Kunal Ubhare

Aspiring Data Analyst

Mumbai, Maharashtra 0+ yrs exp 86 · Excellent

About

Aspiring Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI, supported by an R&D internship analyzing real-world industrial equipment data. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, and statistical analysis, driving business intelligence reporting and data-driven decision-making.

Skills & Expertise (23)

Python Intermediate

7.6/10

Years Exp

SQL Intermediate

7.4/10

Years Exp

MySql Intermediate

7.4/10

Years Exp

Advanced Excel Intermediate

7.2/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Pandas Intermediate

6.8/10

Years Exp

Reporting Intermediate

6.8/10

Years Exp

Jupyter Notebook Intermediate

6.4/10

Years Exp

Data Transformation Intermediate

6.4/10

Years Exp

Dashboard Development Intermediate

6.4/10

Years Exp

Power BI Intermediate

6.2/10

Years Exp

Statistical Analysis Intermediate

6.0/10

Years Exp

Business Intelligence Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Tableau Intermediate

5.8/10

Years Exp

KPI Analysis Intermediate

5.8/10

Years Exp

Seaborn Intermediate

5.8/10

Years Exp

Oracle SQL Developer Intermediate

5.6/10

Years Exp

Git Intermediate

5.6/10

Years Exp

GitHub Intermediate

5.6/10

Years Exp

PyCharm Intermediate

5.6/10

Years Exp

SQLite Intermediate

5.4/10

Years Exp

EDA

Work Experience

R&D Intern

Ambetronics Engineers Pvt. Ltd.

Mar 2025 - Sep 2025

Enabled faster, more reliable R&D testing across 7+ industrial equipment types (SIS, SIG, WGD, ERS-485) by collecting, cleaning, and structuring large-scale operational datasets for analysis. Reduced testing cycle time by 20–30% by conducting trend analysis and root-cause investigation across multiple product configurations using SQL and Excel, pinpointing optimal performance settings. Strengthened data integrity across all testing phases by designing and enforcing structured data validation checks, reducing errors in engineering inputs and downstream decisions. Accelerated cross-functional decision-making by translating test outcomes into clear Excel-based reports and technical documentation, driving actionable product improvement recommendations.