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IdentitySix Sigma Certified Professional with nearly 25 years of techno-managerial experience in leadership, analytics, evidence-based decision making, quality and programme management techniques, mentoring, training and team building in learning organisations in dynamic business environment of software and IT enabled industry
Effectively provided consultancy to internal & external clients on Lean, Six Sigma, Agile, CMMI, ISO, SAS70 process improvement models in the domain Security, testing, global technology infrastructure services, project management across Domain Experience of mentoring & guiding 150+Projects, 20+ programmes across business domains & technologies
Made presentations on various topics such as expert system, artificial intelligence, machine translation, and computational linguistics, statistical tools for optimum business decision at various discussion- cum-learning fora / Seminars at institutes of National and International repute
Customer-oriented, people-friendly and collaborative professional skills with ability to work effectively and deliver across multi-cultural environments
Expertise in Domain BFSI, Healthcare, Energy (Oil &Gas), Natural Resource & Utilities, Manufacturing & High-tech, Global Media & Telecom, Retail & Advance Technologies, IT Enable Service & Management & IT Education, Gaming & Information Security, Business Process re-engineering /, Platform & service
conducted 200+ training session on Continuous improvement, Business Intelligence & Statistics, Management & text analytics, process &Product quality Management across Domain & Technologies on the topics listed below:
Introduction to Basic Statistics, Data enabled Project Management, Business analytics & Problem Resolution & Management.
Data Exploration.
Variable Identification, Univariate Analysis. Bi-variate Analysis, Missing values treatment, Outlier treatment, Variable transformation & Variable creation.
Descriptive statistics:
Continuous Data:
Mean arithmetic geometric harmonic Median Mode
Measure of Location/central tendency: Mean arithmetic geometric harmonic Median Mode
Measure of Dispersion(span) : Variance Standard Deviation Coefficient of variation Percentile Range Interquartile range.
Measure of Shape: Moments Skewness Kurtosis L-moments
Discrete/Count data: Index of dispersion
Summary table: Grouped data Frequency Distribution Contingency table
Dependence: Pearson product-moment correlation Rank Correlation Spearman's rho Kendall's tau Partial Correlation, Correlation Regression analysis, Statistical inference etc.Data Visualisation
Graphics: Pie, Bar & Run chart, Box Plot, Q�?�¢??Q plot , Scatter Plot, Stem-and-leaf display Radar chart etc.
The seven QC tools for statistical process /Quality Control. as
Cause-and-effect diagram (also known as the "fishbone" or Ishikawa diagram)
Check sheet, Histogram, Pareto chart.
Control Charts
x bar and R chart, x bar and s chart, ImR chart or XmR chart, p-chart, np-chart, c-chart, u-chart, variable-chart, etc.
Capability study
Distribution identification, capability Measurement: CP, CPK, PP, PPK, Z Bench, defects per million opportunities.
Establishing performance Baseline & setting & revising Norms. setting Improvement target.
Hypothesis testing
Definition &Types of hypothesis and its use in test validation & decision Making.
Type I & Type II errors & level of significance. Sample size &power of a test.
Discrete (One Proportion, two Proportion & chi-square test)
Parametric (Z, T, F, ANOVA Test): variance & mean test
Nonparametric Tests
Mann Whitney U Test (Wilcoxon Rank Sum Test), Sign Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test,
Building Prediction Model & its use to achieve & improve Business goals.
Prediction, Forecasting & Modelling (Linear & nonlinear modes (Lm, GLM & Gls, montecarlo simulation etc.)
Classification & Data Reduction & Organization,
Data (Classification, Factorization & Clustering & Principal component analysis, machine learning (supervised & non-supervised learning)
Use of statistical test in performance, capability baselining, benchmarking, standardisation, target setting, Norm setting, improvement validation etc.
Experimental Analytics & Optimization:
Design of Experiment & Optimization (factorial, mixed, orthogonal, Latin square etc.).
Uses of the above quantitative tools in CMMI high maturity appraisal, ISO certification & Advance problem solving.
Introduction to software analytical package/tool (Minitab, SPSS, SAS, R programing)
DMAIC, Design for six sigma (DSSS+) software. Lean six sigma & Agile for delivery & Process excellence in management.
Metrics Program for Project, Program Management & Business Excellence
Estimation Modelling.
