Ashwin Ramanathan
Data Scientist
Chennai,TN
Summary
Experienced in building products that add business value in terms of cost savings/time savings. Exposed to deploying solutions on the cloud. Experienced in owning end to end data science process that includes getting the right data, applying best engineering practices and communicating results in the best possible manner.
Overview
3
3
Certifications
5
5
years of post-secondary education
7
7
years of professional experience
Work History
Associate Data Scientist
Shell
Chennai, Tamil Nadu
04.2019 - Current
- Accelerated revenue by developing and owning Market Basket Analysis solution for large scale retail data basket affinity analysis, on Azure Databricks platform.
- Conserved dashboard reading time by building Automatic Insights generator as for executive summary from long/detailed Power BI dashboards using R in backend of Power BI for data summarization.
- Succeeded in designing Out of stock identification tool- early warning system for retail store managers to better stock their inventory using Time series modeling in Azure Databricks.
- Engineered recommendation system, responsible for boosting indirect channel sales (B2B) of lubricants ,engine oils and coolants by virtue of giving apt recommendations for sales pitches based on customer preferences and buying history.
- Headed project for finding effect of customer satisfaction on sales volumes, managing end to end process from collecting data to developing regression models while getting feedback from stakeholders.
- Redesigned large scale claims processing filed by clients of shell, by developing automation frameworks focusing Alteryx workflows, thereby reconciling many productive man-hours.
- Tracked data retrieval time using parallel processing/multicore processing techniques in R, Python and implemented better ways to mine data from HANA database setting aside traditional SQL based querying
Business Intelligence Engineer
Amazon
Seattle, Washington
02.2017 - 09.2018
- Boosted customer trust on Amazon.com, by identifying and blocking fake and abusive product reviews, that spoiled overall customer experience, using traditional logistic regression modeling.
- Quantified success of product launches by conducting statistical significance tests on random sample of test and control group of customers.
- Designed Python program for monitoring and maintaining advertiser universe on Amazon.com, ensuring seamless journey tracking of prospective clients from lead stage to onboarding. This tool was used by sales executives and senior leaders alike.
- Ensured flawless data migration from traditional Oracle database to cloud based AWS redshift, by taking care of data quality, partitioning and phased onboarding of users onto new DB, thereby ensuring business as usual for all internal stakeholders.
- Engineered databases that addressed reporting and analysis needs of product managers and business analysts by clear understanding of business requirement, identification of source data in various pockets, building pipelines for data transfer and taking responsibility for any breakage or downtime in newly constructed DB, by drafting SOP.
- Contributed to operational excellence in data engineering by developing guidelines for efficient query writing, constructing ETL jobs and setting up of alarms to proactively fix leakages in data pipeline.
Research Assistant
University of Connecticut
Hartford, Connecticut
09.2015 - 10.2016
- Assisted tenured professors in operations and management divisions of university with their research work, in capacity of data analyst for fetching data , coming up with interesting patterns and gathering data evidence for given hypothesis that would help advance their research towards paper publication(s) in reputed journals such as INFORMS,IEEE.
- Researched public transportation data in New York city and examined distribution of commute between systems subway, buses, bike share and ride hailing apps such as uber and how this has possibly changed demographics of NYC and its carbon emissions.
- Studied time difference in open source software development by individual repositories versus organizational repositories on GitHub by understanding data behind commits, pull requests and open issue management
Data Science Intern
UBS - Global Evidence Labs
New York, New York
05.2016 - 08.2016
- Implemented automatic document classification of financial research papers, based on pre defined taxonomy using standard techniques in Natural Language processing such as LDA,LSA and N-gram modeling .
- Explored topic modeling toolbox API, built at stanford university as possible solution to achieve higher accuracy in multi -class document classification.
Analyst
Latentview Analytics
Chennai, Tamil Nadu
06.2013 - 07.2015
- Created sentiment analysis engine in Python for extracting and analyzing tweets on commercials that were aired in between NFL Superbowl, improving social media campaigns by 50 percent in terms of user engagement
- Delivered insights on user churn in websites, using traditional techniques in regression such as CART, thereby capturing shift in user behavior using clickthrough rate of different parts of website.
Education
Master of Science - Business Analytics And Project Management
University of Connecticut
Connecticut, USA 08.2015 - 12.2016
Bachelor of Technology - Electrical And Electronics Engineering
SASTRA University
Thanjavur, India 06.2009 - 04.2013
Skills
Python
Statistical Analysis/Modelling
Machine Learning
Power BI/Tableau/Data Viz
Microsoft Azure
Natural Language processing
ETL/SQL
Project Management
R
Databricks/ML Flow
Certification
Databricks SQL Analyst
Timeline
Associate Data Scientist
Shell
04.2019 - Current
Business Intelligence Engineer
Amazon
02.2017 - 09.2018
Data Science Intern
UBS - Global Evidence Labs
05.2016 - 08.2016
Research Assistant
University of Connecticut
09.2015 - 10.2016
Master of Science - Business Analytics And Project Management
University of Connecticut
08.2015 - 12.2016
Analyst
Latentview Analytics
06.2013 - 07.2015
Bachelor of Technology - Electrical And Electronics Engineering
SASTRA University
06.2009 - 04.2013