Michelle

Virtual Assistant/Support/Credit Repair Analyst

Verified

mark as hired

Overview

Looking for any work (4 hours/day)

at $4.07/hour ($400.00/month)

Bachelor's degree

Last Active

September 5th, 2026 (6 days ago)

Member Since

April 7th, 2026

Profile Description

Detail-oriented and highly organized Data Entry Specialist with experience in loan processing, data management, product research, real estate appraisal, and credit repair support within a commercial banking environment. Proven ability to handle personal and business loan applications, verify client information, and ensure all documents are complete, accurate, and submission-ready.

In addition to my banking experience, I have developed knowledge of the credit repair process, including reviewing credit reports, identifying discrepancies, and supporting dispute documentation. I understand the importance of accuracy and compliance when handling sensitive financial data, and I am committed to maintaining confidentiality while helping improve clients’ financial standing.

As a Real Estate Appraiser for a commercial bank, I gained strong expertise in property valuation, market analysis, and assessing comparable sales to support sound lending decisions. This role enhanced my analytical skills, attention to detail, and ability to work with high-value financial data under strict regulatory standards.

Skilled in managing large volumes of data with precision, I consistently identify inconsistencies and contribute to improving workflows for greater efficiency. I am proficient in using digital tools, maintaining data integrity, and ensuring quality control across all tasks.My strong problem-solving and critical thinking abilities, combined with experience in product research and market analysis, allow me to support efficient operations and contribute to informed business decisions.

I am currently seeking part-time opportunities where I can apply my expertise in loan processing, data entry, data management, real estate analysis, and credit repair support, with a strong focus on accuracy and quality. I am reliable, efficient, and committed to delivering high-quality, error-free work.

I am also eager to learn new skills, take on additional responsibilities, and continuously improve. I value teamwork, clear communication, and building strong professional relationships.

I look forward to the opportunity to contribute to your business and support its growth efficiently.

Top Skills

E-Commerce » Product Research

Experience: Less than 6 months

Customer Support » Sales Support » Credit Repair

Experience: Less than 6 months

Office and Administration » Data Entry

Experience: Less than 6 months

Other Skills

E-Commerce » Ebay » Listing Management

Experience: 1 - 2 years

E-Commerce » Shopify

Experience: 1 - 2 years

Customer Support » Sales Support » Lead Generation

Experience: Less than 6 months

Loan Processing

Experience: Less than 6 months

Professional Services » Management Services » E-Commerce Management » Product Listing

Experience: Less than 6 months

Basic Information

Age: 37

Gender: Female

Website: Sign Up with Pro Account to View

Address: Manila, Metro Manila

Tests Taken: IQ
Score: 84: DISC
Dominance: 40
Influence: 17
Steadiness: 19
Compliance: 24: English
C2(Advanced/Mastery)

Government ID: Sign Up with Pro Account to View

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

Karen McDonald

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BENCHMARKS

Loading Time: Base Classes	0.0009
Controller Execution Time ( Jobseekers / Info )	0.0351
Total Execution Time	0.0370

GET DATA

No GET data exists

MEMORY USAGE

1,610,848 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4896625

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0184 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0006	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4896625' LIMIT 1
0.0018	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4896625'
0.0005	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4896625'
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0.0004	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4896625' AND `is_private` = 1
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0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
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0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
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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)

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