Ralph

Data Analyst, Financial Analyst, Process Engineer

With Timeproof

mark as hired

Overview

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

at $3.55/hour ($672.74/month)

Bachelors degree

Last Active

April 23rd, 2026 (20 days ago)

Member Since

November 2nd, 2025

Profile Description

Physics graduate with 4 years of experience in data analysis and visualization using Python, MATLAB, and Excel within output-driven and deadline-based environments. Collaborated and independently managed a process optimization project at a DOST-incubated startup, providing them with data-driven insights that helped streamline their resource allocation and improved workflow efficiency. A detail-oriented professional
motivated to solve practical data problems through rigorous analytical expertise.

Top Skills

Software » Python

Experience: 2 - 5 years

Built Python-based data analysis and modeling workflows across multiple research and analytics projects, including experimental optimization, simulation analysis, and computer vision tasks. Used NumPy, Matplotlib, and domain-specific libraries (Pybinding, Pymatgen, Mendeleev) to process, and visualize structured and unstructured datasets.

Web Programming » MatLAB

Experience: 2 - 5 years

Earned multiple MATLAB certifications from MathWorks Training Services, including Clean and Prepare Data for Analysis, Machine Learning Techniques (Cluster Analysis, Classification and Regression Methods), and Debugging and Error Handling, demonstrating formal, industry-aligned training in data preparation, modeling, and code reliability. Routinely used MATLAB in laboratory and research work for data validation, statistical analysis, and numerical modeling. Supported coursework and project work in computational physics, statistical physics, and numerical methods by implementing matrix-based computations, curve fitting, and differential equation modeling. Leveraged MATLAB’s visualization and scripting capabilities to validate model assumptions, compare simulation outputs, and generate publication-ready plots for technical reporting and presentations.

Research » Data Gathering

Experience: 2 - 5 years

Led structured data gathering across laboratory, simulation, and open-dataset environments, ensuring data accuracy, reproducibility, and analytical usability. Designed experimental data collection protocols for plasma-treated biochar studies, including parameter logging, sample tracking, and multi-run validation. Collected, cleaned, and standardized large experimental datasets to support kinetic modeling, regression analysis, and performance benchmarking. Gathered open materials and job market datasets from public sources and APIs, then transformed raw, unstructured inputs into structured, analysis-ready formats. Implemented data validation checks, cross-referencing, and quality control procedures to minimize errors, ensure consistency, and maintain high data integrity across research and analytics projects.

Other Skills

Office and Administration » Microsoft Excel

Experience: 2 - 5 years

Proficient in data analysis and visualization for laboratory work, specializing in statistical modeling to drive significant and evidence-based results. Experienced in building regression and performance models for applications like adsorption efficiency and process parameter optimization. Used Excel as a central reporting and analysis hub for collaboration and cleaner communication of experimental results.

Software » Data Engineering » SQL

Experience: Less than 6 months

Built an end-to-end SQL analytics project analyzing 2023 job postings data to identify high-paying data roles, skill demand, and salary trends across global and Philippine markets. Designed and queried a PostgreSQL database using advanced SQL techniques including CTEs, multi-table joins, aggregations, filtering, and window functions. Analyzed salary distributions (minimum, average, maximum) to compare local versus global Data Analyst compensation and career progression forecasting. Quantified skill demand and salary impact by linking job postings with skill datasets and applying a rule-based skill prioritization framework. Translated query outputs into actionable insights and dashboards using Excel, and documented queries and results using Git and Github.

Basic Information

Age: 23

Gender: Male

Website: Sign Up with Pro Account to View

Address: La Trinidad, Benguet

Tests Taken: None

Government ID: Sign Up with Pro Account to View

“"The process with OnlineJobs.ph was unbelieveably easy and simple. ..It's literally been game changing for me and for my life."”

Mike Killen

SEE MORE REAL RESULTS

“That has been a game changer for me”

- Jason Tonioli

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0231
Total Execution Time	0.0244

GET DATA

No GET data exists

MEMORY USAGE

1,404,184 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4576948

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 28 (0.0140 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0004	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4576948' LIMIT 1
0.0020	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4576948'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4576948'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4576948' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '4576948' AND hired > -1`
0.0003	SELECT `employers`.`contact_name`, `employer_comment`.`employer_comment_id`, `employer_comment`.`employer_id`, `employer_comment`.`jobseekers_id`, `employer_comment`.`employer_date`, `employer_comment`.`employer_comment`, `employer_comment`.`lastmodified`, `employer_comment`.`comment_status` FROM `employers` LEFT JOIN `employer_comment` ON `employer_comment`.`employer_id` = `employers`.`employer_id` WHERE `employer_comment`.`jobseekers_id` = '4576948' AND `employers`.`deactivate` = 0 AND `employer_comment`.`comment_status` = 'ACTIVE' ORDER BY `employer_comment_id` DESC
0.0002	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0004	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 4576948 LIMIT 1`
0.0004	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 4576948 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4576948' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0002	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4576948'
0.0022	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0023	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` = '4576948' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4576948'
0.0002	`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`
0.0002	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 = ''`
0.0003	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	1778706729
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4576948
csrf-token	d95f45dda73ef3b3cb24c3097dcb8dfa

