Nithin Anantharamakrishnan

AI Researcher

Seattle, Washington, United States14 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 10 years of experience in Data Science and Machine Learning.
  • Expert in building scalable data pipelines and architectures.
  • Proven track record in Business Intelligence and Data Analysis.
Stackforce AI infers this person is a Data Science and Engineering expert with a focus on E-commerce and Finance.

Contact

Skills

Core Skills

Business IntelligenceData ScienceData EngineeringData Analysis

Other Skills

Amazon RedshiftBusiness AnalyticsBusiness Intelligence (BI)CCustomer InsightDB2Data WarehousingDistributed SystemsHTMLHadoopHiveITIL v3 Foundations CertifiedMachine LearningMarketing AnalyticsNoSQL

About

10+ years of professional experience in applying Machine Learning and Data Science solutions to empower business strategy through science

Experience

Amazon

3 roles

Data Science Manager

Promoted

Sep 2020Present · 5 yrs 6 mos

Senior Data Scientist - Amazon Logistics

Oct 2018Aug 2020 · 1 yr 10 mos

Data Scientist - Prime Video

Dec 2016Sep 2018 · 1 yr 9 mos

Groupon

Data Science and Business Intelligence

Aug 2015Dec 2016 · 1 yr 4 mos · Chicago, IL | Groupon HQ

  • Tech Stack: Teradata | Hadoop Stack (Hive & Sqoop) | Tableau | Splunk
  • Designed and engineered the infrastructure that would help SVP's and Directors of Groupon make business critical decisions on improving the visibility and revenue generated by deals and products.
  • Engineered a scalable architecture for the merchandising team to monitor key metrics while launching large-scale campaigns on our platform.
  • Built intuitive clickstream data analysis models to recommend key metrics to improve the performance of site wide campaigns.
  • Worked on large and unstructured data sets residing on multiple MPP and distributed platforms such as Teradata and Hadoop to build easy to use and scalable architecture for the business users.
TeradataHadoopTableauSplunkBusiness IntelligenceData Science

Bank of america merrill lynch

Data Engineer

May 2014Aug 2015 · 1 yr 3 mos · New York, New York

  • Tech Stack: Graphs [NoSQL] | Python | Hadoop Stack | Oracle DB
  • Built effective and scalable data pipelines to integrate data from big data frameworks such as Hadoop, and RDF data store [NoSQL graph]
  • Led a data transformation project to convert a NoSQL graph data hub to simple relational oracle tables for the benefit of underlying downstream teams that are still challenged to harness value out of the NoSQL bigdata framework directly
  • Built a data pipeline to extract data from HBase servers [on top of HDFS] through parallel reads and transformed the data to suit business needs before integrating it to a common data platform
  • Responsible for maintaining the central reference data system for Sales, research and capital market teams which involves tasks such as cleansing, transformation and ensuring Integrity
  • Designed interactive and intuitive dashboards and reports using Tableau to monitor important metrics that are used by the business to track the sales performance of traders on a monthly basis
NoSQLPythonHadoopOracle DBData EngineeringData Science

Carnegie mellon university

2 roles

Teaching Assistant - Distributed Systems

Promoted

Jan 2014May 2014 · 4 mos

  • Imparted tutorials and helped the professor design assignment problems on distributed systems concepts encompassing
  • Hadoop HDFS and MapReduce
  • Android application development
  • Web Services
  • Computer Networks

Research Assistant - Data Privacy

Sep 2013Dec 2013 · 3 mos

  • Working on a project that analyses and measures the impact of social media on the hiring behavior of the firms in the United States.
  • The experiment is conducted with the data of 4000 companies across the US.
  • Used Python as a scripting language to scrape data from relevant websites
  • Used SSIS and SSAS to load and analyze the data
PythonSSISSSASData Analysis

Cognizant

Analyst

Jul 2010Mar 2013 · 2 yrs 8 mos

  • Automated the manual process of cleaning unused objects in a library in Mattel’s IBM Iseries server, reducing significant manual efforts by 8 hours per week.
  • Launched a new tool, OMEGA 400, developed in IBM Iseries which determined if the program is meeting the coding standards defined by the firm, check the complexity of the program using cyclomatic complexity metrics.

Aiesec

Team Member - Corporate Social Relationships

Mar 2008Apr 2009 · 1 yr 1 mo

  • 1. As an active member of the Incoming Exchange Wing, I helped students to find suitable internship programs through AIESEC Portal.
  • 2. Team member of the corporate social relationship wing.

Education

Carnegie Mellon University

Master of Science (MS) — Management Information Systems

College of Engineering, Guindy

Bachelor of Engineering (BE) — Computer Science

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