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I am a Data Scientist with around 4 years of experience applying advanced machine learning, deep learning, and statistical modeling techniques. I specialize in extracting actionable insights that drive data-driven decision-making and improving model accuracy across domains. I am proficient in big data technologies and cloud environments, skilled in predictive modeling, AI, and MLOps practices to streamline production workflows and deploy scalable AI solutions. I have a strong background in feature engineering, data preprocessing, and dimensionality reduction to optimize model performance. I enjoy leveraging my expertise in Python, R, cloud platforms, and big data tools to solve complex problems in financial services and other sectors. I am passionate about driving business outcomes through innovative data science applications and continuous learning.…I am a Data Scientist with around 4 years of experience applying advanced machine learning, deep learning, and statistical modeling techniques. I specialize in extracting actionable insights that drive data-driven decision-making and improving model accuracy across domains. I am proficient in big data technologies and cloud environments, skilled in predictive modeling, AI, and MLOps practices to streamline production workflows and deploy scalable AI solutions. I have a strong background in feature engineering, data preprocessing, and dimensionality reduction to optimize model performance. I enjoy leveraging my expertise in Python, R, cloud platforms, and big data tools to solve complex problems in financial services and other sectors. I am passionate about driving business outcomes through innovative data science applications and continuous learning.

Monish Suresh

Data Scientist, AI Engineer, AI Developer, +2

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I am a Data Scientist with around 4 years of experience applying advanced machine learning, deep learning, and statistical modeling techniques. I specialize in extracting actionable insights that drive data-driven decision-making and improving model accuracy across domains. I am proficient in big data technologies and cloud environments, skilled in predictive modeling, AI, and MLOps practices to streamline production workflows and deploy scalable AI solutions. I have a strong background in feature engineering, data preprocessing, and dimensionality reduction to optimize model performance. I enjoy leveraging my expertise in Python, R, cloud platforms, and big data tools to solve complex problems in financial services and other sectors. I am passionate about driving business outcomes through innovative data science applications and continuous learning.…I am a Data Scientist with around 4 years of experience applying advanced machine learning, deep learning, and statistical modeling techniques. I specialize in extracting actionable insights that drive data-driven decision-making and improving model accuracy across domains. I am proficient in big data technologies and cloud environments, skilled in predictive modeling, AI, and MLOps practices to streamline production workflows and deploy scalable AI solutions. I have a strong background in feature engineering, data preprocessing, and dimensionality reduction to optimize model performance. I enjoy leveraging my expertise in Python, R, cloud platforms, and big data tools to solve complex problems in financial services and other sectors. I am passionate about driving business outcomes through innovative data science applications and continuous learning.

Available to hire

I am a Data Scientist with around 4 years of experience applying advanced machine learning, deep learning, and statistical modeling techniques. I specialize in extracting actionable insights that drive data-driven decision-making and improving model accuracy across domains. I am proficient in big data technologies and cloud environments, skilled in predictive modeling, AI, and MLOps practices to streamline production workflows and deploy scalable AI solutions.

I have a strong background in feature engineering, data preprocessing, and dimensionality reduction to optimize model performance. I enjoy leveraging my expertise in Python, R, cloud platforms, and big data tools to solve complex problems in financial services and other sectors. I am passionate about driving business outcomes through innovative data science applications and continuous learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Data Scientist at JPMorgan Chase & Co.

December 1, 2023 - Present

Led the development of real-time risk assessment models improving accuracy by 28% and reduced default rates on 500K+ transactions annually. Designed automated anomaly detection systems identifying over $2M in fraud quarterly. Created ML-powered portfolio optimization tools increasing client portfolio performance by 12%. Developed distributed data pipelines using AWS to cut processing times by 55%. Built interactive dashboards with Tableau and Power BI reducing manual reporting by 35%. Implemented CI/CD and MLOps workflows with Docker, Kubernetes, and MLflow, lowering deployment time by 45%. Deployed an AI-driven chatbot automating 80% of customer inquiries, saving $1.2M annually and improving satisfaction scores by 15%. Enhanced financial forecasting using Bayesian models, improving precision by 22%. Optimized big data processing with Apache Spark and Dask, halving batch processing times.

Data Scientist at JPMorgan Chase & Co.

December 1, 2023 - Present

Spearheaded development of real-time risk assessment models improving prediction accuracy by 28% and reducing defaults. Designed automated anomaly detection to identify $2M+ in fraud quarterly. Built ML-powered portfolio optimization tools increasing client returns by 12%. Maintained distributed data pipelines on AWS reducing processing time by 55%. Created interactive dashboards for executive insights, cutting reporting effort by 35%. Implemented MLOps workflows with CI/CD pipelines, Docker, Kubernetes, reducing deployment time by 45%. Developed AI-driven financial advisor chatbot automating 80% of inquiries, saving $1.2M annually. Enhanced financial forecasting accuracy by 22% using Bayesian and deep neural networks. Optimized big data processing with Apache Spark and Dask, halving batch times.

Data Scientist at KPIT Technologies, India

August 31, 2022 - July 21, 2025

Engineered machine learning models for fraud detection improving accuracy by 35% and preventing $1M+ losses. Developed NLP text analytics for healthcare claims, reducing validation time by 40% and ensuring 99.5% compliance accuracy. Built predictive churn models increasing retention by 18%, adding $500K in revenue. Architected big data ETL pipelines processing 10TB+ using Apache Spark and Airflow, improving speeds by 60%. Led A/B testing for marketing campaigns boosting conversion rates by 22%. Created scalable recommendation engines raising engagement by 25%. Established data governance frameworks improving integrity to 99.9%. Mentored a team of 5+ analysts and engineers, reducing retraining time by 50%. Developed real-time predictive maintenance system decreasing downtime by 30%, saving $500K annually. Integrated MLOps with continuous training pipelines and automated monitoring, reducing technical debt by 40%.

Data Scientist at KPIT Technologies, India

August 1, 2022 - August 7, 2025

Engineered fraud detection models improving accuracy by 35% and preventing over $1M in losses annually. Developed NLP text analytics automating healthcare claim classification with 99.5% accuracy. Built churn prediction models increasing retention by 18%, yielding $500K revenue lift. Architected big data ETL pipelines processing 10TB+ data with Apache Spark and Airflow, improving speeds by 60%. Led A/B testing campaigns using Bayesian inference boosting conversion rates by 22%. Developed a scalable recommendation engine increasing user engagement by 25%. Established data governance and compliance frameworks (GDPR, SOC 2) improving data integrity to 99.9%. Managed a cross-functional team reducing model retraining time by 50%. Created predictive maintenance systems reducing equipment downtime by 30%, saving $500K annually. Integrated MLOps practices to reduce technical debt by 40%, enhancing model stability.