Aj

Data Scientist

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Overview

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

at $4.20/hour ($800.00/month)

Bachelors degree

Last Active

June 20th, 2025 (316 days ago)

Member Since

June 10th, 2023

Profile Description

I am a data scientist and statistician with expertise in statistical analysis, machine learning, web scraping, and data mining. My educational background includes a degree in BS Statistics from Mindanao State University - Iligan Institute of Technology. I am proficient in Python and R, with experience in using scikit-learn and TensorFlow for machine learning. Additionally, I have worked with both SQL and NoSQL databases and have hands-on experience in web scraping using Scrapy and Playwright.
During my internship and undergraduate thesis, I focused on predictive analytics for improving university admissions. I have also consulted on various undergraduate theses in education and business, including a project on market segmentation that led to improved sales and distribution strategies for a company. I am driven to apply my skills and knowledge to drive data-driven decision-making and solve real-world problems.
Overall, I am a dedicated data scientist and statistician seeking opportunities to contribute to innovative projects and collaborate with cross-functional teams.

Top Skills

Office and Administration » Microsoft Excel

Experience: Less than 6 months

Web Programming » Python

Experience: 1 - 2 years

I possess strong Python skills and am proficient in utilizing Python for data analysis, statistical modeling, and machine learning. I have hands-on experience with popular Python libraries such as scikit-learn and TensorFlow, enabling me to develop efficient and scalable data-driven solutions. Additionally, I am skilled in web scraping using Python frameworks like Scrapy and Playwright, allowing me to extract valuable data from static and dynamic websites. My Python expertise positions me well for tackling complex data challenges and delivering impactful insights.

Cloud Services » Google Cloud » Machine Learning

Experience: 2 - 5 years

I have advanced machine learning skills and extensive experience in applying machine learning algorithms and techniques to solve complex problems. With expertise in using frameworks such as scikit-learn and TensorFlow, I can develop and implement predictive models for various applications. I have a deep understanding of data preprocessing, feature engineering, model selection, and evaluation. My proficiency in statistical analysis and knowledge of advanced machine learning concepts enable me to effectively extract valuable insights and make data-driven decisions. Overall, I am well-equipped to tackle machine learning projects and contribute to the development of intelligent solutions.

Other Skills

Web Programming » Javascript

Experience: Less than 6 months

Software » Databases » PostgreSQL

Experience: Less than 6 months

Software » Databases » NoSQL

Experience: Less than 6 months

Basic Information

Age: 26

Gender: Male

Website: Sign Up with Pro Account to View

Address

Tests Taken: None

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0247
Total Execution Time	0.0261

GET DATA

No GET data exists

MEMORY USAGE

1,581,776 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2773324

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0153 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2773324' LIMIT 1
0.0016	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '2773324'
0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2773324'
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2773324' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '2773324' 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 = '2773324' AND employers.deactivate = 0 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`
0.0003	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 2773324 LIMIT 1`
0.0005	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 2773324 LIMIT 1`
0.0008	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2773324' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0003	`SELECT *, DATEDIFF('2026-05-02',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0004	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0006	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2773324'
0.0027	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0009	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` = '2773324' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2773324'
0.0004	`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()
0.0005	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
0.0004	`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 = ''`
0.0004	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1777691372
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/2773324
csrf-token	b10898afcdbd8da9a84438c49ac3d8d4

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
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uri_protocol	PATH_INFO
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language	english
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enable_query_strings
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log_file_permissions	420
log_date_format	Y-m-d H:i:s
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sess_regenerate_destroy
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cookie_path	/
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csrf_cookie_name	csrf_cookie_name
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csrf_regenerate	1
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
REMOTE_HOST
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SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.75
HTTP_DNT