Additional Information
Summary
Skills
Work History
Education
Interests
OperationsManager
Janakiraman

Janakiraman

Data Science Consultant / Sr. Data Analyst
Chennai, Tamil Nadu

Additional Information

Mobile -> +91 9841129789

Email -> jany210906@gmail.com

Linkedin -> linkedin.com/in/janystyle

Summary

• 12+ years of total experience in Statistical modeling and Data Analysis

• 5+ years of experience in Data Science (Machine Learning)

• Specialized in analytical tools like R, Python, SQL, Advanced Excel, Minitab, Power BI and Tableau

• Expertise in statistical techniques Regression, Statistical Inference, Statistical Process Control, Clustering, Time Series, Bayesian Probability, Simulation

• Expertise in Machine learning algorithms (supervised, unsupervised, Time Series, NLP)

• Experienced in AWS cloud and exposure to S3 bucket, Athena, Glue job, Step function, Lambda

• Mentoring and sharing knowledge to team members on data science and statistical analysis front

• Exposure to kaggle projects like credit risk, fraud detection, demand forecasting etc.,

• To refresh concepts, done inhouse courses and also in udemy

• Proficient in developing statistical frameworks towards successfully getting the CMMI level 5 certification

• Mentored Six Sigma Black Belt projects & Green Belt project and SPOC for in-house six sigma projects

• Process Capability Baselines at Org Level, Baseline comparison using Hypothesis Testing (AB testing)

Skills

Python

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Work History

Senior Professional Data Sciences

DXC Technology
Nov.2016 - Current
  • Built ML products like Incident similarity, Knowledge Base prediction, Product and Issue prediction, Anomaly detection and gained experience in productionalised these products in AWS cloud with services of s3, athena, glue, lambda, step function
  • Part of BIONIX program and established ticket analysis across Organization for more than 100 accounts
  • Data Analysis done on Ticket dump which includes Incident, Service Request, Change Request, Problem, etc.,.
  • Developed ML model embedded dashboards using Power BI & Tableau
  • Other projects like Resource analysis using Fuzzy score, Productivity analysis on effort saving
  • Managed 10 member data science team and guide them to successful project closure

Assistant Manager - Statistical Modelling

Polaris Consulting and Services Ltd
Sep.2014 - Nov.2016
  • Developed Statistical prediction model on Projects data and Time Series forecasting model on Resource requirement for HR Department
  • Developed Queuing Theory Model for Resource Allocation for Production Support and Infra Projects
  • Bayesian Probability Forecast for Defect Category identification for multiple dimension
  • Statistical analysis on accounts data includes Hypothesis Testing done on org level metrics data on successful CMMi L5 appraisal
  • Mentored Six Sigma projects on Effort Reduction (Metrics Baseline Creation & Vendor Metrics Submission to vendor)
  • Metric SPOC at Org level
  • Training conducted on Six Sigma, Lean, Statistical Techniques, QC tools to managers across location
  • Received GEM Award for Process performance model development and implementation across Org projects

Assistant Manager - Quality (Data Analyst)

Syntel Ltd
Chennai
Apr.2011 - Sep.2014
  • Developed Statistical Prediction Models at Org Level and Account level using Regression technique
  • Developed Test Acceptance Model using Acceptance Sampling & Probability and recognized with Syntel Value award
  • Data cleaning and Statistics Analysis done on Org Level Project Data includes Hypothesis Testing done for Baseline comparison
  • Arrived Process capability baseline (PCB) for both organization level & account level using Control charts to arrive baseline and CP, CPk values for Capability Analysis
  • Metrics SPOC and Data Analyst at Org level
  • Mentored Six Sigma Black belt project o Defect Leakage reduction in critical projects
  • Training conducted on Statistics, QC Tools, Metrics process, QMS, SDLC and Defect Prevention Process

Associate Consultant

Polaris Software Lab Limited
Chennai
Sep.2008 - Apr.2011
  • Developed statistical models like Issue Prediction using Markov principle, IPPM using Regression technique
  • Statistical analysis done on normal and non-normal data to arrive Baseline for each project metrics at Org level
  • Applied box cox, Chebyshev inequality and Percentile method to arrive baseline for Non-normal data set
  • Applied appropriate hypothesis testing method to compare metrics baseline
  • Applied QC tools in various stages of analysis
  • Received Spot Excellence Award for Production Support Dashboard

Education

Six Sigma Black Belt Certified -

Anna University TVS Centre For Quality Management
Mar.2011 - Oct.2012

Master of Science - Statistics

Loyola College
Jul.2006 - Apr.2008

Bachelor of Science - Statistics

Loyola College
Jun.2003 - Apr.2006

Interests

Read Data Science blogs and news

Yoga, Fitness, Sports

Janakiraman Data Science Consultant / Sr. Data Analyst