Arul Bharathi
Senior Manager, Applied Ai & Ml @McAfee
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WORK HISTORY
Senior Manager, Applied Ai & Ml @McAfee
Vancouver, BC, CA
Spearheaded consumer personalization and recommendations team and built the AI ML stack to support acquisition, retention, and user engagement. Mastered payment patterns and fraud detection capabilities and designed smart billing and personalized payment optimization systems to increase Payment Success Rates (PSR) Leading a team of high-impact data scientists and leveraging state-of-the-art tools and techniques Exploring feature affinity, user propensity, and customer segmentation models Designing and developing consumer feature store over several PBs of clickstream data Handling complex use cases involving highly imbalance rare events mining and sparsity
EDUCATION
International Institute of Information Technology Bangalore
Post Graduate Diploma, Data Analytics
Anna University Chennai
Bachelor of Engineering, Computer Science and Engineering
Simon Fraser University
Master of Science (M.Sc) - Computing Science, Big Data, Data Science
SKILLS
ABOUT ARUL BHARATHI
A Principal AI ML Scientist/Leader with nearly a decade of experience in exploring, analyzing, and researching financial, real-estate, and user behaviour data to procure insights, prescribe recommendations, build models, design experiments and deploy scalable machine learning applications. ML Competencies:Data Cleaning, Data Wrangling, Data Exploration, Data Analysis, Data Validation, Feature Extraction, Experiment Design, Feature Engineering, Feature Selection, Hypothesis Testing, Model Building - Regression, Classification, Clustering, Recommendation Engines, Model Performance Tuning, Model Evaluation, Visualization and ReportingDeep Learning Competencies:Vision-based: Image Classification, Image Regression, Image Segmentation, Image Ranking, Image Similarity, Image Recommendation, Image Style Transfer, Image EnhancementNLP- based: Text Classification, Text Representations, Named Entity Recognition, Text Description MiningML Engineering Expertise:Big Data ETL Pipelines, ML/DL Inference Pipeline Design & Development, Feature Store Design, Feature Extraction & Transformation Pipeline Design, Model Packaging & API Development, Serverless ML API Development Project Management Competencies:ML Project Planning, Estimation, Demand Forecasting, Resource Allocation, SDLC & Agile ML Strategies, Use Case DesignSkill Stack:ML Skills: Random Forest, Linear/Logistic Regression, Gradient Boosting Trees, Approximate Nearest Neighbors, Support Vector Machines, PCA, K-means ClusteringDeep Learning Skills: CNN, RNN, LSTM, Hyperparameter Optimization, Learning Rate Scheduling, Loss Function Exploration, and TuningEngineering Skills: • Big Data - Spark, Hadoop• AWS Cloud - EC2, S3, EMR, Athena, Lambda• Deployment - SageMaker, Lambda Serverless, Restful API - Flask, ECS + API Gateway• ETL - Glue, Spark, SQLTools and Tech: Python, R, MS SQL, MySQL, PyTorch, Tensorflow, Keras, Flask, FastAI, Jupyter/Anaconda, Excel, Tableau
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