Srinithi S

Business Intelligence Analyst

Namakkal, Tamil Nadu, India 75 · Very Good

About

Enthusiastic and detail-oriented Business Intelligence Analyst fresher with a strong foundation in SQL, Power BI, Excel, and Python. Experienced in transforming raw data into meaningful insights through interactive dashboards, data visualization, and reporting. Skilled in data cleaning, data modeling, DAX, and business analysis with hands-on experience from academic projects and internships. Passionate about supporting data-driven decision-making and continuously learning new BI technologies.

Skills & Expertise (24)

Pandas Intermediate

6.0/10

0.5

Years Exp

NumPy Intermediate

6.0/10

0.5

Years Exp

Microsoft Excel Intermediate

6.0/10

0.5

Years Exp

Python Intermediate

6.0/10

0.5

Years Exp

Data Analysis Intermediate

6.0/10

0.5

Years Exp

Data Visualization Intermediate

6.0/10

0.5

Years Exp

Communication Skills Intermediate

6.0/10

0.5

Years Exp

Team Collaboration Intermediate

6.0/10

0.5

Years Exp

Data Cleaning & Validation Intermediate

6.0/10

0.5

Years Exp

Microsoft Power BI Intermediate

5.5/10

0.5

Years Exp

Dashboard Development Intermediate

5.5/10

0.5

Years Exp

SQL Intermediate

5.5/10

0.5

Years Exp

Business Intelligence Intermediate

5.5/10

0.5

Years Exp

DAX Intermediate

5.0/10

0.5

Years Exp

ETL Basics Intermediate

5.0/10

0.5

Years Exp

Power Query Intermediate

5.0/10

0.5

Years Exp

KPI Reporting Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Data Modeling Intermediate

5.0/10

0.5

Years Exp

Java Beginner

4.0/10

0.5

Years Exp

Machine Learning Algorithms Beginner

4.0/10

0.5

Years Exp

Stt Beginner

3.0/10

0.5

Years Exp

TTS Beginner

3.0/10

0.5

Years Exp

Work Experience

Intern

ABE Group of Company

Jan 2023 - Jan 2023

Performed data preprocessing, cleaning, and exploratory data analysis (EDA) on real-world datasets to prepare them for reporting and analysis. Applied statistical methods and Python (NumPy, Pandas) to identify trends, patterns, and anomalies within datasets. Built and evaluated baseline analytical models to validate data-driven hypotheses and support business questions. Created visualizations and summary reports to communicate findings clearly to stakeholders, using appropriate evaluation metrics.