Open to opportunities

Akshat Shukla

@akshatshukla99

Message

I build end-to-end AI and ML products that reduce costs and automate decisions.

India

Message

What I'm looking for

I'm looking to solve complex business challenges by building and deploying end-to-end AI and ML products, especially where practical AI architecture can automate decisions, improve efficiency, and deliver measurable business impact.

I'm building AI and ML products at Tiger Analytics for health insurance, including fraud, waste and abuse detection that reduced total claim costs by 5–10% and claim adjudication automation that achieved a 93% straight-through processing rate.

I've developed NLP and RAG pipelines for non-payable-item extraction and codebase documentation, delivering 20% cost savings and improving developer onboarding and operational efficiency by 50%. I also designed a LangChain-based multi-agent system for automated hypothesis testing and natural-language model explainability.

Previously at Tiger Analytics, I engineered PySpark ML Accelerator modules that reduced time to production by 60%, built responsible-AI bias and fairness capabilities, and developed feature-store and model-monitoring solutions.

At Halliburton, I applied machine learning to oil and gas problems, improving drilling productivity by 8% and reducing lithology interpretation time by 60%. I enjoy solving complex business challenges through practical AI architecture.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Tiger Analytics

Jan 2024 - Present (2 years 7 months)

Architected unsupervised ML and statistical outlier detection models for fraud waste abuse in health insurance, reducing claim costs by 5-10%. Built a high-precision classification model for claim adjudication achieving 93% straight through processing rate.

Python PySpark Pandas NumPy scikit learn TensorFlow Keras fastAPI Flask Azure Databricks OpenAI Transformers NLP RAG MLFlow Docker Gitlab Jira

Senior Analyst DS/ML

Tiger Analytics

Dec 2023 - Dec 2024 (1 year)

Engineered core modules for a proprietary PySpark ML Accelerator package, reducing time-to-production by 60%. Built an automated bias and fairness module for responsible AI and developed an enterprise feature store and model monitoring module.

PySpark Python MLFlow Azure Databricks Feature Stores Model Monitoring Responsible AI Bias Monitoring

Data Science Analyst

Halliburton

Jul 2021 - Nov 2023 (2 years 4 months)

Designed classical ML models on SageMaker for the oil and gas industry. Engineered a classification model to predict drill bit degradation achieving 72% recall and built a lithology classification model with 88% accuracy.

Python AWS Sagemaker scikit learn Classification Feature Engineering

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Rourkela

Bachelor of Technology, Mining Engineering

2017 - 2021

Grade: CGPA 8.70

Pursued a Bachelor of Technology with a major in Mining Engineering and a minor in Mechanical Engineering, achieving CGPAs of 8.70 and 9.24 respectively.