Vasumathi Ramesh

Entry-level Data Analyst or Data Engineer

Chennai

Profile Score

About

Recent graduate seeking an entry-level Data Analyst or Data Engineer role. Strong foundation in SQL (joins, subqueries, CTEs, aggregations) and Python (Pandas, NumPy) for data cleaning, transformation, and validation of structured datasets. Hands-on exposure through academic projects and internship training in data analysis, ETL-style workflows, and dashboard creation using Power BI. Familiar with AWS services such as S3, EC2, and IAM, with introductory knowledge of machine learning concepts and Generative AI tools for SQL query generation and insight summarization. Possess strong analytical thinking, problem-solving, and communication skills.

Skills & Expertise (22)

SQL Intermediate

7.4/10

Years Exp

Python Intermediate

7.1/10

Years Exp

Data Cleaning Intermediate

6.9/10

Years Exp

Power BI Beginner

6.4/10

Years Exp

ETL Concepts Intermediate

6.0/10

Years Exp

AWS S3 Beginner

5.8/10

0.5

Years Exp

Jupyter Notebook MS Excel Prompt Engineering LLM Fundamentals GenAI Basics Snowflake-UI Sql-server Oracle CloudWatch AWS Lambda AWS Glue AWS EC2 Data Validation Data Transformation Descriptive Statistics Trend Analysis

Work Experience

Data Analyst Intern

Teachnook

Oct 2022 - Nov 2022

Created SQL queries using joins, CTEs, and aggregations to organize and prepare data for analysis. Used Python (Pandas, NumPy) to explore datasets and perform basic data analysis tasks. Supported the development of reports and interactive dashboards in Power BI to present findings clearly. Performed basic data checks and statistical analysis to understand trends and patterns. Built hands-on experience in data analysis, reporting, and analytical problem-solving.

Data Engineer Intern

Oneyes Infotech Solution

Aug 2023 - Feb 2024

Built and maintained structured datasets by cleaning, transforming, and validating raw data during internship projects. Wrote SQL queries using joins, CTEs, and aggregations to ingest and transform data into analysis-ready tables. Supported ETL-style workflows, including data ingestion, transformation, validation, and batch processing of structured datasets. Performed data quality checks to ensure data accuracy, completeness, and consistency. Assisted in preparing datasets for reports, dashboards, and downstream analytics. Collaborated with team members to understand data requirements and deliver reliable data outputs.