Hi 👋, I'm Sunny

Passionate about deciphering patterns from complex data sets, especially in the realms of Machine Learning and Deep Learning, I thrive on the thrill of uncovering insights that drive innovation and impact, propelling us towards a smarter, more interconnected future.

🔭 I’m currently working at Breath Of Health as Data Scientist. Working in projects dedicated to advancing early detection strategies for colorectal and breast cancer, as well as COVID-19 analysis, by leveraging high-dimentional FTIR data analysis and developing machine learning models. Employed professional tools such as PySpark, Databricks, and Power BI to streamline data processing, model development, and visualization, contributing to actionable insights that closely align with research objectives.
🌱 I’m currently learning advance Deep Learning techniques in Computer Vision and Natural Language Processing
💬 Ask me about Python , Pandas, NumPy , Matplotlib, Seaborn , Scikit-Learn, TensorFlow ,MySQL , Power BI , Tableau , Probability Mathematics , Inferential Statistical, Supervised and Unsupervised Machine Learning, Artificial Neural Networks, CNN, TensorFlow
📫 How to reach me [email protected]

Connect with me:

📄 Know about my experiences https://www.linkedin.com/in/sunny-panchal-3b902081/

Languages and Tools:

Sunny Panchal's Projects

analyzing-a-simple-a-b-test-with-a-t-test

I will include two ways of t tests that compare conversion rate and click through rate of two groups

businesscase_data_exploration-

Case Studies and Projects in Machine Learning/EDA/DL

data_structure_algorithms_

Intermediate Data Structures and Algorithms Pracatice

ibm_data_science

Notes of the IBM Data Science Course on Coursera

machine-learning-from-scratch

Implementation of popular ML algorithms from scratch

machine-learning-from-scratch-1

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.