Abhilash Menon Email & Phone Number

New York, Ny, Us

Lawrence Township, Nj, Us

Armonk, 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

Armonk, 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)

Armonk, 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

Clemson, 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

Master Of Science (Ms), Computer Science

Bachelor Of Engineering (B.E.), Computer Science