Anjana Ambika - WIZBII Anjana Ambika has published his/her professional profile on WIZBII. A A

Anjana Ambika

Masters student in Big Data Analytics for Business in France

41years • Lille

Summary

I am a data enthusiast looking for an opportunity to bring in value using the various BigData tools. My goal is to be a data scientist as it would allow me to explore the world of data driven insights and derive interesting statistics which remain unexplored. My strong analytical skills and 12 years of experience in the field of IT, will help me achieve the same.

Skills

rsqlPredictive AnalyticsR ShinysasCredit ScoringInformaticaText MiningData WarehousingData MigrationProject ManagementSDLCSPSSPythonHadoop

Experiences

Associate Manager

06-2010 - 08-2016 IT developmentInformatica Lead (in India) in implementing data warehousing, data migration and data analytical solutions for Fortune 500 clients. Designed project architecture, Data Models and Global Data Hub. Subject matter expert for Oracle database. Worked as a co-location coordinator in USA and Hong Kong. Developed efficiency enhancement tools in MS Access and VBA. Involved in hiring and performance evaluation activities. End-to-end execution of project - Project planning, Hiring, Design, Execution, Project Management (team size 10). Domain: Telecommunication, Insurance, Retail, Healthcare.

Team Lead

06-2004 - 04-2010 IT developmentInformatica Lead for the team in India in implementing data migration solutions from legacy system (ULTIPRO) to TDS (Transient Data Base). Worked as an onshore-offshore coordinator in USA. Domain: Healthcare, Retail, Insurance, HR.

Education & training

IESEG School Of Management

2016 - 2017 Lille, France, LilleIT development, Studies / Statistics / Data, IT developmentPredictive Analytics Project I: Selecting potential donors for a reactivation Campaign for an NGO. Models used: Random Forest, C-Tree, Classification Tree, Logistic Regression, Step-wise Logistic Regression. Technologies used: R, Tableau Predictive Analytics Project II: Predicting products for front display for Leroy Merlin (Winner of Hackathon challenge). Model used: Linear regression. Technologies used: R, R Shiny Text Mining Project: Built resume parsing tool to upload resumes and on parsing, extracts the Job Titles, Skills and Companies. Technologies used: R, R Shiny. Core idea: Regular expressions

Lbs College Of Engineering, Kasaragod (India)

1999 - 2003 Kasaragod, Kerala, India, KasaragodDesign / Civil engineering / Industrial engineering, Energy / Materials / Mechanics

My soft skills

Persevering
Analytical
Independent
Flexible

Languages spoken

  • English

    Native language

  • French

    Basic

My dreams

After graduating

I want to be a Data Scientist in France. My wish is to live in France and travel across Europe.

My Internet presence

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