Yug P.

Key Skills

Software

Other

Top Subject Matter

Data analytics simulation for business KPI reporting and data cleansing

Transactional data EDA for risk insights and anomaly detection

Machine learning model development for sports performance prediction

Top Data Types

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Data Analyst (Virtual Job Simulation) — Tata Group (Forage Platform). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Computer Applications, J.G. University (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Lead Developer & Data Modeler (Python Engine) — MMA Athlete Performance & Prediction Engine

Other

Led the development of a predictive machine learning pipeline for an athlete performance and matchup forecasting project. Designed an end-to-end data preprocessing and aggregation workflow for a dataset covering 15 performance variables and historical matching metrics. Evaluated multiple classification models using hyperparameter tuning to improve forecasting accuracy and precision. • Built an end-to-end predictive pipeline with data aggregation and preprocessing. • Modeled using 15 athletic performance variables and historic competitive matching metrics. • Performed hyperparameter tuning to optimize model accuracy and precision. • Implemented model evaluation for forecasting matchups.

2026 - 2026

Data Analytics Specialist (Virtual Job Simulation) — Deloitte Australia (Forage Platform)

Other

Completed a virtual consulting-style analytics simulation for Deloitte Australia centered on data model architecture and risk-oriented exploratory analysis. Performed deep-dive exploratory data analysis on 5,000+ transactional rows to identify statistical anomalies and manage structural null values. Produced data-backed strategic recommendations mapped to simulated operational workflows and benchmark performance. • Conducted exploratory data analysis on transactional records (5,000+ rows). • Detected statistical anomalies and handled structural null values. • Performed risk-oriented insights as part of the simulated client work. • Formulated five strategic recommendations using trend mapping to align workflows with benchmarks.

2026 - 2026

Data Analyst (Virtual Job Simulation) — Tata Group (Forage Platform)

OtherPrompt + Response Writing (SFT)

Completed an immersive virtual data analytics simulation for Tata Group focused on preparing and cleansing complex datasets for downstream analysis and reporting. Built Python prompt templates and scripts to automate data cleansing across more than 10,000 unorganized entries. Produced executive-ready analytics outputs by transforming processed business data into interactive dashboards. • Automated data cleansing workflows using Python scripts and prompt templates. • Processed and cleaned datasets containing 10,000+ unorganized records. • Converted cleaned business metrics into four interactive Power BI executive views. • Optimized KPI tracking to reduce internal data review cycle time.

2026 - 2026

Education

Work History