- Frenzied about Programming (Machine Learning), IT Automation, Research, Project, Products and Analytics.
- Currently, exploring Data Science & Machine Learning;
- Actvely involved in several ML research projects in Bioinformatics and Education domains.
- Also a tech-writer on Medium and Kaggle.
- Passionate to learn new things, share my knowledge, improve existing skills, experiment with acquired skills and challenge my capabilities.
- A student of Mechanical Engineering at RGUKT-Nuzvid.
- Programming: Python (Advanced), C (For Contests), R, SQL
- DS & ML Tools (Python) : NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, Keras, Tensorflow, Pycaret, PyTorch.
- Data Analysis: MS Excel, SAS, Tableau.
- IT Automation: Automation in MS Word, Powerpoint, Excel, Google Sheets, Adobe Photoshop, Illustrator, Photo Manipulations using Python at large scale.
- IT Skills: Software Troubleshooting, Advanced in IT and computer Skills.
- Product Development, Project Management, Business Development and Strategic Planning and Analysis.
- Statistics/Machine Learning:
- Statistical Modeling Algorithms – Simple Linear and multiple Linear Regression, Logistic Regression, shrinkage/regularization techniques like Ridge/LASSO/ELASTIC Net/PCA
- Machine Learning Algorithms (Ensembles) – Agglomeration, Clustering, Recommender Systems, KNN, K-Means, Decision Tree, Random Forest, SVM, Bagging, Boosting, Ada-Boosting, Gradient Boosting, XGB, Stacking etc.
- Neural Networks – Artificial Neural Networks, Deep Learning. Auto Encoders
- Optimization and Decision Analysis – Linear Programming Algorithm (LP), Non-Linear Programming (NLP) Algorithm, Genetic Algorithm, Goal Programming