About

Diven Kumar Sambhwani is a highly skilled Business Analyst at CloudKettle with a diverse background in data science and machine learning engineering. With more than 2 years of experience in research startups and customer analytics companies, Diven has become an expert in understanding business problems from an analytical and development mindset, and translating client needs into data requirements. Diven's educational background includes a Master's degree in Data Analytics and Information Technology from Saint Mary's University and an MSc.IT in Information Technology from Dhirubhai Ambani Institute of Information and Communication Technology. He also holds a Bachelor's degree in Computer Application from Ahmedabad University. Currently, Diven is working on two exciting projects. The first is a hybrid article Recommender System that utilizes deep learning, collaborative filtering, and NLP extensively. The second is a model to predict Asthma using an adaptive lasso and ordinary least square. Air quality, weather, Google trends, and Twitter data are used in the model and were extracted using REST APIs. Additionally, Diven implemented opinion mining on tweets to extract valuable information such as asthma prevalence, relative index, and sentiment score. Diven's technical skills include proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, statsmodels, NLTK, H20, PyCaret), R(Dplyr, DT, Ggplot2, plotly, Shiny, caret, RMarkdown, StringR), Recommender system (Surprise), Deep Learning (Keras, Fast.ai, Tensorflow), SQL, and Tableau. His tech stack also includes Deep Learning, Research Scientist, SQL, Keras, AI, NLP, Scikit, Python, Data Scientist, Tensorflow, and Pandas. Prior to his current role at CloudKettle, Diven worked as a Contributing Writer at Analytics Vidhya and as a Contributor at Towards Data Science. With 4.44 years of relevant experience, Diven is a valuable asset to any team looking for a skilled and experienced Business Analyst.