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Akshith Mourya

@akshithmourya

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Detail-oriented data analyst skilled in SQL, Python, Excel, and Power BI.

India

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What I'm looking for

I seek a data-focused role where I can build dashboards and analytics, collaborate cross-functionally, apply ML fundamentals, and grow technical skills in a supportive, outcome-driven team.

I am a detail-oriented Computer Science graduate with hands-on experience cleaning and analyzing large datasets, building end-to-end dashboards, and delivering actionable insights using SQL, Python, Excel, and Power BI. During an AI Data Analyst internship, I preprocessed 50,000+ records, performed EDA, applied basic ML algorithms, and produced weekly insight reports that improved data consistency and model reliability.

I have delivered multiple domain-focused projects—sales performance dashboards, telco churn workbooks, SQL content analysis, and large-scale sports analytics—demonstrating strong data storytelling, advanced DAX, and Python pipeline skills. I learn quickly, adapt across technical roles, and aim to translate complex data into clear recommendations that drive business outcomes.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Rooman Technologies

Feb 2025 - May 2025 (3 months)

Performed data cleaning and preprocessing on 50,000+ records using SQL and Excel, conducted EDA and basic ML to support model workflows, and produced weekly dashboards and insight reports that improved data consistency and model reliability.

SQL Excel Python Power BI Data Cleaning Pandas Data Visualization

Education

Degrees, certifications, and relevant coursework

Madanapalle Institute of Technology & Science

Bachelor of Engineering, Computer Science

2021 - 2025

Grade: 8.03/10

Activities and societies: Coursework and projects in data analysis, Power BI dashboards, SQL analytics, Python data pipelines; internships and certifications in AI data quality and data visualization.

Bachelor of Engineering in Computer Science completed with a cumulative GPA of 8.03/10, covering software engineering, data analysis, and machine learning fundamentals.