Abhilash Menon Email and Phone Number
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Data Scientist with 7 years of experience, specializing in applied machine learning, A/B tests, data architecture, and ML Ops, for people and consumer analytics. Strong track record of delivering impactful projects across various industries, leveraging data to drive business value and helping organizations make better decisions. Experienced in designing and conducting A/B tests, building robust data pipelines, and deploying and managing machine learning models; passionate about solving complex business problems and driving innovation through data-driven insights.
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Associate Director (Machine Learning Engineer), Predictive Patient Solutions, CommercializationBristol Myers SquibbNew York, Ny, Us -
Associate Director, Predictive Patient Solutions, Commercialization Data ScienceBristol Myers Squibb Nov 2023 - PresentLawrence Township, Nj, Us
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Technical Lead, Data Science & Engineering, People AnalyticsIbm Feb 2022 - Aug 2023Armonk, New York, Ny, Us• Tech lead, Survey Research Center; managed and led development of HR data (ETL)/ML pipelines for company-wide surveys and reporting tools• Machine learning to understand levers of employee engagement and attrition at IBM• Revamping the engagement/attrition reporting architecture to generate organization-level metrics for all IBM managers ( 30k; data from 250k employees) under 1 minute (baseline: 6 - 10 hours) • Designing and implementing algorithms for engagement and attrition reporting and benchmarking, moving away from a manager ID-centric approach to track history and report on scores• A/B tests to perform deep dives on the effect of business decisions and investments across units and geographies• Leading the development and productionisation of tools to allow effective analytics, statistical modeling, and faster development of company solutions• Developing a self-service NLP solution to perform extractive text summarization on survey response data to generate top topics -
Advisory Data ScientistIbm Sep 2020 - Jan 2022Armonk, New York, Ny, Us* Graph-based recommender systems* Natural Language Processing on survey response data* Supervised ML for attrition/engagement prediction• Setting up zero-touch reporting tools that generate data for self-service dashboards• Connecting relevant solutions and algorithmic approaches to unstructured people analytics and reporting problems at IBM (Consulting role)• Developing data-driven solutions that can provide insights and recommendations at scale (backend logic to internal self-service dashboards and visualization tools)
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Data ScientistIbm Mar 2018 - Aug 2020Armonk, New York, Ny, Us• Developing applications for executive succession planning and propensity to leave (supervised models to predict attrition using XGBoost); model calibration (sigmoid/isotonic) was used to standardize raw probabilities; synthetic oversampling (SMOTE) and weighting was used for the under sampled class• Designing and implementing a real-time recommendation system from the ground up, using JanusGraph as the storage backend• Applying advanced statistical methods, machine learning and NLP techniques to people research problems at IBM• Enhancing topic modeling and sentiment analysis capabilities of internal offerings• Shaping the strategy for assessing the effectiveness of leadership, learning, and executive develop- ment through metrics and analytics that quantify the value to the business
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Graduate Research AssistantClemson University May 2016 - Dec 2017Clemson, Sc, Us• Developing a user interface accommodating requirements from Samsung Inc. and taking into account clusters of users which were encountered while analyzing data• Designing and implementing (on a team of two) multiple machine learning algorithms (hybrid classifiers) that iterate thousands of times and lead to if-then rules which recommend default privacy profiles to the users of an ’Internet of Things’ environment• Performing data mining and quantitative analysis on datasets using various mining algorithms and statistical methods to help substantiate human-centered computing theories• Responsible for the selection of suitable machine learning algorithms for incoming data• Building deep learning neural networks to predict privacy preferences of potential users for an IoT environment• Conducting exploratory data analysis and visualizing results using ggplot2, d3.js and Tableau
Abhilash Menon Skills
Abhilash Menon Education Details
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Clemson UniversityComputer Science -
Gujarat Technological UniversityComputer Science
Frequently Asked Questions about Abhilash Menon
What company does Abhilash Menon work for?
Abhilash Menon works for Bristol Myers Squibb
What is Abhilash Menon's role at the current company?
Abhilash Menon's current role is Associate Director (Machine Learning Engineer), Predictive Patient Solutions, Commercialization.
What is Abhilash Menon's email address?
Abhilash Menon's email address is ab****@****ibm.com
What is Abhilash Menon's direct phone number?
Abhilash Menon's direct phone number is +186472*****
What schools did Abhilash Menon attend?
Abhilash Menon attended Clemson University, Gujarat Technological University.
What are some of Abhilash Menon's interests?
Abhilash Menon has interest in Eminem, Left 4 Dead 2, Playstation (Ps1 Console), Sarah Palin, Intel, Snaptu, Bay Area Fastrak, Red Bull, Timbaland, Remember Me.
What skills is Abhilash Menon known for?
Abhilash Menon has skills like C, Html, Sql, Microsoft Office, Microsoft Excel, C++, Java, Javascript, Windows, Mysql, Php, Ns 2.
Who are Abhilash Menon's colleagues?
Abhilash Menon's colleagues are Kimberly Schlesinger, Mariana Bielefield, Jorge Vega, Kevin Huston, Eduardo Díaz De Miguel, Teri Bryant, Luisa Ioannilli.
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