Maruthi L

Lead Data Scientist

Infrasoft Technologies•  July 2023 - January 2024•  Bengaluru

• Implemented machine learning algorithms and rule-based algorithms to identify fraudulent medical claims for US public healthcare Insurance providers. Generated leads based on the healthcare fraud indicators which will be used to file legal cases against healthcare service providers like hospitals, clinics, pharmacies and doctors depending on bill amount, for financial recovery and take necessary legal action. • Worked on GenAI, LLMs, LangChain, RAG pipelines, OpenAI, Chatbot, PySpark, Python, SQL, AWS Sagemaker, S3, Athena, Azure DevOps.

Lead Data Scientist

US Technologies Pvt Ltd•  September 2022 - June 2023•  Bengaluru

• Designed and developed data preprocessing techniques ANOVA, F-test, Chi-square Filter. Machine learning algorithms such as KNN, Naïve Bayes Classifier, SVM using big data framework Pyspark, AWS and Kubernetes. • Experience with machine learning libraries SciKit-Learn, Keras, TensorFlow, matplotlib, seaborn. • Lead the team by assigning and monitoring daily tasks and assisting team on roadblocks.

Data Scientist

Kantar Analytics Pvt Ltd•  November 2019 - September 2022•  Bengaluru

• Implemented various machine learning method such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, SVM, deep learning, reinforcement learning, etc using Python, Pyspark, AWS and Kubernetes. • Quantified the impact of key sales drivers such as price, distribution, media and promotion on sales across different categories of Retail and CPG brands using Market mix modelling (MMM). Developed an investment optimization engine to estimate the budget requirements to achieve the future target sales.Investigation of impact of advertisement campaigns across multiple media channels TV and digital.

Data Scientist

ABB Global Industries Pvt Ltd•  September 2018 - November 2019•  Bengaluru

• Understanding business requirements and translating them to technical specifications, interpret data, analyze results using statistical techniques. • Coordinating with different Business Units like product management, sales and marketing to provide actionable insights using machine learning methods as per the business needs. • Implemented Electric Power Pilferage detection using machine learning algorithms to minimize commercial losses in electrical distribution.

Data Analyst

Klaus IT Solutions Pvt Ltd•  May 2017 - May 2018•  Bengaluru

• Introduced business process improvements and streamlined operations by making reliable forecasts using Python. • Customer segmentation model for targeted promotional campaigns. • Customer product review analysis using Natural Language Processing (NLP) to assess the performance of each product and find out the reasons for failure or success of a product.