DURGA PRASAD
Dakshina Kannada, Karnataka — +91 7349606529
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About Me
A passionate Data Science student with a strong foundation in Python, SQL, and machine learning. I seek to apply analytical and technical skills in a Data Science internship. Experienced in building end-to-end ML pipelines, interactive dashboards, and deriving actionable insights from complex datasets. My goal is to leverage data to solve real-world problems and drive innovation.
Education
1
CMR University
B.Tech in Computer Science and Data Science Engineering
Bangalore, Karnataka
CGPA: 8.65/10 (2023 – Present)
2
Excel Pre-University College
PUC, Science (PCMC)
Mangalore, Karnataka
Karnataka State Board — 89.5% (2023)
3
Vani English Medium School
SSLC(Xth)
Mangalore, Karnataka
Karnataka State Board — 90.24% (2021)
Technical Skills
Programming Languages
Python, SQL, R, Scala
Libraries & Frameworks
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Streamlit
Data Analysis & Visualization
Power BI, Tableau, Microsoft Excel
Databases
MySQL, PostgreSQL
Machine Learning
Regression, Classification, EDA, Feature Engineering, Model Evaluation
Tools & Platforms
Git, Jupyter Notebook, IBM Watson Studio, Streamlit Cloud
Virtual Work Experience
PwC Switzerland Power BI Job Simulation
September 2024
Strengthened Power BI skills to create data visualizations for business decision-making. Demonstrated expertise in data visualization through dashboards conveying KPIs. Leveraged analytical problem-solving to examine HR data, focusing on gender-related KPIs and identifying root causes for gender balance issues.
Virtual Work Experience
Deloitte Australia Data Analytics Job Simulation
January 2026
Completed job simulation involving data analysis and forensic technology applications. Created interactive data dashboard using Tableau to visualize business metrics and trends. Used Excel to classify data, perform analysis, and draw actionable business conclusions.
Projects: Machine Learning
Credit Card Fraud Detection
Built a binary classification model to detect fraudulent transactions. Performed data preprocessing, handled class imbalance, and feature scaling. Trained and evaluated models using Scikit-learn, comparing performance with precision, recall, F1-score, and ROC-AUC.
Sales Prediction Using Python
Developed regression models to forecast future sales based on historical advertising and sales data. Performed EDA, data cleaning, and visualization. Evaluated model performance using R² and error metrics to select the optimal model.
Titanic Survival Prediction
Built a machine learning model to predict passenger survival using demographic and ticket features. Conducted data preprocessing, feature engineering, and missing value treatment. Trained classification models and validated results using accuracy and confusion matrix.
Bangalore House Price Prediction
Performed EDA, data cleaning, and feature engineering on housing data. Trained a regression ML model to predict prices. Deployed an interactive Streamlit web application.
Projects: Data Analysis & Deployment
Sales Insights Data Analysis
Analyzed sales data using SQL to extract trends and KPIs. Built interactive dashboards in Power BI. Cleaned and transformed datasets for improved data quality.
Pizza Sales SQL Analysis
Executed end-to-end SQL queries to analyze orders, revenue, and customer behavior. Implemented advanced SQL concepts for data aggregation and trend analysis.
Ferns and Petals Sales Analysis
Performed sales performance analysis using advanced Excel functions. Created charts and dashboards to highlight revenue trends and KPIs using pivot tables.
Certifications: Data Science Foundations
1
What is Data Science?
IBM/Coursera (Sep 2025)
2
Getting Started with Data
IBM (Oct 2025)
3
Data Fundamentals
IBM (Oct 2025)
4
Data Science Foundations — Level 1
IBM (Oct 2025)
5
Data Science Methodologies
IBM (Oct 2025)
6
Data Science Tools
IBM (Oct 2025)
7
Data Science Foundations — Level 2 (V2)
IBM (Oct 2025)
Certifications: Advanced Skills
1
Python for Data Science
Udemy (Sep 2025)
2
Data Analyst Bootcamp
AlexTheAnalyst (Aug 2025)
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