Ravi Teja Amaravadhi

AI Researcher

Cincinnati, Ohio, United States16 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

9 years of experience in data science and analytics.
Founded a successful analytics startup.
Designed advanced analytics solutions for Fortune 500 companies.

Stackforce AI infers this person is a Data Science expert with a focus on Retail and Analytics solutions.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Azure DatabrickssparkPython (Programming Language)Business AnalyticsData AnalysisLogistic RegressionStatistical ModelingSASETLMicrosoft ExcelLinear RegressionFactor AnalysisSAS programmingPredictive ModelingPredictive Analytics

About

Help organizations to deliver innovating edge solutions integrated with data based analytics that will help your business to be a leader in this competitive landscape. Previously created a startup - Sankheki Analytics and Research with a team of 9 people and worked as a manager at Meritus analytics, has 9 years of experience in various marketing, Retail, Financial services and consumer analytics, designed and implemented various analytics solutions for fortune 500 companies.

Experience

16 yrs 5 mos

Total Experience

4 yrs 1 mo

Average Tenure

6 yrs 9 mos

Current Experience

Abzooba

2 roles

Specialist II - Data Science

Jan 2022 – Present · 4 yrs 3 mos · Cincinnati Metropolitan Area · Remote

Senior Data Scientist

Jun 2019 – Dec 2021 · 2 yrs 6 mos · Cincinnati Metropolitan Area · Remote

Azure DatabrickssparkData Science

Abzooba india infotech private limited

Manager - Data Science

Dec 2016 – May 2019 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Managed a team of 3 Data scientists & 2 data engineers and developed the tool and implemented across all the stores & categories.
Design and develop advance data science solutions for pre-sales delivery requirements.
Using machine learning, developed 3PL Carrier-Load ranking algorithm based on carrier’s past performance for a large retail client.
Designed data science solutions such as customer profiling, employee attrition analytics for a Human resource consulting firm.
Designed predictive analytics for a large retail client to reduce the Shrinkage/Loss of products in their Supply chain & Store operations.

Machine LearningPython (Programming Language)Data Science

Sankheki analytics & research

Founder, MD

May 2013 – Dec 2016 · 3 yrs 7 mos · Bengaluru, Karnataka, India

Sankheki is a consulting analytics firm focussed primarily upon supply chain and retail domain. Its a team of professionals competent in leveraging big data analytics to bring implementable practical business solutions.

Meritus analytics, a wpp company

3 roles

Manager

Jan 2012 – Apr 2013 · 1 yr 3 mos

Training and delegating on the Market Mix Model(MMM) projects in the team.
Training the teams on the different statistical techniques and their application to different client's business problems.
Built the back-end Analytics architecture for the Indian Rural Market prioritization tool.
Successfully explored a technique(Bayesian -VAR) to measure the effectiveness of Marketing driver on a Purchase pathway.

Senior Analyst

Promoted

Jan 2011 – Dec 2011 · 11 mos

Client interactions: Undertake initial discussion with clients to understand business problem and project objective.Analyze and simplify underline major requirements of a business problem.
Training the new employees on Market Mix Model(MMM) concepts and other statistical concepts.
Introducing new Statistical concepts and tools: Worked on R- software,a opensource platform to run statistical analysis.Explored Segmentation analysis and propensity model technique and its application in various business scenarios.

Analyst

Jun 2009 – Dec 2010 · 1 yr 6 mos

Market Mix Models: Building statistical models to measure the effectiveness of marketing drivers on sales of product.
CPG Category sales forecasting: Building forecast models on sales and also the macro-economic impact on the same.