Sanni M.

Key Skills

Software

Other

AWS SageMaker

Top Subject Matter

Hospitality/Customer interaction analytics

FMCG and Operations

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Data Collection

Segmentation

Classification

Question Answering

Text Summarization

RLHF

Fine-tuning

Freelancer Overview

Data Analyst, CLYNE (Customer interaction pattern analysis using NLP). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Science, Education, University of Ilorin (2017) and Associate Degree in Data Analytics, CY Ventures (2024). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Data Collection.

Labeling Experience

Freelance Hospitality Market Analyst, Ofanda Africa (market survey collection and structuring)

TextData Collection

Designed and deployed a proprietary market survey to collect operational and financial metrics from hospitality stakeholders. Structured survey responses into a consistent dataset for analysis and actionability. Enabled market gap analysis and benchmarking by turning collected survey data into normalized insights. • Collected market survey responses from hotel GMs and asset managers • Standardized and normalized responses for analysis • Built datasets supporting market gap analysis and benchmarking • Produced actionable insights from collected survey metrics

2025 - 2026

Data Analyst, Contacts CLYNE (Customer interaction pattern analysis using NLP)

OtherTextEntity (NER) Classification

Used NLP on customer interaction and text data to support business categorization and analysis. Focused on extracting signals from unstructured text to inform segmentation and operational decisions. Transformed interaction patterns into categorized outputs suitable for downstream analytics and reporting. • Analyzed customer text and interaction patterns with NLP • Built categorization logic for business grouping • Supported conversion funnel optimization insights • Informed reporting through structured categorization outputs

2025 - 2025

Education

Work History