Inisha R

Data Analyst

2+ yrs exp 84 · Excellent

About

Data Analyst with 2 years of experience in data analysis, SQL, Python, data cleaning, exploratory data analysis, data validation, ETL, and reporting. Skilled in extracting, transforming, analyzing, and visualizing structured data to support business reporting and data-driven decision-making. Experienced in preparing analysis-ready datasets, identifying data quality issues, automating repetitive data tasks, and collaborating with cross-functional teams.

Skills & Expertise (28)

Python Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.5/10

Years Exp

SQL querying Intermediate

7.5/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

validation Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

ETL Intermediate

6.5/10

Years Exp

Data Pipelines Intermediate

6.5/10

Years Exp

Oracle Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

SQLite Intermediate

6.0/10

Years Exp

KPI Reporting Intermediate

6.0/10

Years Exp

Dashboard Development Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

MongoDb Intermediate

5.5/10

Years Exp

PySpark Intermediate

5.5/10

Years Exp

Airflow Intermediate

5.5/10

Years Exp

Snowflake Intermediate

5.5/10

Years Exp

AWS S3 Intermediate

5.5/10

Years Exp

AWS RDS Intermediate

5.5/10

Years Exp

Docker Intermediate

5.0/10

Years Exp

VS Code Intermediate

5.0/10

Years Exp

SQL

Work Experience

Delivery Data Analyst

Turing

Jun 2024 - Jun 2026

Analyzed structured datasets using SQL and Python to support reporting, data analysis, and downstream machine learning workflows. Performed data cleaning, preprocessing, validation, and exploratory data analysis (EDA) to identify inconsistencies and improve data quality. Wrote SQL queries using filtering, joins, aggregations, grouping, and transformations to extract and analyze data from multiple sources. Used Python, Pandas, and NumPy to clean, transform, validate, and analyze datasets and prepare analysis-ready data. Automated repetitive data preparation and validation tasks using Python, improving efficiency and reducing manual effort.