John

Data Analyst | Python, SQL & Spreadsheet Automation Specialist

Verified

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Overview

Looking for work (0 hours/day)

at $0.00/hour ($0.00/month)

Bachelor's degree

Last Active

June 24th, 2026 (14 days ago)

Member Since

May 6th, 2026

Profile Description

I help businesses automate repetitive tasks using Google Sheets and Google Apps Script.

My services include:
• Spreadsheet automation
• Dashboard creation
• Data cleaning and transformation
• Automated reports
• Email-to-Sheets workflows
• Custom formulas and integrations

I have experience building:
• Budget pacing dashboards
• Weekly and monthly reporting systems
• Invoice extraction workflows
• Data consolidation tools

I focus on creating reliable, easy-to-use systems that save time and reduce manual work.

If you need help automating your spreadsheets or improving your reporting process, I'd be happy to assist.

Top Skills

Office and Administration » Google Sheets

Experience: 6 months - 1 year

Worked under a Lead Analyst to build and maintain advanced Google Sheets systems for automation, reporting, and dashboard creation. Proficient in complex formulas such as BYROW, LAMBDA, SCAN, MAP, FILTER, QUERY, and ARRAYFORMULA, with experience connecting multiple spreadsheets and automating business workflows.

Office and Administration » Data analysis

Experience: 6 months - 1 year

Worked under a Lead Analyst to clean and analyze business data, create reports and dashboards, and identify trends and insights that support decision-making and process improvements.

Office and Administration » Google Workspace » Apps Script

Experience: 6 months - 1 year

Worked under a Lead Analyst to develop Google Apps Script solutions for automating email reports, integrating APIs with Google Sheets, transferring data between spreadsheets, and streamlining business workflows.

Other Skills

Office and Administration » Microsoft Excel

Experience: Less than 6 months

Primarily work in Google Sheets, but able to import, clean, and automate Excel files and convert them into automated reporting and dashboard solutions.

Web Programming » Javascript

Experience: 6 months - 1 year

Use JavaScript within Google Apps Script to build custom automations, API integrations, and workflow solutions.

Software » Python

Experience: Less than 6 months

Used Python to build ETL pipelines for cleaning, transforming, and validating large CSV datasets. Developed automation workflows for data processing, fuzzy matching, API integration, and exporting reports to Google Sheets and Looker Studio.

Software » Databases » SQLite

Experience: Less than 6 months

Used SQL and SQLite to create business reporting queries, generate KPIs, and analyze sales performance. Experienced with aggregations, joins, filtering, and monthly reporting for product, category, and regional analysis.

Web Programming » HTML

Experience: 6 months - 1 year

Used HTML to build and format web pages, email templates, and custom interfaces for automation and reporting solutions.

Basic Information

Age: 25

Gender: Male

Website: Sign Up with Pro Account to View

Address: Cauayan, Negros Occidental

Tests Taken: IQ
Score: 112: DISC
Dominance: 24%
Influence: 10%
Steadiness: 36%
Compliance: 30%: English
C1(Advanced)

Government ID: Sign Up with Pro Account to View

“I can't be happier!”

Brian McAlister

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“My life has gotten so much better. It changed my life, and I know it can change yours”

- Lukas Rohler

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BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0268
Total Execution Time	0.0282

GET DATA

No GET data exists

MEMORY USAGE

1,610,072 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4979309

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0166 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0010	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4979309' LIMIT 1
0.0024	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4979309'
0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4979309'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4979309' AND `is_private` = 1
0.0003	`SELECT * FROM employment WHERE jobseeker_id = '4979309' 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 = '4979309' 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 = 4979309 LIMIT 1`
0.0004	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 4979309 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4979309' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0004	`SELECT *, DATEDIFF('2026-07-08',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0012	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4979309'
0.0024	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0018	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` = '4979309' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4979309'
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()
0.0003	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
0.0002	`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 = ''`
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1783541826
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4979309
csrf-token	57b5dddc7f02bc48e10037cc917202a7

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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cookie_path	/
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csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
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csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
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ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
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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	216.73.216.196
HTTP_DNT