I'm Ashok Kumar Akula, a versatile and results-driven Data Scientist with 5+ years of experience in machine learning, deep learning, NLP, generative AI, statistical modeling, and big data engineering. I have built, trained, and deployed large-scale ML solutions across finance, healthcare, e-commerce, and SaaS, and I'm proficient in Python, R, SQL, Spark, TensorFlow, PyTorch, AWS, Azure, and GCP. I excel in end-to-end data pipelines, model deployment, data governance, MLOps, and collaborating with stakeholders to translate complex requirements into actionable insights. I specialize in building robust ML solutions, deploying them at scale, and delivering data-driven business impact. I enjoy partnering with product and business teams, conducting experiments and A/B tests, and creating clear, real-time dashboards for executives to monitor performance and risk. I am passionate about applying Generative AI to reporting and automation, reducing manual effort and accelerating decision making.…

Ashok Kumar Akula

I'm Ashok Kumar Akula, a versatile and results-driven Data Scientist with 5+ years of experience in machine learning, deep learning, NLP, generative AI, statistical modeling, and big data engineering. I have built, trained, and deployed large-scale ML solutions across finance, healthcare, e-commerce, and SaaS, and I'm proficient in Python, R, SQL, Spark, TensorFlow, PyTorch, AWS, Azure, and GCP. I excel in end-to-end data pipelines, model deployment, data governance, MLOps, and collaborating with stakeholders to translate complex requirements into actionable insights. I specialize in building robust ML solutions, deploying them at scale, and delivering data-driven business impact. I enjoy partnering with product and business teams, conducting experiments and A/B tests, and creating clear, real-time dashboards for executives to monitor performance and risk. I am passionate about applying Generative AI to reporting and automation, reducing manual effort and accelerating decision making.…

Available to hire

I’m Ashok Kumar Akula, a versatile and results-driven Data Scientist with 5+ years of experience in machine learning, deep learning, NLP, generative AI, statistical modeling, and big data engineering. I have built, trained, and deployed large-scale ML solutions across finance, healthcare, e-commerce, and SaaS, and I’m proficient in Python, R, SQL, Spark, TensorFlow, PyTorch, AWS, Azure, and GCP. I excel in end-to-end data pipelines, model deployment, data governance, MLOps, and collaborating with stakeholders to translate complex requirements into actionable insights.

I specialize in building robust ML solutions, deploying them at scale, and delivering data-driven business impact. I enjoy partnering with product and business teams, conducting experiments and A/B tests, and creating clear, real-time dashboards for executives to monitor performance and risk. I am passionate about applying Generative AI to reporting and automation, reducing manual effort and accelerating decision making.

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Work Experience

Data Scientist at Genworth Finance
September 1, 2024 - Present
Built and deployed predictive risk scoring and fraud detection models using Python, SQL, and AWS SageMaker, improving accuracy by 20% while reducing false positives. Designed time series forecasting models (ARIMA, LSTMs, Prophet) for financial projections, boosting planning accuracy by 18%. Developed NLP pipelines with BERT and GPT for sentiment analysis, compliance text summarization, and customer feedback classification. Automated end-to-end ML workflows with Airflow, MLflow, and Docker, ensuring scalable and repeatable deployments. Partnered with data engineers to create cloud-based pipelines in Spark and AWS Glue, processing multi-terabyte financial datasets. Built Tableau and Power BI dashboards for executives to monitor KPIs, model performance, and business insights in real time. Implemented Generative AI-based reporting systems, reducing manual review efforts by 40%. Collaborated with product and business teams to translate requirements into ML solutions, conducting A/B testing
Data Scientist at Veritas, India
July 1, 2023 - October 15, 2025
Created classification, regression, and clustering models for enterprise storage data, proactively identifying anomalies and improving product reliability. Designed recommendation systems combining collaborative filtering and content-based methods, increasing user engagement by 15%. Applied computer vision (CNNs, transfer learning) to detect hardware defects, reducing quality issues by 25%. Engineered big data ETL pipelines with PySpark and Hadoop, cutting processing time by 35% and improving reliability. Conducted EDA and advanced statistical modeling to generate insights that supported product optimization and business decisions. Deployed predictive dashboards in Tableau and Power BI, enabling leadership to monitor system performance and predict failures. Integrated ML solutions into CI/CD pipelines with Jenkins and GitHub Actions, ensuring faster production rollouts. Researched and applied state-of-the-art ML algorithms (XGBoost, Random Forest, Gradient Boosting) to optimize predict

Education

Master of Science at Florida Atlantic University
January 11, 2030 - April 1, 2025

Qualifications

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