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Hi, I'm Srushti Manjunath, a passionate Data Scientist with over four years of experience in designing and deploying machine learning, generative AI, and cloud-based solutions. I have worked across various sectors including finance, technology, and business operations, helping organizations optimize their decision-making processes through predictive modeling and advanced algorithmic techniques. I enjoy experimenting with the latest in AI technologies such as transformer-based models, agentic AI systems, and cloud platforms like AWS, Azure, and GCP. My goal is to leverage data and AI to deliver actionable insights that drive innovation and efficiency. Outside work, I love learning about new AI tools and refining my skills in machine learning and NLP.…Hi, I'm Srushti Manjunath, a passionate Data Scientist with over four years of experience in designing and deploying machine learning, generative AI, and cloud-based solutions. I have worked across various sectors including finance, technology, and business operations, helping organizations optimize their decision-making processes through predictive modeling and advanced algorithmic techniques. I enjoy experimenting with the latest in AI technologies such as transformer-based models, agentic AI systems, and cloud platforms like AWS, Azure, and GCP. My goal is to leverage data and AI to deliver actionable insights that drive innovation and efficiency. Outside work, I love learning about new AI tools and refining my skills in machine learning and NLP.

Srushti Manjunath

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I'm Srushti Manjunath, a passionate Data Scientist with over four years of experience in designing and deploying machine learning, generative AI, and cloud-based solutions. I have worked across various sectors including finance, technology, and business operations, helping organizations optimize their decision-making processes through predictive modeling and advanced algorithmic techniques. I enjoy experimenting with the latest in AI technologies such as transformer-based models, agentic AI systems, and cloud platforms like AWS, Azure, and GCP. My goal is to leverage data and AI to deliver actionable insights that drive innovation and efficiency. Outside work, I love learning about new AI tools and refining my skills in machine learning and NLP.…Hi, I'm Srushti Manjunath, a passionate Data Scientist with over four years of experience in designing and deploying machine learning, generative AI, and cloud-based solutions. I have worked across various sectors including finance, technology, and business operations, helping organizations optimize their decision-making processes through predictive modeling and advanced algorithmic techniques. I enjoy experimenting with the latest in AI technologies such as transformer-based models, agentic AI systems, and cloud platforms like AWS, Azure, and GCP. My goal is to leverage data and AI to deliver actionable insights that drive innovation and efficiency. Outside work, I love learning about new AI tools and refining my skills in machine learning and NLP.

Available to hire

Hi, I’m Srushti Manjunath, a passionate Data Scientist with over four years of experience in designing and deploying machine learning, generative AI, and cloud-based solutions. I have worked across various sectors including finance, technology, and business operations, helping organizations optimize their decision-making processes through predictive modeling and advanced algorithmic techniques.

I enjoy experimenting with the latest in AI technologies such as transformer-based models, agentic AI systems, and cloud platforms like AWS, Azure, and GCP. My goal is to leverage data and AI to deliver actionable insights that drive innovation and efficiency. Outside work, I love learning about new AI tools and refining my skills in machine learning and NLP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Wells Fargo

May 1, 2023 - Present

Engineered generative AI applications using transformer-based LLMs and multi-modal AI leveraging cloud platforms including AWS Bedrock, Azure AI, and GCP Vertex AI to build scalable query handling pipelines, automated reporting, and CI/CD integrations. Designed agentic AI systems for an internal assistant reducing analyst research time by 30%. Fine-tuned AI models using PEFT, LoRA, and RLHF techniques, optimizing training costs and response times by 35%. Built an internal Q&A assistant improving answer accuracy by 40%. Integrated LLMs with Salesforce Einstein and led A/B testing and prompt engineering to increase engagement by 20%. Containerized and deployed models with Docker, maintaining comprehensive documentation.

Data Scientist at Genpact

August 31, 2022 - July 18, 2025

Built and deployed NLP pipelines for chatbot systems achieving 90% accuracy on high volume queries, reducing human escalations by 35%. Developed custom entity recognition and sentiment analysis with transfer learning improving prediction accuracy from 68% to 92%. Conducted unsupervised learning and topic modeling that reduced customer churn by 15%. Managed model deployment and CI/CD processes with GitHub, TeamCity, and AWS Model Registry. Led proof-of-concept projects improving sales forecasting accuracy by 20% using Random Forests and XGBoost. Automated ETL pipelines to enhance reporting efficiency and support AI-driven insights.

Operations Manager & Data Scientist at Amazon India

July 31, 2021 - July 18, 2025

Improved demand forecasting accuracy by 15% using ML and time-series analysis in AWS SageMaker, reducing inventory costs and enhancing stock replenishment. Developed inventory and discount strategy features from customer and segmentation data, improving sales targeting. Utilized PySpark, Amazon S3, AWS Glue, and Athena to preprocess large datasets, enhancing data quality and reducing wrangling time. Created Tableau dashboards for real-time KPI visualization enabling data-driven decisions at the executive level.