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Durga Prasad Pampana

@durgaprasadpampana

Data-focused intern skilled in Python, SQL, and advanced Excel dashboards to deliver actionable insights.

India
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What I'm looking for

I’m looking for an entry-level data role where I can use Python/SQL and advanced Excel/Power BI to analyze, clean, and visualize data, collaborate remotely, and deliver actionable insights for stakeholders.

I’m a Data Science student and data-focused intern who enjoys collecting, cleaning, and interpreting data to find trends and insights. I’m especially strong in Excel and SQL, and I like turning stakeholder questions into clear, trustworthy outputs.

In my Full Stack Development Intern role at SPYPRO Security Solutions Pvt. Ltd., I collected and cleaned application data using Python and SQL, and built real-time dashboards that reduced manual reporting effort by ~40%. I also maintained internal data pipeline systems, supporting ad-hoc data requests and cutting turnaround time from hours to minutes.

Earlier, as a Data Analysis Intern at APSSDC, I worked with 10,000+ customer review records using Pandas and SQL queries, reaching 98% data accuracy through quality checks. I analyzed sentiment trends and anomalies, presented stakeholder reports, and supported predictive modeling (Naive Bayes, Logistic Regression) with 85%+ accuracy—using visualizations to reduce time-to-insight by ~30%.

Experience

Work history, roles, and key accomplishments

SL

Full Stack Development Intern

SPYPRO Security Solutions Pvt. Ltd.

May 2025 - Jun 2026 (1 year 1 month)

Collected, cleaned, and interpreted application data using Python and SQL, building real-time dashboards that reduced manual reporting effort by ~40%. Maintained internal data pipeline systems, supported ad-hoc data requests, and collaborated remotely with cross-functional teams to translate requirements into deliverables.

AP

Data Analysis Intern

APSSDC

May 2024 - Jun 2024 (1 month)

Collected and cleaned 10,000+ customer review records using Pandas and SQL-based queries, achieving 98% data accuracy through quality checks. Analyzed sentiment trends and anomalies, built visualizations for stakeholders, and supported ad-hoc analysis and predictive modelling (Naive Bayes, Logistic Regression) with 85%+ accuracy.

Education

Degrees, certifications, and relevant coursework

Adikavi Nannaya University logoAU

Adikavi Nannaya University

Bachelor of Technology (B.Tech), Computer Science & Engineering (AI & ML)

2022 - 2026

Grade: GPA: 8.0/10.0

Pursuing a B.Tech in Computer Science & Engineering with an AI & ML specialization at Adikavi Nannaya University (2022–2026), maintaining a GPA of 8.0/10.0.

Tech stack

Software and tools used professionally

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