Manohara C V

I am an Associate Data Scientist with a strong foundation in data analysis, statistical modeling, and machine learning. I have a passion for teaching and mentoring, with a proven ability to simplify complex concepts and engage students in the learning process. I aim to leverage my professional experience and academic knowledge to provide high-quality tutoring in data science and related subjects.

having grip on:

Data Science Foundations:

Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)
Feature Engineering
Data Visualization (Tableau, Power BI, Matplotlib, Seaborn)
Statistics:

Descriptive Statistics
Inferential Statistics
Probability Theory
Hypothesis Testing
Regression Analysis
Machine Learning:

Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, SVM)
Unsupervised Learning (K-means Clustering, PCA)
Model Evaluation and Validation (Cross-Validation, Confusion Matrix, ROC-AUC)
Hyperparameter Tuning (Grid Search, Random Search)
Deep Learning:

Neural Networks (Feedforward, Convolutional, Recurrent)
Model Training and Optimization (Backpropagation, Gradient Descent)
Frameworks (TensorFlow, Keras, PyTorch)
Transfer Learning
Generative AI:

Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Text Generation (GPT, BERT)
Frameworks (Transformers, Hugging Face)