration » Microsoft Excel

Experience: 5 - 10 years

Expert in data cleansing and process automation using Microsoft Excel and VBA to drive operational efficiency.

Software » Data Engineering » SQL

Experience: 5 - 10 years

By leveraging SQL for data retrieval and preprocessing, I maintain a direct pipeline between our databases and visualization tools to ensure data accuracy for stakeholders.

Marketing » Marketing Analytics » Looker Studio

Experience: Less than 6 months

Designing automated, real-time Looker Studio reports that translate complex cross-channel data into actionable business intelligence. Expertise in streamlining data blending from diverse sources to provide a unified view of organizational KPIs.

Office and Administration » Google Workspace » Apps Script

Experience: 2 - 5 years

Developed custom Google Apps Script solutions to streamline workflows, automating complex data transformation and dynamic document creation across the Google Workspace suite.

Other Skills

Marketing » CRM » HubSpot CRM

Experience: 2 - 5 years

Optimizing CRM performance through dynamic HubSpot reporting and data visualization. I translate complex CRM activities into actionable insights that streamline sales workflows and improve forecast accuracy.

Office and Administration » Power BI

Experience: 2 - 5 years

Transforming complex datasets into interactive Power BI dashboards to drive data-driven decision-making. Skilled in DAX modeling and Power Query to build robust, scalable visualization solutions.

Project Management » Process Improvement

Experience: 2 - 5 years

Driving operational excellence through comprehensive process mapping and lifecycle analysis. I identify bottlenecks in existing workflows and implement automated solutions—leveraging SQL, VBA, and Apps Script—to streamline operations and reduce manual overhead.

Basic Information

Age: 31

Gender: Male

Website: Sign Up with Pro Account to View

Address: Rodriguez, Rizal

Tests Taken: IQ
Score: 126

Government ID: Sign Up with Pro Account to View

“I can find little blocks of time to focus so we can scale this business.”

Clearman Lawyers

SEE MORE REAL RESULTS

“We're super thrilled to have found her!”

- Laurie Stephens

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0304
Total Execution Time	0.0318

GET DATA

No GET data exists

MEMORY USAGE

1,602,672 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/1910399

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0195 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1910399' LIMIT 1
0.0049	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '1910399'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '1910399'
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1910399' AND `is_private` = 1
0.0007	`SELECT * FROM employment WHERE jobseeker_id = '1910399' AND hired > -1`
0.0006	`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 = '1910399' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0004	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 1910399 LIMIT 1`
0.0013	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 1910399 LIMIT 1`
0.0006	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '1910399' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0004	`SELECT *, DATEDIFF('2026-05-02',rebill_date) duration_rebill FROM employers WHERE employer_id = '0'`
0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0006	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '1910399'
0.0025	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0011	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` = '1910399' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '1910399'
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0002	`select * from teasers`
0.0002	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 * 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	1777698158
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/1910399
csrf-token	cefd5af32a37da10220caba6eeed9a0d

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_date_format	Y-m-d H:i:s
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csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
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csrf_exclude_uris	Array ( )
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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
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.75
HTTP_DNT