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
url_suffix
language	english
charset	UTF-8
enable_hooks	1
subclass_prefix	MY_
composer_autoload	vendor/autoload.php
permitted_uri_chars	a-z 0-9~%.:_\=\-\+\@?\&
enable_query_strings
controller_trigger	c
function_trigger	m
directory_trigger	d
allow_get_array	1
log_path
log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
cache_path
cache_query_string
encryption_key	OdBUArjiWg9I7u7bvAwQ7Fu35VB1kzga
sess_driver	files
sess_cookie_name	ci_session
sess_expiration	2678400
sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
cookie_domain
cookie_path	/
cookie_secure
cookie_httponly
standardize_newlines
global_xss_filtering	1
csrf_protection
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
rewrite_short_tags
proxy_ips
ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
queue_enabled
twilio	Array ( [sid] => AC00c0594045c6eef9407e8fff01f3d467 [token] => f0bfc0b73444a077894a43f5f75e6d41 [length] => 6 [from] => +639221200200 [code_expiry_seconds] => 14400 )
maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
trustpilot	Array ( [to_email] => onlinejobs.ph+3d844ebf71@invite.trustpilot.com )
services	Array ( [google_tag_manager] => Array ( [id] => GTM-T5CQMS6P ) [chatgpt] => Array ( [secret] => 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 ) [claude] => Array ( [secret] => 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 ) )
v2_url	https://v2.stage.app.onlinejobs.ph
v2	Array ( [enabled] => 1 [url] => https://v2.onlinejobs.ph [api_url] => https://api.onlinejobs.ph [cookie_domain] => .onlinejobs.ph [paths] => Array ( [myaccount] => 1 ) )
replacemyself_secret_key	Kk1WpgTMkc4wBQOqC5rqCssdLhACKrsJeTtO1ywUkT4=
app	Array ( [app] => Array ( [command] => Array ( [map] => Array ( [OnlineJobs\Mailer\Command\SendEmailCommand] => OnlineJobs\Mailer\Handler\SendEmailHandler [OnlineJobs\Mail\Command\SendEmailCommand] => OnlineJobs\Mail\Handler\SendEmailHandler [OnlineJobs\Mail\Command\QueueEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueEmailPendingHandler [OnlineJobs\Mail\Command\QueueJobEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueJobEmailPendingHandler [OnlineJobs\Mail\Command\QueueUnapprovedEmailCommand] => OnlineJobs\Mail\Handler\QueueUnapprovedEmailHandler [OnlineJobs\Mail\Command\ProcessEmailQueueCommand] => OnlineJobs\Mail\Handler\ProcessEmailQueueHandler [OnlineJobs\Mail\Command\PutJobseekerEmailOnHoldCommand] => OnlineJobs\Mail\Handler\PutJobseekerEmailOnHoldHandler [OnlineJobs\Purchase\Command\RealEstateVaCourseCommand] => OnlineJobs\Purchase\Handler\RealEstateVaCourseHandler [OnlineJobs\Test\Command\HelloCommand] => OnlineJobs\Test\Handler\HelloHandler ) [middleware] => Array ( ) ) [providers] => Array ( [0] => OnlineJobs\Bus\BusServiceProvider [1] => OnlineJobs\Database\DbServiceProvider [2] => OnlineJobs\Mailer\MailerServiceProvider [3] => OnlineJobs\Support\SupportServiceProvider [4] => OnlineJobs\Employer\ServiceProvider [5] => OnlineJobs\Jobseeker\ServiceProvider [6] => OnlineJobs\Mail\ServiceProvider [7] => OnlineJobs\Postal\ServiceProvider [8] => OnlineJobs\Queue\ServiceProvider [9] => OnlineJobs\Courier\ServiceProvider [10] => OnlineJobs\Job\ServiceProvider [11] => OnlineJobs\Purchase\ServiceProvider ) ) )
meta	Array ( [facebook] => Array ( [input] => 1 [connect] => 2 [timezone] => 3 [url] => 30 [id] => 31 [photo] => 32 [name] => 33 [email] => 34 [review] => 35 ) [trust] => Array ( [government_id] => 4 [utility_bill] => 5 [selfie_photo] => 6 [profile_picture] => 7 [phone_number] => 8 [facebook] => 9 ) [verify] => Array ( [profile_picture] => 10 [government_id] => 11 [selfie_photo] => 12 [utility_bill] => 13 [address] => 14 [name] => 15 [reviewed] => 16 [government_group] => 28 [address_group] => 29 [mobile] => 38 ) [address] => Array ( [complete] => 17 [room_unit_no] => 20 [house_no] => 21 [street] => 22 [subdivision] => 23 [barangay] => 24 [city] => 25 [province] => 26 [postcode] => 27 ) [reviewed] => Array ( [similar_names] => 1 ) [name] => 18 [phone] => 19 [sms_verification_code] => 36 [resend_verification_code] => 37 [address_read] => 39 [first_name] => 100 [middle_name] => 101 [last_name] => 102 [edit] => Array ( [government_id_group] => 40 [address_group] => 41 [mobile_group] => 42 ) [salary_re_entry] => 103 [id_proof_recalibrate] => 104 [email] => 44 [mobile_verification_type] => 45 )
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	216.73.216.98
HTTP_DNT