Manohara V

Responsible for solving non-trivial, high-impact problems impacting consumer experience using machine/deep learning, data mining, statistical analysis, and related techniques. Showcase excellent problem-solving skills, and ability to deconstruct and formulate solutions from first-principles. Assist in collecting, cleaning, and preprocessing data for analysis and conduct exploratory data analysis to uncover insights and trends. Develop and deploy machine learning models on large-scale datasets. Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions. Stay updated on the latest trends and advancements in data science and machine learning techniques.

Conduct research to explore and develop innovative machine learning algorithms and models. Apply advanced data mining techniques to extract meaningful patterns and insights from large and complex datasets. Build predictive models to forecast future trends, behaviors, or outcomes based on historical data. Develop NLP models and algorithms to extract insights from unstructured text data. Design and implement recommender systems to provide personalized recommendations.

Worked on various projects like regression, classification, clustering, deep learning (LSTM, CNN & ANN) related projects by collecting data from various sources and performed feature engineering and feature transformation techniques to prepare data for ML and created ML and DL models for the same. While working on deep learning models applied the different transfer learning models and have good idea about state of art (SOTA) models. Created functional programs and class functions using (oops) for automating the ML and DL models. Applied different ensemble and optimization techniques for performance improvements while applying ML algorithms.