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I am a Data Scientist with 5 years of experience designing and deploying ML and AI solutions. I am proficient in Python, R, SQL, and deep learning frameworks (TensorFlow, PyTorch), with expertise in LLMs, CNNs, GANs, and NLP-driven recommendation systems. I excel in building scalable ML pipelines and dashboards, with hands-on MLOps experience using AWS SageMaker, Azure ML, Docker, and Kubernetes. I enjoy collaborating in Agile teams, mentoring junior data scientists, and innovating data pipelines that improved efficiency by 30% and accelerated decision-making.…I am a Data Scientist with 5 years of experience designing and deploying ML and AI solutions. I am proficient in Python, R, SQL, and deep learning frameworks (TensorFlow, PyTorch), with expertise in LLMs, CNNs, GANs, and NLP-driven recommendation systems. I excel in building scalable ML pipelines and dashboards, with hands-on MLOps experience using AWS SageMaker, Azure ML, Docker, and Kubernetes. I enjoy collaborating in Agile teams, mentoring junior data scientists, and innovating data pipelines that improved efficiency by 30% and accelerated decision-making.

Sai Krishna Chittanuri

Data Scientist, AI Engineer, Data Analyst, +5

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I am a Data Scientist with 5 years of experience designing and deploying ML and AI solutions. I am proficient in Python, R, SQL, and deep learning frameworks (TensorFlow, PyTorch), with expertise in LLMs, CNNs, GANs, and NLP-driven recommendation systems. I excel in building scalable ML pipelines and dashboards, with hands-on MLOps experience using AWS SageMaker, Azure ML, Docker, and Kubernetes. I enjoy collaborating in Agile teams, mentoring junior data scientists, and innovating data pipelines that improved efficiency by 30% and accelerated decision-making.…I am a Data Scientist with 5 years of experience designing and deploying ML and AI solutions. I am proficient in Python, R, SQL, and deep learning frameworks (TensorFlow, PyTorch), with expertise in LLMs, CNNs, GANs, and NLP-driven recommendation systems. I excel in building scalable ML pipelines and dashboards, with hands-on MLOps experience using AWS SageMaker, Azure ML, Docker, and Kubernetes. I enjoy collaborating in Agile teams, mentoring junior data scientists, and innovating data pipelines that improved efficiency by 30% and accelerated decision-making.

Available to hire

I am a Data Scientist with 5 years of experience designing and deploying ML and AI solutions. I am proficient in Python, R, SQL, and deep learning frameworks (TensorFlow, PyTorch), with expertise in LLMs, CNNs, GANs, and NLP-driven recommendation systems. I excel in building scalable ML pipelines and dashboards, with hands-on MLOps experience using AWS SageMaker, Azure ML, Docker, and Kubernetes. I enjoy collaborating in Agile teams, mentoring junior data scientists, and innovating data pipelines that improved efficiency by 30% and accelerated decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Charles Schwab

September 1, 2023 - Present

Spearheaded end-to-end real-time ML pipelines for fraud detection, incorporating multi-channel streaming data (banking APIs, payment gateways, behavioural analytics, device intelligence) to maximize detection accuracy and minimize false positives. Operationalized models (XGBoost, LightGBM, Autoencoders, Isolation Forest, Graph Neural Networks) via AWS SageMaker, Lambda, and Fargate; containerized with Docker and Kubernetes to handle increased transaction volume and 30% faster processing. Integrated data from SQL Server, PostgreSQL, BigQuery, Snowflake; pioneered graph-based anomaly detection for improved risk stratification. Collaborated with risk, compliance, and product teams to align fraud detection with GDPR, CCPA, SOX; delivered real-time dashboards (Power BI, Tableau) with geospatial analytics for executives; implemented automated retraining, CI/CD, A/B testing, and explainability (SHAP, LIME).

Data Scientist at WebCode IT

January 1, 2019 - December 1, 2021

Analyzed historical e-commerce data to identify trends and drivers; developed and validated predictive models (ARIMA, Prophet, LSTM, XGBoost) for 12-month sales forecasts and churn prediction, contributing to a 5% churn reduction and improved revenue planning. Engineered features from CRM, Google Analytics, Facebook Ads, and inventory data to enhance segmentation and personalization. Automated ETL workflows, deploying models via Flask, FastAPI, Docker, Kubernetes, and AWS SageMaker; built real-time dashboards (Power BI, Google Data Studio) for KPI monitoring. Monitored model performance with Prometheus, Grafana, and AWS CloudWatch; maintained CI/CD pipelines (Jenkins, GitHub Actions).