YAMINI GOPISETTI

Overall 12 years of experience with 2+ years as a Kore AI developer and 3+ years as a Data Scientist.

Kore AI Developer Experience

Experience with conversational flow, chatbot development, smart routing, omnichannel integration, and automated outbound calls using the Kore.ai platform. Hands on experience in the development, training and tuning of Natural Language Understanding (NLU) models. Successfully built customer friendly, conversational flows to guide customers to relevant answers and self-service options. Analyzed customer requirements and design CCaaS solutions that align with their business objectives, including call routing strategies, IVR workflows, and multichannel communications. Proficient in Kore.ai smart assist. Good understanding of natural language processing (NLP) concepts, including entity recognition, intent classification, and sentiment analysis. Knowledge of chatbot design principles and user experience (UX) best practices to create engaging and user-friendly conversational interfaces. Proficient in programming languages (e.g., JavaScript, Python) for customization and integration of the CCaaS platform.

Data Scientist Experience-

Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization. Have developed different Statistical Machine Learning, Data Mining solutions to various business problems and generating Data Visualizations using R, Python and Tableau. Experienced in working with complex applications such as R, SAS, Matlab and SPSS to develop neural network, cluster analysis. Proficient in Machine Learning techniques (Decision Trees, Linear, Logistics, Random Forest, SVM, Bayesian, XG Boost, K - Nearest Neighbors) and Statistical Modeling in Forecasting/ Predictive Analytics, Segmentation methodologies, Regression based models, Hypothesis testing, Factor analysis/ PCA, Ensembles. Experience in designing visualizations using Tableau software and Storyline on web and desktop platforms, publishing and presenting dashboards. Have used R-Shiny data visualization tools to analyze and obtain insights into large datasets, create visually powerful and actionable interactive reports and dashboards.

Worked with analysis tools of Python - (Pandas, Numpy, Matplotlib, Seaborn, Bokeh, Sci-kit, SciPy, NLTK, OpenCV, Natural Language Processing, Deep Learning, Keras, TensorFlow). Well experienced in Data Mining, Text Mining, Data Analysis, Data Migration, Data Cleansing, Transformation, Integration, Data Import, and Data Export.

Kore ai Experience OptimizationPlatform Developers Advanced Training.