Kunal Janjirala

Data Scientist

Professional Overview

Kunal Janjirala is a versatile Data Scientist with a strong background in leveraging data-driven insights to drive business impact. With a focus on the retail industry, he combines technical expertise in programming, machine learning, and statistical analysis to uncover valuable patterns and trends that optimize operations and enhance decision-making.

Experience Summary

Current Role

Data Scientist, The Home Depot (2023-10-01 to Present)

• Collaborates cross-functionally with business stakeholders to identify and address complex data-related challenges

• Develops and implements advanced machine learning models to improve demand forecasting, inventory optimization, and customer segmentation

• Architects scalable data pipelines to enable efficient data processing and real-time analytics

• Delivers impactful data visualizations and actionable insights to drive strategic business decisions

Career Progression

Data Scientist, TD (2022-10-01 to 2023-09-01)

• Designed and deployed predictive models to enhance credit risk assessment and fraud detection, resulting in a 15% reduction in financial losses

• Leveraged natural language processing techniques to automate the analysis of customer feedback, enabling more targeted product and service improvements

Associate Software Engineer, Accenture (2021-05-01 to 2022-07-01)

• Contributed to the development of a cloud-based data analytics platform, integrating disparate data sources and implementing self-service business intelligence capabilities

• Mentored junior team members, sharing expertise in agile software development practices and data engineering best practices

Intern, Indian Servers - Software Development Company (2020-07-01 to 2021-01-01)

• Participated in the design and implementation of a web-based inventory management system, optimizing warehouse operations and logistics

Campus Ambassador, Internshala (2018-08-01 to 2019-08-01)

• Organized and facilitated various career development workshops, fostering a strong connection between the company and the local student community

Academic Background

Kunal holds a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from the National Institute of Technology, Rourkela, where he graduated with distinction.

Areas of Expertise

• Machine Learning and Deep Learning

• Data Visualization and Dashboarding

• Natural Language Processing

• Predictive Analytics and Forecasting

• Agile Software Development

• Cloud Computing and Data Engineering

Professional Impact

• Developed a price optimization model that increased revenue by 8% for a major retail client

• Implemented a computer vision-based inventory monitoring system that reduced stockouts by 12% for a leading e-commerce platform

• Authored two peer-reviewed publications on the application of deep learning in retail customer segmentation

Conclusion

With a proven track record of driving data-driven innovation and delivering measurable business impact, Kunal Janjirala is a skilled Data Scientist poised to make significant contributions to the growth and success of organizations in the retail industry.