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I'm a data scientist with 6+ years of experience delivering AI-driven automation and data analytics across finance and ecommerce. I enjoy turning complex data into actionable insights and building scalable end-to-end solutions using Python, ML frameworks, and modern web backends. I’m passionate about mentoring and collaborating with cross-functional teams, and I thrive in fast-paced, Agile environments. I’m committed to continuous learning and staying up-to-date with AI/ML advancements. My background spans backend development with FastAPI, frontend work with React, and cloud-based data processing, enabling me to deliver robust, end-to-end solutions that empower better decision making.…I'm a data scientist with 6+ years of experience delivering AI-driven automation and data analytics across finance and ecommerce. I enjoy turning complex data into actionable insights and building scalable end-to-end solutions using Python, ML frameworks, and modern web backends. I’m passionate about mentoring and collaborating with cross-functional teams, and I thrive in fast-paced, Agile environments. I’m committed to continuous learning and staying up-to-date with AI/ML advancements. My background spans backend development with FastAPI, frontend work with React, and cloud-based data processing, enabling me to deliver robust, end-to-end solutions that empower better decision making.

Harsha Bandi

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I'm a data scientist with 6+ years of experience delivering AI-driven automation and data analytics across finance and ecommerce. I enjoy turning complex data into actionable insights and building scalable end-to-end solutions using Python, ML frameworks, and modern web backends. I’m passionate about mentoring and collaborating with cross-functional teams, and I thrive in fast-paced, Agile environments. I’m committed to continuous learning and staying up-to-date with AI/ML advancements. My background spans backend development with FastAPI, frontend work with React, and cloud-based data processing, enabling me to deliver robust, end-to-end solutions that empower better decision making.…I'm a data scientist with 6+ years of experience delivering AI-driven automation and data analytics across finance and ecommerce. I enjoy turning complex data into actionable insights and building scalable end-to-end solutions using Python, ML frameworks, and modern web backends. I’m passionate about mentoring and collaborating with cross-functional teams, and I thrive in fast-paced, Agile environments. I’m committed to continuous learning and staying up-to-date with AI/ML advancements. My background spans backend development with FastAPI, frontend work with React, and cloud-based data processing, enabling me to deliver robust, end-to-end solutions that empower better decision making.

Available to hire

I’m a data scientist with 6+ years of experience delivering AI-driven automation and data analytics across finance and ecommerce. I enjoy turning complex data into actionable insights and building scalable end-to-end solutions using Python, ML frameworks, and modern web backends. I’m passionate about mentoring and collaborating with cross-functional teams, and I thrive in fast-paced, Agile environments.

I’m committed to continuous learning and staying up-to-date with AI/ML advancements. My background spans backend development with FastAPI, frontend work with React, and cloud-based data processing, enabling me to deliver robust, end-to-end solutions that empower better decision making.

Skills

Experience Level

Expert

Expert

Expert

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Expert

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Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at Experian

January 1, 2025 - Present

Spearheaded the development of a Machine Learning algorithm utilizing Python and FastAPI to automate end-of-work document creation for government submissions. Collaborated with cross-functional teams to gather data from various sources and managed data with PostgreSQL. Designed a reporting tool analyzing images pre- and post-renovation, improving status-determination accuracy by 30%. Optimized data processing workflows, reducing report generation time from 2 hours to 15 minutes. Mentored junior data scientists and presented findings to stakeholders. Conducted extensive testing and validation of algorithms with a 95% accuracy rate in image analysis for renovation projects. Integrated RESTful APIs for seamless frontend-backend data exchange and led Agile sprint planning. Analyzed user feedback to refine tool functionalities, increasing user satisfaction by 25%.

Data Scientist II at Target Corporation

November 1, 2023 - December 1, 2024

Developed predictive models to forecast customer purchasing behavior, improving marketing strategies and increasing sales by 20%. Collaborated with data engineering to streamline data pipelines using Apache Spark. Conducted A/B testing to evaluate marketing campaigns and provided insights to enhance engagement. Implemented Tableau visualizations for stakeholders and automated reporting with Python, decreasing manual effort by 40%. Engaged in stakeholder management and participated in Agile ceremonies. Trained junior analysts and explored new ML algorithms to stay at the forefront of industry advancements.

AI & ML Engineer at Liberty Mutual Insurance

January 1, 2022 - July 1, 2023

Engineered machine learning models using TensorFlow and Python to enhance risk assessment, achieving a 25% improvement in accuracy. Collaborated with software engineers to integrate AI solutions into existing applications via RESTful APIs. Performed data analysis and feature engineering to optimize model performance, resulting in a 30% reduction in false positives. Developed automated testing frameworks to validate model outputs and presented technical findings to non-technical stakeholders. Mentored interns and participated in Agile processes, while researching emerging AI technologies to implement innovative solutions.

Data Scientist at Wayfair

May 1, 2020 - December 1, 2022

Developed and deployed machine learning models to optimize inventory management, achieving a 20% reduction in excess stock. Collaborated with product teams to define data requirements and analytics strategies. Conducted exploratory data analysis using R and Python, informing product and marketing decisions. Built Power BI dashboards to visualize key metrics, and automated reporting reduced manual effort by 50%. Trained team members on ML concepts and collaborated with marketing on campaign performance, driving a 15% increase in conversions.