Chinnappar Antony
Staff Data Engineer at rakuten india
information technology and services
Chennai, Tamil Nadu, India
Pankaj Gaikwad
Data Science Engineer
About
9.5 + years of experience in Data Engineering, Business Intelligence, Predictive Analytics and Data Science. Expertise in Machine Learning, Forecasting, Deep learning, ETL, MSSQL server, Oracle, Domo, UNIX shell scripts.
Domain expertise in retail analytics and e-commerce - Membership - Logins, Points and Profile data. Proficient in building Microsoft LUIS and API based chatbot using NLP and ML. Azure ML Studio, Good knowledge of Big Data analytics and Apache Hadoop. Good understanding of workflow engine Digdag, Airflow.
Key Strength: Data extraction using SQL, Data visualisation, Natural Language Processing, Manipulation, Web Scraping, Python-based GUI application, Text analytics, Statistical modelling using R ,
BI Dashboards Tools: Domo, Power BI, Tableau, IBM Cognos
Contact Information
Professional Email
pan****@infosys.com
Personal Email
****@****.com
Work Phone
(***) ***-***
Mobile
(***) ***-***
Local Location
Bengaluru, Karnataka, India
HQ Location
bengaluru, karnataka, india
Industry
Computer Software
Designation
Data Science Engineer
Birthday
August 23
Rakuten India is the second-largest technology hub outside of Japan that enables & builds platforms for global E-commerce, Payments, Digital, AI and Data Science services across the globe.
Rakuten India is located in Bengaluru, also known as the Silicon Valley of India, where there is an abundance of talent. The work environment is seamless – the same as Tokyo, San Francisco, or Singapore. It has an easy and smooth collaboration across all Rakuten divisions. Rakuten India is an in-house innovation technology centre. Rakuten is ranked in the top 20 most innovative companies in the world by Forbes.
HQ Location
bengaluru, karnataka, india
Industry
software development
Employees
1368
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