Thadikamala Shyla Kumar

About Thadikamala Shyla Kumar

Senior IT professional with 20+ years of domestic and international experience, in handling large IT Transformation programs / projects / people primarily in the Banking, Smart cities, Critical Infra, industrial sectors- 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 ManagementCore Competencies- Artificial Intelligence, Machine Learning, Operational Research, Cloud, Data Engineering- Predictive, Prescriptive Analytics, Statistical Modelling, Unsupervised, Supervised Learning, Deep Learning, TEXT, Video / Image / GIS Analytics-Innovation, Industry 4.0, Digital Transformations, 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

Experience

1. Head - Data Engineering, Analytics & Genai

   Cyient

   Nov 2021 — Present · Hyderabad, IN

   Large Language Models (Cloud / On-prem) for variety of industrial use cases like technical publications, guided diagnostics, Training etc- Building Data / Analytics platform(s) on AWS & Azure- Servicing various industries - Aerospace, Medical Devices, Mining, Telecom, Utilities, Factories - Solving client problems with AI / ML / Statistical techniques- Solve problems in the areas of Video / Images / Text / Data analytics

Education

• GITAM Deemed University

  Doctor of Philosophy - PhD, Artificial Intelligence

  2021 — 2026

• University of Madras

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

• Symbiosis Institute of Management Studies

  Master of Business Administration - MBA, Finance, General

  2006 — 2008

• Indian School of Business

  Business Analytics, Analytics / Data Science

Skills

• Credit Risk
• End-to-End Wholesale Risk Management
• Business Analysis
• Global Delivery
• Strategy
• Product Management
• Sdlc
• Solution Architecture
• People-Oriented
• Program Management
• Integration
• Data Science
• Agile Methodologies
• Management
• Software Project Management
• Itil
• Vendor Management
• Pmp
• Machine Learning
• Analytics
• Team Management
• Software Development Life Cycle (Sdlc)
• Project Management
• Statistics
• IT Strategy
• Requirements Gathering
• Sql
• Requirements Analysis
• As400 System