Inchara P L

Entry-level Data Analyst

Bangalore, India 0+ yrs exp 86 · Excellent

About

Entry-level Data Analyst with hands-on experience in SQL, Excel, Python, and Power BI through data analysis internships and academic projects. Skilled in data cleaning, exploratory data analysis, dashboard development, trend analysis, and translating raw datasets into actionable insights.

Skills & Expertise (22)

SQL Intermediate

5.5/10

0.5

Years Exp

Dashboard Development Intermediate

5.5/10

0.5

Years Exp

Excel Intermediate

5.5/10

0.5

Years Exp

Power BI Intermediate

5.5/10

0.5

Years Exp

Data Cleaning Intermediate

5.5/10

0.5

Years Exp

NumPy Intermediate

5.5/10

0.5

Years Exp

Pandas Intermediate

5.5/10

0.5

Years Exp

Python Intermediate

5.5/10

0.5

Years Exp

Matplotlib Intermediate

5.5/10

0.5

Years Exp

Power Query Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

VS Code Intermediate

5.0/10

0.5

Years Exp

Jupyter Notebook Intermediate

5.0/10

0.5

Years Exp

Trend Analysis Intermediate

5.0/10

0.5

Years Exp

Statistical Analysis Intermediate

5.0/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

scikit-learn Beginner

4.5/10

0.5

Years Exp

Classification Beginner

4.5/10

0.5

Years Exp

Regression Beginner

4.5/10

0.5

Years Exp

C++ Beginner

3.0/10

0.5

Years Exp

EDA

Work Experience

Trainee Data Analyst

Inventeron Technologies and Business Solutions LLP

Feb 2026 - May 2026

Analyzed structured datasets using SQL and Excel, applying filtering, aggregation, joins, and data-cleaning techniques to identify trends and patterns. Developed interactive Power BI dashboards and Excel reports to track key metrics, visualize trends, and communicate findings to stakeholders. Prepared and validated datasets before analysis, resolving missing values, duplicates, and inconsistencies to improve reporting quality.

Data Science & Data Analysis Intern

Smart Learn edTECH

Jun 2024 - Sep 2024

Performed data cleaning, pre-processing, and exploratory data analysis (EDA) on raw datasets. Built baseline machine learning models to generate actionable insights. Created Power BI dashboards to visualize trends and support decision-making.