Sakshi K.

Key Skills

Software

Other

Top Subject Matter

Structured datasets

data quality assurance

SQL-based data processing

Top Data Types

Text

Document

Image

Top Task Types

Classification

Data Collection

Text Generation

Text Summarization

Question Answering

Evaluation/Rating

Transcription

Object Detection

Freelancer Overview

SQL Developer focusing on data validation, cleaning, and dataset quality review (Chetak Infotech). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Engineering, Sandip Institute of Technology and Research Center (2023) and Professional Data Analyst Certification, IPCS Global (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

SQL Developer focusing on data validation, cleaning, and dataset quality review (Chetak Infotech)

During the SQL Developer role, performed repeated data validation and cross-checking to ensure structured dataset accuracy. Conducted systematic review to identify inconsistencies and resolve data quality issues for reporting and insight generation. Supported quality assurance practices aligned with AI training-style data review workflows. • Data validation and cross-checking to reduce reporting errors • Identifying inconsistencies across multiple structured datasets • Cleaning and maintaining high-accuracy structured datasets • Collaborating on requirements to support actionable insights

2025 - Present

SQL and Excel-based data analytics & AI support practice projects

OtherData Collection

In Data Analytics & AI Support practice projects, carried out dataset preparation and labeling-like annotation tasks as practice for AI support and quality assurance. Built SQL/Excel-based analytical outputs while performing validation, categorization, and review tasks on structured datasets. Demonstrated attention to detail by following structured guidelines for consistent results. • Practiced data labeling/annotation and structured data categorization • Performed data cleaning, processing, and validation for consistency • Created reports/dashboards to support analysis readiness • Focused on accuracy, consistency, and guideline adherence

2024

Excel Data Cleaning & Validation projects with data annotation and validation

OtherTextClassification

In Excel Data Cleaning & Validation projects, annotated and categorized records in messy business datasets to improve consistency and correctness. Performed validation checks for duplicates, missing values, formatting inconsistencies, and invalid entries. Applied structured data processing and quality assurance practices commonly used in AI training data-labeling pipelines. • Data annotation, categorization, and quality checks • Validation for duplicates, missing values, and invalid entries • Formatting normalization and systematic structured data processing • Improved accuracy using validation and cross-checking methods

2024

Education

Work History