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Naga Bhanu Prakash Konduru

Data Science Intern • Vijayawada, Andhra Pradesh, India • k*****************@gmail.com • +91*******574 • drivetube.ai/•••••

Professional Summary

Data Science Intern with 0 years of experience seeking to apply Python, SQL, and machine learning fundamentals to entry-level data science projects. Comfortable with EDA, data preprocessing, model prototyping, and visualizing insights to support data-driven decisions.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Scikit-learn
Databases: SQL
Cloud and DevOps: Oracle Cloud Infrastructure
Data and Analytics: Power BI,Exploratory Data Analysis,Data Visualization,Data Preprocessing,Excel
Tools and Methodologies: Jupyter Notebook,VS Code,Arduino IDE
IoT and Embedded: IoT,ESP8266,Soil Moisture Sensors

Work Experience

Datavalley
Vijayawada, Andhra Pradesh, India
Data Science Intern
May 2026 – Jul 2026
Data science internship focused on real-time datasets, exploratory analysis, visualization, and prototype machine learning models for analytics projects.
Tech Stack: Python, Pandas, NumPy, Scikit-learn, SQL, Jupyter Notebook, Power BI
  • Built end-to-end exploratory data analysis pipelines using Python, Pandas, and NumPy to clean, transform, and summarize real-time datasets for downstream analysis.
  • Extracted and aggregated data with SQL queries to create analysis-ready tables used for visualization and model training.
  • Implemented feature engineering and data preprocessing routines in Pandas to prepare datasets for machine learning prototyping and reduce manual prep time.
  • Developed and evaluated prototype models using Scikit-learn, applying Linear Regression and Decision Tree algorithms and validating performance with cross-validation and standard metrics.
  • Created interactive dashboards and visual reports in Power BI and Jupyter Notebook to communicate insights, trends, and model findings to mentors and stakeholders.
  • Documented analyses and code in Jupyter Notebooks, presented project demonstrations, and incorporated feedback to iterate on model design and reporting.

Projects

IoT Enabled Smart Plant Monitoring System | February 2026 – March 2026
Tools Used: Arduino IDE, ESP8266, IoT, Soil Moisture Sensors
  • Designed and developed an IoT-based plant monitoring system using ESP8266 and soil moisture sensors to capture environmental data in real time.
  • Implemented data collection and transmission routines in Arduino IDE to monitor soil moisture and temperature, enabling continuous observation of plant conditions.
  • Improved plant monitoring efficiency by approximately 60% through automated real-time sensor tracking and alerting capabilities.
Student Performance Prediction using Machine Learning | December 2025 – December 2025
Tools Used: Python, Pandas, Scikit-learn
  • Developed a machine learning pipeline to predict student academic performance using Python and Scikit-learn, including data cleaning and feature selection.
  • Performed exploratory data analysis to identify patterns and correlations, and engineered features to improve model input quality.
  • Trained and evaluated models including Linear Regression and Decision Trees, and compared performance using appropriate evaluation metrics.

Education

SRK Institute of Technology, AP
B.Tech in Computer Science and Engineering (Data Science) • Andhra Pradesh, India • 2024 – 2028

Certifications

HackerRank SQL (Basic) Certification — HackerRank • March 2026
Certified AI Foundations Associate — Oracle Cloud Infrastructure • December 2025
Young Innovator Internship Challenge - Certificate — Scaler School of Technology • October 2024

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