Thadikamala Shyla Kumar
at McCombs School of Business
Schools
- McCombs School of Business
Links
Biography
McCombs School of Business
Senior IT professional with 18+ years of domestic and international experience, in handling large IT Transformation programs / projects / people primarily in the Banking and IT Service industry space.
- Senior executive responsible for driving strategic initiatives, managing multi-million dollar budgets and directing staff globally in multiple countries
- Strong Leader with in-depth experience with People / Product / Program / Project / Vendor Management
Core Competencies
- Innovation, IT Strategy, P&L, Operational Efficiency, Business Transformation, Delivery Management, Product Strategy, Pre-Sales & Proposals, Business Solutions
Data Science:
- Functional Areas: Risk , Finance, Marketing, Web, Supply Chain, Pricing
- Statistics: Probabilities, Distributions, Hypothesis Regression (Linear, Logistic), Diagnostics.
- Text Analytics: Data Collection, Web Mining (rvest, XML, SelectorGadget, Selenium, APIs Spatial -Analysis, PDF, OCR), Data Imputation, R-Shiny Apps, Tokenization, TDM, vector-space modeling, NLP, Text Clustering, Sentiment Analysis, PCA, Topic Model simulation, Language Translation, Text Classification
- Optimization / Operational Research: Linear and Integer Programming with GAMS
- Simulation: Simulate simple to complex applications (inputs, outputs, Internal process) with various distributions (Normal, Binomial, Exponential, uniform, Bernoulli etc.,)
- Un-Supervised Leaning: Clustering (Hierarchical, Kmeans ), Association (Apriori), Neural Networks, PCA, SVD
- Supervised Learning: Linear & Logistic Regression, Classification, SVM, KNN, Deep Learning, Decision Trees Naïve Bayes
- Forecast Analysis: Time Series (ARIMA, Lag Analysis, Smoothing), Prediction Models (Regression, KNN, Regression Tree, Neural Nets, Ensemble), Classification Models (Logistic, KNN, Naïve Bayer, Neural Nets)
- Technology Platform / Tools: Python, R, XLMiner, GAMS, Hadoop, HDFS, Map Reduce, Pig, Hive, MongoDB, Excel, Spark (SQL, Graph, Streaming, MLlib), Tableau
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