Saikiran Bandaru

Data Analyst

0+ yrs exp 81 · Excellent

About

Computer Science graduate with strong hands-on skills in SQL, Python, Excel, and Power BI, focused on data cleaning, exploratory data analysis, and statistical evaluation of trends. Experienced in a real-world data analyst internship, building dashboards, testing hypotheses on real-world datasets, and translating findings into clear, actionable business recommendations. Seeking a Data Analyst role to apply strong analytical thinking and cross-functional collaboration skills.

Skills & Expertise (28)

Microsoft Excel Intermediate

7.0/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Pandas Intermediate

6.5/10

0.5

Years Exp

Python Intermediate

6.5/10

0.5

Years Exp

Pivot Tables Intermediate

6.0/10

0.5

Years Exp

Exploratory data analysis Intermediate

5.5/10

0.5

Years Exp

NumPy Intermediate

5.5/10

0.5

Years Exp

Jupyter Notebook Intermediate

5.5/10

0.5

Years Exp

VLOOKUP Intermediate

5.5/10

0.5

Years Exp

Dashboard Development Intermediate

5.0/10

0.5

Years Exp

Power BI Intermediate

5.0/10

0.5

Years Exp

Tableau Intermediate

5.0/10

0.5

Years Exp

Ml basics Beginner

4.5/10

0.5

Years Exp

BigQuery Beginner

4.5/10

0.5

Years Exp

Snowflake Beginner

4.5/10

0.5

Years Exp

Redshift Beginner

4.5/10

0.5

Years Exp

Amplitude Beginner

4.0/10

0.5

Years Exp

Mixpanel Beginner

4.0/10

0.5

Years Exp

XLOOKUP PowerPoint Git correlation analysis Statistical Comparison Probability A/B testing Hypothesis Testing Business Reporting Java

Work Experience

Data Analyst Intern

Gradespot IT Solutions

Dec 2025 - May 2026

Cleaned and prepared large customer datasets from multiple internal sources using Python (Pandas) and SQL, writing reusable scripts to speed up the data preparation process. Worked with cross-functional teams to turn open-ended business questions into clean, analysis-ready datasets and reports, while keeping data quality and accuracy a priority throughout. Automated repetitive parts of the data cleaning process, cutting down manual work and giving the team more time to focus on actual analysis.