Subashitha Ganugapati

• Recent Master of Science graduate in Computer Science with a strong academic foundation in Software Development, Artificial Intelligence, Machine Learning, Data Science, and Database Management.

• Possess strong knowledge of software development principles, object-oriented programming, algorithms, and data structures gained through graduate-level coursework and practical academic projects.

• Hands-on experience developing machine learning models using Python, Scikit-learn, TensorFlow, and PyTorch for solving predictive analytics problems.

• Strong understanding of data preprocessing, feature engineering, exploratory data analysis (EDA), model training, validation, hyperparameter tuning, and performance optimization.

• Knowledge of Deep Learning architectures including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) for solving real-world data problems.

• Familiar with Natural Language Processing (NLP) techniques including text preprocessing, tokenization, stemming, lemmatization, TF-IDF, text classification, and information extraction.

• Understanding of Reinforcement Learning concepts including Markov Decision Processes (MDP), Q-Learning, Policy Iteration, Value Iteration, and Deep Q Networks through graduate coursework.

• Experience working with Python libraries including Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, and Scikit-learn for data analysis and machine learning model development.

• Knowledge of SQL and relational database concepts for querying, manipulating, and managing structured datasets.

• Familiar with software development methodologies including SDLC, Agile concepts, software testing principles, debugging, and version control fundamentals.

• Strong analytical and problem-solving abilities with the capability to analyze complex datasets and develop efficient software solutions.

• Knowledge of cloud computing fundamentals and Microsoft Azure concepts including cloud services, deployment models, and virtualization.

• Excellent communication, teamwork, and organizational skills developed through academic collaborations and technical project work.

• Highly motivated, quick learner with the ability to adapt to new technologies and continuously improve technical knowledge.

• Passionate about developing innovative software solutions while contributing effectively in collaborative team environments.

• 04/2020, Certified by Coursera, Electrical Power Systems
• 05/2020, Certified by Coursera, DeepLearning.AI