Algy M.

Key Skills

Software

Don't disclose

Top Subject Matter

Insurance/customer analytics (churn, credit default risk, cross-sell optimization)

marketing experimentation

LLM-based email automation

Top Data Types

Document

Text

Computer Code Programming

Top Task Types

Data Collection

Computer Programming/Coding

RLHF

Freelancer Overview

Data Scientist at Clear Business (Oct 2023 – Oct 2025): ML implementation and experimentation with substantial data prep. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Databricks, Hyperopt, and PowerBI. Education includes Master of Science, University of Hull, Hull (2023) and Bachelor of Science, Beijing Institute of Technology (2022). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

Data Scientist at MarkerStudy Group (Oct 2025 – Present): ML-based pricing optimization and opportunity identification requiring training/analysis datasets.

DocumentData Collection

Built data-driven insurance pricing and opportunity models by benchmarking internal premiums against competitor market data and analyzing premium/discount effects. Developed baseline machine learning models and predictive systems to support risk-factor evaluation and pricing adjustments. Performed exploratory data analysis and segmentation on missed opportunities to identify target demographics and improve quoting reach. • Modeled price elasticity and evaluated promotional impact of discount structures on premiums and conversion. • Identified underpriced policies by benchmarking internal pricing with competitor data. • Engineered a real-time pricing adjustment model for underpriced segments. • Conducted segmentation and EDA on missed opportunities to profile high-value demographics.

2025 - Present

Data Scientist at Clear Business (Oct 2023 – Oct 2025): ML implementation and experimentation with substantial data preprocessing and dataset preparation for model training.

DocumentData Collection

Implemented machine learning workflows for churn, credit risk, and cross-sell that required preparing and transforming training data for model use. Built and maintained datasets through data cleaning, wrangling, and feature engineering to ensure data quality for supervised modeling tasks. Supported experimentation such as A/B testing to validate model and campaign outcomes. • Prepared and cleaned data for XGBoost/LightGBM models using Bayesian hyperparameter tuning. • Engineered and trained a credit risk classifier based on default propensity signals. • Conducted A/B testing for campaigns to measure engagement and adoption improvements. • Developed an email automation solution leveraging LLMs (prompt/response workflows) to support customer communication tasks.

2023 - 2025

Market Research Intern at University of Hull (Apr 2022 – Aug 2022): AI/DS training needs assessment via surveys and interviews.

DocumentData Collection

Performed market research and course/provider analysis using surveys and interviews, producing structured datasets and recorded responses for recruitment and needs assessment. Categorized target groups, knowledge gaps, and interest in Data Analytics/AI/ML CPD offerings to inform training recommendations. Used the collected qualitative information to improve domain understanding of available AI/DS continuing education opportunities. • Conducted surveys/interviews to assess knowledge gaps and training interest. • Identified AI/DS CPD providers, target groups, and market size. • Evaluated effective advertising approaches for recruiting trainees. • Synthesized survey findings to refine course domain knowledge and recommendations.

2022 - 2022

Education

Work History