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Brijesh Shetty

@brijeshshetty

AI and Machine Learning Consultant at Learnbay AI who developed customer segmentation models that boosted retail sales by 15%.

India

Message

At Quadgen Wireless Soluons, I developed and deployed an end-to-end employee attrition prediction model that achieved 90% accuracy and contributed to reducing attrition by over 15%. I also analyzed data from 2,940 employees to identify key drivers of attrition.

As an Independent AI & Data Science Consultant at Learnbay AI, I developed machine learning solutions for bank term-deposit prediction and retail customer segmentation, achieving 91% validation accuracy. My segmentation models enabled targeted marketing strategies that boosted retail sales by 15%; I also built NLP and deep-learning projects for information retrieval, image classification, fake-news detection, and email topic modeling.

Experience

Work history, roles, and key accomplishments

Current

Independent AI & Data Science Consultant

Current

Learnbay AI

Jun 2021 - Present (5 years 4 months)

Developed and delivered end-to-end machine learning solutions for Bank Marketing (Term Deposit Prediction) and Retail Customer Segmentation, achieving 91% validation accuracy and driving a 20–25% improvement in campaign effectiveness and business growth. Constructed customer segmentation models utilizing statistical analysis and clustering techniques, enabling the implementation of targeted market

Machine Learning predictive modeling Feature Engineering EDA Python SQL scikit learn TensorFlow Keras Pandas NumPy Statistical Analysis Clustering Dashboard Reporting

Senior Associate – Data Science

Mastec Quadgen Solutions

Oct 2019 - May 2021 (1 year 7 months)

Engineered and implemented telecom churn prediction models using machine learning algorithms, achieving 80% prediction accuracy and reducing customer churn by a significant margin, leading to a 25–30% increase in revenue through enhanced customer retention. Partnered with cross-functional teams to gather business requirements, extract and preprocess data for 7,043 customers, and translate complex

Machine Learning predictive modeling Feature Engineering EDA Python SQL scikit learn TensorFlow Keras Pandas NumPy Model Evaluation

Associate Data Scientist

Quadgen Wireless Solutions

Sep 2018 - Sep 2019 (1 year)

Developed and deployed an end-to-end Employee Attrition Prediction model, achieving 90% accuracy and contributing to a reduction in attrition by over 15%, which enhanced workforce productivity by 30%. Collaborated with HR stakeholders to define business requirements, establish KPIs, and analyze data from 2,940 employees to identify key drivers of attrition.