Built business solutions utilizing advanced machine learning methodologies, such as decision trees, neural networks, etc., for regression, classification, and clustering problems.Preprocessed structured and unstructured data, performed exploratory data analysis to uncover trends and patterns, and generated data visualizations for business teams.Handled machine learning life cycle tasks, including data research & and analysis, feature engineering, model training, and… Show more Built business solutions utilizing advanced machine learning methodologies, such as decision trees, neural networks, etc., for regression, classification, and clustering problems.Preprocessed structured and unstructured data, performed exploratory data analysis to uncover trends and patterns, and generated data visualizations for business teams.Handled machine learning life cycle tasks, including data research & and analysis, feature engineering, model training, and deployment.Collaborated with different functional teams for deploying ML models.Took sessions and mentored teammates on machine learning, deep learning, and data science methodologies.PROJECTS🔹Text-to-speech conversion for a VR applicationGenerate human-like speech VR avatars from text input.🔹Predicting BP from ECG dataThe objective of this project was to develop a machine-learning model capable of predicting blood pressure levels based on features extracted from electrocardiogram (ECG) signals. The aim was to explore the potential of non-invasive ECG monitoring as a means of predicting blood pressure without the need for traditional cuff-based measurements.🔹Chatbot for patient care using RasaBuilt a chatbot to assess the progress of patients after they leave the hospital.Technologies: Rasa Show less

🔹Solved real-world problems by building prototypes using ML, deep learning, NLP, computer vision, and other AI technologies.🔹Pre-processed structured and unstructured data and performed EDA to uncover trends and patterns.🔹Handled full machine learning life cycle, including research, design, data collection, feature engineering, model training, and deployment.🔹Conducted research and designed solutions leveraging AI and communicated the results.🔹Trained and… Show more 🔹Solved real-world problems by building prototypes using ML, deep learning, NLP, computer vision, and other AI technologies.🔹Pre-processed structured and unstructured data and performed EDA to uncover trends and patterns.🔹Handled full machine learning life cycle, including research, design, data collection, feature engineering, model training, and deployment.🔹Conducted research and designed solutions leveraging AI and communicated the results.🔹Trained and mentored interested employees on machine learning, deep learning, and AI technologies.PROJECTS🔹Paper recommendation system for employeesResearched various collaborative and content-based filtering methods and built a recommendation system that gives personalized paper recommendations for researchers of a global food corporation to reduce the time spent on manual search.🔹Text Analytics ResearchResearched and tested different approaches for summarization, coherence analysis, context analysis, POS tagging, and grammar checking, etc.🔹Automating manual testing using computer vision-based toolsBuilt a prototype to automate the report generation process of a global market research firm which was later scaled into a project.🔹Multilingual chatbot for a global pharmaceutical companyWorked on data cleaning and extracting relevant medical data using models like BioBERT.🔹Commonality extraction from social media user profilesExtracted common factors between users from social media profiles using various text similarity techniques.🔹Rapid CohortPlanned, researched, and conducted sessions on AI with the team. Mentored and evaluated many teams on their research and projects.🔹Text extraction from engineering drawingsExtracted relevant data from a diverse set of drawings using techniques like template matching and regular expressions.🔹Online sports assessment systemBuilt a system to take sports assessments at home using the browser using pose detection and object detection. Show less

🔹Created taxonomies from raw unstructured data using word embeddings and context-based clustering techniques, improving data organization and retrieval.🔹Implemented and evaluated multiple NLP solutions and selected the best-performing models, achieving significant performance improvements.🔹Documented and communicated research results, contributing to the team's knowledge base and facilitating further innovation.Techniques: Clustering, Text preprocessing… Show more 🔹Created taxonomies from raw unstructured data using word embeddings and context-based clustering techniques, improving data organization and retrieval.🔹Implemented and evaluated multiple NLP solutions and selected the best-performing models, achieving significant performance improvements.🔹Documented and communicated research results, contributing to the team's knowledge base and facilitating further innovation.Techniques: Clustering, Text preprocessing, VisualizationTechnologies: SQL, Python, GenSim, NLTK, SpaCy Show less