Raghavendra N

About Raghavendra N

A Data Science Practioneer with around 15+ years of experience as a Data Science role (Computational Data Science and Analytical Projects) and 12+years of IT Consulting & Strategy work experience. I have worked mainly in Retail(CPG), IT Consulting (Ticketing analysis), Telecom and Healthcare domains with some of the leading Fortune 500 companies. Have undertaken projects in both predictive and descriptive analytics with forte being in Generalized Linear Modeling, Statistical models-Linear regression, Multiple Regression, Logistic Regression, and Forecasting techniques, Auto regression, Varmax and ARIMA, Cluster Analysis, Factor Analysis, NLP (Sentiment Analysis), Machine Learning.Specialties: Statistical Analysis - Predictive Analysis and Demand Forecasting, Supply Chain, Market Mix Modelling, Hypothesis testing, Varmax, Principal component analysis and Logistic Regression, Bayseian Networks and Campaign Management for Creative TV GRP\'s and in Digital analytics platform POE (Paid Owned and Earned).Skill sets Used: GenAI and Agentic AI, Python, Spark, PySpark, GCP, MS Azure Databricks, R, SAS (Base and Stat), SAS (EG), SAS E-Miner, SPSS, Jupyter Notebook and Bayesian Lab Software, SQL (Data Extraction).Visualization Tools Used: SAS Visual Analytics, Tableau, Power BIQualification: MSc(Economics),PhD(Economics/Econometrics)\"PG Level Advanced Certification Programme in Computational Data Science\" from IISC Bengaluru (Jan\'2021-Oct\'2021), Grade-\"A+\"My Top 5 Strengths (Gallup Strength finder) – Strategic, Learner, Responsibility, Positivity and Restorative. RegardsRaghavendra N+91••••••••95Mail id- r••••••@gmail.com

Experience

1. Data Science Manager or Principal Data Scientist

   Accenture

   Apr 2021 — Present · Bengaluru, IN

   As Data Science Practitioner or Principal Data Scientist, I am responsible for the following: Working on Multiple Data Science Projects along with managing Data Science team. Working on one of the major retailer’s clients on Forecast & Demand Planner tool and leading the Data Science and Data Engineer team for final deliverables by using the cloud platform for end-end Data Science solution, build, implementation and deployment and working on post processing tools. Worked on POC for one of the major retailer’s clients on Promotion Analytics (Base & Uplift) and successfully delivered the POC solution for high precision base and uplift outputs for better promotion planning. Worked and successfully delivered on (Market Mix Modelling) project on Banking domain and build around 125 models for 6 major products (15 Sub-products) by managing 10 Data Scientists using Automated Python Scripts. Machine Learning Models used are XGBoost, LightGBM, ARIMA, BBN(Bayseian Belief Network),Market Mix Modelling, UCM, Prophet etc, Tools using are Python, Pyspark (Colab, Jupyter Notebook etc,), R, GCP, MS Azure Databricks, Tableau, Power BI.

Education

• University of Agricultural Sciences, Bangalore

  MSc(Ag.Economics), Economics,Econometrics,Statistics and Mathematics

  2002 — 2005

• Kuvempu University, Shankaraghatta, Shimoga

  PhD, Economics or Econometrics

  2007 — 2010

• Indian Institute of Science (IISc)

  "PG Level Advanced Certification Programme in Computational Data Science" -, Computational Data Science,Mathematics of Data Science,Machine Learning,Neural Networks,Big Data

Skills

• Retail Sales Analysis
• Segmentation
• Retail
• Sas Programming
• Regression
• Market Research
• Marketing Analytics
• Analytical Skills
• Analysis
• R
• Customer Insight
• Research
• Factor Analysis
• Healthcare Analytics
• Forecasting
• Data Mining
• Regression Testing
• Vas
• Sas
• Statistical Modeling
• Logistic Regression
• Predictive Modeling
• Glm
• Microsoft Excel
• Competitive Intelligence
• Econometrics
• Marketing Mix Modeling
• Spss
• Bayesian Networks
• Statistics
• Excel
• Customer Analysis
• Digital Media
• Cluster Analysis
• Multi-Channel Marketing
• Web Analytics