Anurag G.

Key Skills

Software

Other

Data Annotation Tech

Mercor

Micro1

Top Subject Matter

Lean Six Sigma Operations and AI Manufacturing Implementation

Private equity FP&A KPI reporting and analytics

Procurement analytics for portfolio company operations

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Bounding Box

Segmentation

Entity (NER) Classification

RLHF

Question Answering

Fine-tuning

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

E-commerce Sales Intern at L'Oréal (automation and data collection for pricing changes). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Power BI. Education includes Bachelor of Science, Georgia Institute of Technology (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection and Classification.

Labeling Experience

Business Analyst (bid approval workflow deployment) at Tenex Capital Management

TextData Collection

Designed and deployed an end-to-end bid approval workflow within a sales platform to improve margin consistency. Used analytics outputs to protect realized cost savings by enforcing a structured approval process. Translated performance metrics into operational workflow changes. • Implemented bid approval workflow logic within a sales platform • Improved gross margin consistency by 60% • Reinforced governance to protect realized savings • Operationalized analytics into repeatable workflow controls

2023 - Present

Operations Associate at Tenex Capital Management (Lean Six Sigma + AI-enabled analytics)

OtherTextData Collection

Applied Lean Six Sigma and AI-enabled analytics to diagnose production bottlenecks in a high-volume manufacturing environment. Built financial and operational models in Excel to quantify improvement opportunities and estimate annualized savings. Used structured operational analysis to identify waste reduction effects and support process optimization initiatives. • Diagnosed bottlenecks using AI-enabled analytics • Modeled a 1-gram/pie fill reduction opportunity in Excel • Quantified $500K annualized YoY savings • Reduced material waste via data-driven process optimization

2023 - Present

Operations/Business Analyst (procurement KPI development and analysis) at Tenex Capital Management

OtherTextClassification

Developed procurement KPIs across portfolio companies to support vendor negotiation and cost optimization decisions. Performed advanced financial analysis using Excel and SQL (Snowflake) to surface cost-saving opportunities across a large subcontractor network. Standardized procurement spend by translating analytical findings into consistent procurement practices. • Created procurement KPI sets across multiple portfolio companies • Queried and analyzed data in SQL/Snowflake for a 300+ subcontractor network • Identified $1.4M in cost-saving opportunities • Standardized procurement spend based on analysis outputs

2023 - Present

Private Equity Operations Associate (FP&A Rotation) at Tenex Capital Management (KPI and reporting data work)

Data Collection

Designed and implemented KPI frameworks by defining metrics and linking them to employee performance targets. Built automated executive dashboards in Power BI to visualize operational and financial measures and reduce recurring reporting time. Streamlined monthly reporting packages by consolidating multi-entity financial data using advanced Excel workflows. • Defined and implemented 45 KPIs for goal-based bonus attribution • Automated reporting with executive dashboards in Power BI • Consolidated multi-entity financial data using Excel (PivotTables, XLOOKUP, Power Query, dynamic arrays) • Improved decision-making speed via data-backed reporting automation

2023 - Present

E-commerce Sales Intern at L'Oréal (automation and data collection for pricing changes)

TextData Collection

Created a prototype automation tool to collect promotional pricing data and identify Amazon-led price changes. Supported reporting accuracy improvements and forecast refinement using the collected data. Collaborated with directors and financial analysts to validate data inputs and outputs. • Automated collection of promotional pricing inputs • Flagged detected changes for internal decisioning • Improved downstream sales reporting and forecasting • Contributed to e-commerce revenue growth through analysis-driven actions

2022 - 2022

Education

Work History