It’S A.

Key Skills

Software

Don't disclose

Top Subject Matter

Last-mile analytics data quality and geocoding

Strategic analytics for agronomy

feature engineering

Top Data Types

Text

Video

Image

Top Task Types

Geocoding

Data Collection

Prompt + Response Writing (SFT)

Transcription

Text Generation

Classification

Freelancer Overview

Amazon — Data Specialist, Last-Mile Analytics & Quality (2025–Present). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Bachelor of Technology, IIIT Vadodara (2025) and Higher Secondary Certificate, S International College (2020). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Text and labeling workflows including Geocoding, Computer Programming, and Coding.

Labeling Experience

Amazon — Data Specialist, Last-Mile Analytics & Quality (2025–Present)

Don't discloseGeocoding

Performed SQL- and Excel-based audits to identify and correct address and geocode inconsistencies in last-mile datasets. Focused on improving location accuracy by validating entries against expected geocoding standards and tracking recurring issues for downstream quality improvements. Supported engineering by analyzing exception patterns and recommending corrective actions to reduce delivery-related data errors. • Corrected 1K+ address/geocode issues weekly. • Ensured >98% accuracy across last-mile geospatial records. • Reduced delivery exceptions by 15% through root-cause pattern analysis. • Trained team members on SOPs and SQL/Excel workflows used for ongoing data quality checks.

2025 - Present

NACCropScience — Data Analyst Intern (Strategic Analytics) (Dec 2024–May 2025)

Text

Built end-to-end agribusiness analytics pipelines to preprocess and analyze large volumes of farm and sales records. Engineered features and trained classical ML models (e.g., linear regression, decision trees, and random forests) to support predictive analytics. Delivered automated ETL workflows and reproducible data processing to enable consistent model-ready datasets. • Preprocessed and analyzed 1M+ farm & sales records using Python and MySQL pipelines. • Trained ML models including Random Forest (R2 = 0.83). • Developed Power BI dashboards for demand, season trends, and weather impact. • Automated ETL workflows, reducing manual reporting effort by 40%.

2024 - 2025

Education

Work History