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Samuel D.

Samuel D.

National Social Security Fund — Industrial Attachment (Data audit and record management)

Kenya flagEldoret, Kenya

Key Skills

Software

Other

Top Subject Matter

Social security member record management and compliance data
Predictive analytics for vehicle sales and market demand forecasting
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

National Social Security Fund — Industrial Attachment (Data audit and record management). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Dedan Kimathi University of Technology. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Entity (NER) Classification, Computer Programming, and Coding.

Labeling Experience

Laundry Service Venture — Predictive modeling tool development (Python/Streamlit project work)

Other

Built a predictive analytics tool in Python and Streamlit to forecast vehicle sales and market demand trends for stakeholders. Developed modeling and analytical workflows that transform raw inputs into actionable predictions and visual insights. Applied quantitative and risk-oriented thinking to support operational planning and decision-making. • Implemented market demand forecasting logic using Python • Created a stakeholder-facing interface with Streamlit • Designed workflows for turning data into predictions • Produced outputs for strategic planning based on modeled trends

2025 - Present

National Social Security Fund — Industrial Attachment (Data audit and record management)

TextTextEntity (NER) ClassificationEntity (NER) Classification

Performed rigorous audits of member records to ensure statutory compliance and correct data entries in a digital database. Extracted and validated contributor and pension-related information to support accurate record management. Collaborated with senior officers to troubleshoot discrepancies and improve data integrity across departmental reporting. • Member record data auditing and verification • Ensuring 100% accuracy in data entry and retrieval • Troubleshooting mismatched digital database entries • Supporting compliance-focused information management

2024 - 2024

Education

D

Dedan Kimathi University of Technology

Bachelor of Science, Actuarial Science

Bachelor of Science
Not specified

Work History

L

Laundry Service Venture

Founder and Operations Manager

Eldoret
2025 - Present
N

National Social Security Fund

Industrial Attaché (Operations and Data Assurance)

Eldoret
2024 - 2024