Nidhi Shekhar

Aspiring Data Analyst

Pune, Maharashtra 0+ yrs exp 80 · Excellent

About

Aspiring Data Analyst with hands-on internship experience collecting, cleaning and analysing structured and unstructured data to generate actionable business insights. Skilled in building ETL pipelines, developing Power BI dashboards and identifying trends and KPIs using Python, SQL, PySpark and Databricks. Strong analytical and problem-solving skills with attention to detail and a track record of translating data into clear, presentation-ready recommendations. Seeking entry-level opportunities in Data Analytics, Data Engineering, or SQL Development.

Skills & Expertise (24)

SQL Intermediate

7.5/10

0.25

Years Exp

Python Intermediate

7.5/10

0.25

Years Exp

Data Cleaning Intermediate

7.5/10

0.25

Years Exp

Power BI Intermediate

7.5/10

0.25

Years Exp

MySql Intermediate

7.5/10

0.25

Years Exp

Jupyter Notebook Intermediate

7.0/10

0.25

Years Exp

VS Code Intermediate

7.0/10

0.25

Years Exp

GitHub Intermediate

7.0/10

0.25

Years Exp

Git Intermediate

7.0/10

0.25

Years Exp

Azure Data Factory Intermediate

7.0/10

0.25

Years Exp

Excel Intermediate

7.0/10

0.25

Years Exp

Databricks Intermediate

7.0/10

0.25

Years Exp

PySpark Intermediate

7.0/10

0.25

Years Exp

Pandas Intermediate

7.0/10

0.25

Years Exp

Data Transformation Intermediate

7.0/10

0.25

Years Exp

ETL Intermediate

7.0/10

0.25

Years Exp

NumPy Intermediate

6.5/10

0.25

Years Exp

Data Pipelines Intermediate

6.5/10

0.25

Years Exp

Azure Blob Storage Intermediate

6.5/10

0.25

Years Exp

Trend & Pattern Identification Intermediate

6.5/10

0.25

Years Exp

Data Ingestion Intermediate

6.0/10

0.25

Years Exp

Data-Driven Recommendations Intermediate

6.0/10

0.25

Years Exp

Data Validation Intermediate

6.0/10

0.25

Years Exp

KPI Reporting Intermediate

6.0/10

0.25

Years Exp

Work Experience

Data Engineering Intern

Bizmetric

Jan 2026 - Mar 2026

Collected, cleaned, and transformed structured and unstructured business datasets using Python and SQL, ensuring accuracy and consistency for downstream analysis. Processed large datasets with PySpark and Databricks, applying validation checks to maintain data quality and reliability. Built and maintained Power BI dashboards that surfaced key trends and performance metrics, supporting business analytics and decision-making. Collaborated with the team to interpret business data and prepare presentation-ready reports and recommendations for stakeholders. Gained practical exposure to Azure Data Factory, Azure Blob Storage, and cloud-based ETL workflows.