I am a passionate Data Science student exploring the vast world of Machine Learning, Deep Learning, and AI. My journey began with a background in Finance & Accounting, and now I am transitioning into the exciting field of Data Science while also building my technical skills in Python, Machine Learning, and Data Analysis.
- Machine Learning: Linear Regression, Polynomial Regression, Logistic Regression, Decision Trees, Random Forest, Ensemble Techniques (Bagging & Boosting), ARIMA (Time Series Analysis)
- Data Processing: Handling Missing Values (KNN Imputation), Feature Engineering, PCA, GMM.
- Programming: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
- Web Development: Streamlit (Built a Used Car Resale Value Predictor)
- Statistics & Math: Regression Metrics (R², Adjusted R², VIF), Basics of Derivatives & Exponents, Covariance
- Other Interests: NLP, Computer Vision, and Audio/Visual Data Processing (Upcoming Learning Goals)
- 🔗 Used Car Resale Value Prediction (Streamlit Web App using Machine Learning)*
- 🌍 Clustering Countries Project (Applied clustering techniques to group countries based on socio-economic indicators)*
- More projects coming soon!
- Finance & Accounting: Nearly 3 years in Cash Application (HP) & 6 years in Product Compliance (Amazon)
- Data Science Aspirant: Seeking roles in Data Science, Data Analysis, and Machine Learning while building my GitHub portfolio
- Music Producer: Creating background scores for drama, cinema and songs using Logic Pro
- LinkedIn: https://www.linkedin.com/in/shrinivasa-ph-bb96a31b5/
- GitHub: https://github.com/ShrinivasaPH
- Kaggle: https://www.kaggle.com/shrinivasaph
I love diving deep into philosophy, existentialism, and the meaning of life, while also balancing my interests in music production and technology!
Currently exploring the intersection of Data Science, Music, and Philosophy! 🎶📊💭