Murali Mandayam
Principal Engineer, Applications @Kaiser Permanente
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WORK HISTORY
Principal Engineer, Applications @Kaiser Permanente
Berkeley, CA, US
Principal Engineer in the Analytics & Reporting team at the Northern California Regional Labs, enabling them to move away from spreadsheet-based analytics to a more scalable and sustainable web-based application using.NET, MS-SQL, AI/ML models, and Tableau-based dashboards for executives.I work with a team of Tableau, MS-SQL, Oracle, and.NET developers in designing, architecting, and developing AI/ML solutions; and also managing a team of 8 people who develop analytical dashboards with a.NET web front-end, Tableau-based drill-down reports, with data extracted and engineered from various lab applications that are in MS-SQL, Oracle, a Hadoop cluster,s Flat files, and other data sources.I create visual and written specifications by analyzing various sources of data and spot trends among the data creating a descriptive and diagnostic narrative for executives.I also develop Python-based AI/ML models using Prophet, ARIMA/SARIMAX, Linear Regression, and other CNN and RNN-based algorithms.Interact with executives by consulting with them to collect requirements, take post-delivery feedback, and improvise dashboard development.
EDUCATION
Thinkful
Data Scientist
Birla Institute of Technology and Science, Pilani
Masters, Computer Science
ABOUT MURALI MANDAYAM
I am a Machine learning (ML), Artificial intelligence (AI) professional with Management experience leading a cross-functional Professional Services team. Experience in Deep Learning, Data Science, Business Analytics, Program Management, and Software Development. Currently developing an ML forecasting and prediction model for a healthcare problem. Back in my Computer Science grad school, I studied a textbook titled “Algorithms + Data Structure = Programs”. The title was intriguing, but it is very true and relevant in my job even today. A similar phrase that is relevant today is “Data + Insights = Decisions”. When one is focused on delivering, they overlook the value they create. My journey with data was exactly that. I was swimming in data all along and helping senior management make decisions. But did not realize the power of the data. After 15+ years in setting up offshore development centers, leading development, professional services, and customer success teams, an unforeseen change in corporate strategy relocated my job from Silicon Valley to Boston. This made me take a step back and gave me time to pause and rethink my own career path and reshape it with – what else- a focus on algorithms + data. I spent the next 8 months with Thinkful mastering my Python, and brushing up on SQL, data science and data engineering skills. The course helped me land a job in a major healthcare company that has several years’ worth of valuable data. Much as I was unhappy about the relocation of my job, it turned out to be truly a blessing in disguise!I can take a business problem, analyze the available data, engineer the data, transform it, feed it to a machine learning model and, predict outcomes based on the trained models. Using Python, I have done exploratory data analysis, imputed missing data, built regression and classification models, and models based on neural network such as BiLSTM, GRU, and others using libraries such as Pytorch, Tensorflow, Keras, and scikit.I can help you make sense of the data you have that can help you to make better business decisions!https://github.com/mu-mandayam/DataScience/tree/master/Stock_Price_Forecast https://github.com/mu-mandayam/DataScience/tree/master/S••••••••@gmail.com 40••••••13
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