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Sonali Badgujar

@Sonali

Business Analyst at Chinkral Products & Services

Pune, Maharashtra, India

Chinkral Products & ServicesSanghavi College of Engineering, Nashik

Sonali Badgujar is a Business Analyst with 2 years of experience in data analysis, reporting automation, and data annotation & validation. She is skilled in SQL, Excel, Python, and BI tools with strong expertise in data labeling, quality assurance, SOP-based verification, and business-rule-driven analytics to support accurate reporting and AI/ML use cases.

Experience

Business Analyst

Chinkral Products & Services

•Present•Pune

Performed data annotation and data labeling on operational and transactional datasets to improve reporting accuracy. Designed and optimized SQL ETL queries to extract, transform, and validate data from multiple business sources. Built automated Excel reports and Power BI dashboards for KPI tracking, reducing manual reporting effort by 40%. Conducted root cause analysis to identify data issues and process gaps. Collaborated with cross-functional teams to define business metrics, data rules, and reporting requirements. Ensured data quality, consistency, and SOP compliance across reporting datasets.

Data Science Consultant Intern

Rubixe

•Bengaluru

Supported data annotation, data preprocessing, and feature preparation for machine learning use cases. Used Python, Pandas, and Scikit-learn for data cleaning, transformation, and analysis. Analyzed large datasets to generate insights, contributing to a 10% improvement in marketing ROI. Developed Power BI dashboards and visual reports for stakeholder review and decision-making. Performed data validation and quality checks before model training and reporting.

Education

Sanghavi College of Engineering, Nashik

Bachelor of Engineering

Computer

Jan 2019 - Jan 2023•Grade: 8.49/10

Licenses & Certifications

Certified Data Scientist

NASSCOM

Data Science Foundation Certificate

IABAC

Skills

SQL
Python
Power BI
Tableau
Excel
Data Annotation
Data Labeling
Data Validation
Quality Assurance
Ground Truth Dataset Preparation
SOP-based Verification
Data Mining
Predictive Analytics
Data Cleaning
Statistical Modeling
Trend Identification
Data preprocessing
Feature Engineering
Cloud Pipelines (AWS/GCP)
Big Data ingestion
CI/CD Pipelines
Git/GitHub
Docker
Business Impact Analysis
Business Process Documentation
Report Generation