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@@ -28,36 +28,80 @@ <h1>Kiran B</h1> | |
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<section id="about-me"> | ||
<h2>About Me</h2> | ||
<p>I am a passionate Data Scientist with a strong background in Biotechnology...</p> | ||
<p>I am a passionate Data Scientist with a strong background in Biotechnology. I thrive on solving complex problems using data-driven approaches. My expertise lies in data analysis, machine learning, and predictive modeling. I have a proven track record of delivering insights and solutions that drive business growth and innovation.</p> | ||
</section> | ||
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<section id="education"> | ||
<h2>Education</h2> | ||
<p>Bachelor of Engineering, Biotechnology...</p> | ||
<ul> | ||
<li> | ||
<strong>Bachelor of Engineering, Biotechnology</strong><br> | ||
Institute of Technology – Davangere, Karnataka<br> | ||
CGPA: 3.8/4.0<br> | ||
Dec 2020 – May 2024 | ||
</li> | ||
<li> | ||
<strong>12th (PUC) in Physics, Chemistry & Mathematics</strong><br> | ||
Smt Pushpa Shamnur Mahalingappa PU Science College – Davangere, Karnataka<br> | ||
Percentage: 45.66%<br> | ||
Mar 2019 – Sep 2020 | ||
</li> | ||
<li> | ||
<strong>10th (SSLC)</strong><br> | ||
Sri Siddaganga Composite High School – Davangere, Karnataka<br> | ||
Percentage: 68.80%<br> | ||
Apr 2017 – May 2018 | ||
</li> | ||
</ul> | ||
</section> | ||
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<section id="skills"> | ||
<h2>Technical Skills</h2> | ||
<ul> | ||
<li>Python</li> | ||
<li>Data Analysis, EDA, Machine Learning Algorithms, Data Visualization</li> | ||
<li>Streamlit, Kaggle</li> | ||
<li>Programming Languages: Python</li> | ||
<li>Data Science & Analysis: Data Analysis, EDA, Machine Learning Algorithms, Data Visualization</li> | ||
<li>Tools: Streamlit, Kaggle</li> | ||
</ul> | ||
</section> | ||
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<section id="experience"> | ||
<h2>Experience</h2> | ||
<p>Kaggle Online Competitions...</p> | ||
<ul> | ||
<li> | ||
<strong>Kaggle Online Competitions</strong><br> | ||
Summer Internship in Data Science<br> | ||
Certification No: CPBLIP24030 | ||
</li> | ||
<li> | ||
<strong>Weather Dashboard</strong>: Completed a specialized data science internship focused on building a weather dashboard. Developed a comprehensive understanding of data manipulation, visualization, and model deployment. | ||
</li> | ||
<li> | ||
<strong>Spaceship Titanic Competition</strong>: Participated in a Kaggle competition aimed at predicting passenger outcomes in a hypothetical scenario. Developed a classification model with a focus on improving prediction accuracy. | ||
</li> | ||
</ul> | ||
</section> | ||
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<section id="projects"> | ||
<h2>Projects</h2> | ||
<p>IPL Dataset Analysis...</p> | ||
<ul> | ||
<li> | ||
<strong>IPL Dataset Analysis | Python | EDA, Query, and Visualization</strong><br> | ||
Conducted an extensive analysis of an IPL cricket dataset, revealing insights into player performance, match statistics, and team strategies. Presented findings through detailed visualizations to communicate data-driven insights effectively. | ||
</li> | ||
<li> | ||
<strong>Students Adaptability Level in Online Education | Python | EDA and ML Algorithms</strong><br> | ||
Performed exploratory data analysis and a comparative study of KNN, logistic regression, and SVM algorithms to predict adaptability in online education. Developed a highly accurate SVM model to understand student adaptability in virtual learning environments. | ||
</li> | ||
<li> | ||
<strong>House Price Prediction | Python | Streamlit</strong><br> | ||
Developed a predictive model for house prices in India, incorporating features such as location, size, and amenities. The project includes a live demo deployed on Streamlit, accessible <a href="https://house-price-prediction-india.streamlit.app/" target="_blank">here</a>. | ||
</li> | ||
</ul> | ||
</section> | ||
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<section id="contact"> | ||
<h2>Contact Me</h2> | ||
<p>I am always open to new opportunities and collaborations. Feel free to reach out...</p> | ||
<p>I am always open to new opportunities and collaborations. Feel free to reach out to me through my contact information above, or connect with me on <a href="mailto:[email protected]">Email</a>.</p> | ||
</section> | ||
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<footer> | ||
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