Technical Skills

Python 90%
Numpy, Pandas, Scikit-learn 90%
Tensorflow, PyTorch, OpenCV 80%
Data Visualization (Excel, Power BI, Seaborn) 95%
Machine Learning 85%
Deep Learning 80%
Natural Language Processing (NLP) 50%

About Me

As a master’s student in Data Science, specializing in Machine Learning and AI, I am passionate about using data to drive innovation. My skills in data analysis, machine learning, deep learning, and NLP have been sharpened through impactful projects across various domains. These experiences have fueled my curiosity and commitment to exploring new frontiers in AI and data science, contributing to advancements in this dynamic field.

  • Profile: Data Science & Artificial Intelligence
  • Education: Master of Science: Data Science, AI & ML
  • Language: English(Fluent), German(A2), Kannada
  • Other Skills: Microsoft Office(Power point, Word), Streamlit, GenAI
  • Hobbies: Traveling, Photography, Badminton

0 +   Projects completed

LinkedIn

Education


2022-2025(expected)

Master of Science in Data Science

Friedrich -Alexander-Universität Erlangen-Nürnberg, Germany

Grade: 2.4

2018-2021

Bachelor of Computer Applications

Nagarjuna College of Management Studies, Bangalore, India

Grade: 1.6

Projects

Below are the sample projects on Power BI, Python, ML & DL.

Potato Leaf Disease Classification

The potato leaf disease classification project uses CNN, ResNet, and VGG models to accurately identify different leaf diseases, helping farmers detect issues early and improve crop management.

Heart Attack Risk Classification Project

This project applies machine learning to predict heart attack risk using models like K-Nearest Neighbors,Random Forest, SVM, and XGBoost. It provides a tool for early detection and preventive care.

Rice Image Classification Using CNN

This project implemented a CNN model to revolutionize rice variety classification, dramatically boosting accuracy and efficiency, and paving the way for smarter agricultural practices.


Health Insurance Charges Prediction Using Machine Learning

This project predicts health insurance costs using machine learning, featuring data cleaning, feature engineering, and model optimization to achieve accurate predictions.

GlobalBlaze: Analyzing Global Trends in Wildfire Burned Areas and Emissions (2002-2023)

GlobalBlaze showcases top technical skills with automated pipelines and advanced EDA, turning wildfire data into precise, actionable insights.

Super Store Sales Dashboard using PowerBI

Created Superstore Sales Dashboard in Power BI which visualizes monthly sales and profit trends, offering insights into revenue patterns and profitability, enabling data-driven strategies for enhancing business performance.

HR DataAnalytics Dashboard using PowerBI

Created HR Data Analytics Dashboard in Power BI which tracks attrition rates and active employees, helping organizations to monitor workforce trends, identify retention issues, and make data-driven HR decisions.

More projects on Github

Passionate about solving business challenges and uncovering insights using data science, machine learning, and NLP.


GitHub

Contact Me

Below are the details to reach out to me!

Address

Erlangen, Germany

Contact Number

+49 15228094810

Email Address

dspuneetha@gmail.com

Download Resume

resumelink