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Arunkumar Singh

Senior Data Scientist at Fiskars Group

Based in Helsinki, Finland

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Seniority

Staff

Department

Information Technology

Location

Helsinki

Industry

Manufacturing

Company size

3K

Contact information

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Email

1 credit

a•••••••@fiskarsgroup.com

Phone

5 credits

+358 ••• •••• ••••

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Background

About Arunkumar Singh

Skills: Cloud Technologies: Microsoft Azure tech stack (Data Factory, Datalake, MSSQL, Machine Learning Studio, DevOps, Databricks, Fabric, AI Foundry) AWS tech stack (Datalake S3, Redshift, Athena, Data pipeline, Lambda, SQS, SES, SNS, ECS, EMR) Programming Languages: SQL Python Spark At Fiskars Group, I have had the privilege of contributing to the success of a diverse portfolio of iconic brands, including Fiskars, Iittala, Arabia, Moomin, Royal Copenhagen, Georg Jensen, Waterford, Wedgwood, Royal Albert, Royal Doulton, and Gerber. Operating across multiple global locations, our data-driven strategies have transformed our approach to analytics in the consumer goods industry. My competencies in advanced data science techniques and cloud technologies like AWS and Azure have been pivotal in this transformation. Key Contributions: Campaign Optimization with Advanced Models: Utilized state-of-the-art algorithms to enhance marketing campaign effectiveness, planning and executing four major campaigns and multiple smaller campaigns, significantly boosting sales through targeted Next Best Offer strategies. Cold Start Problem Solved: Implemented solutions to recommend personalized offers even for new customers without historical data, driving initial sales and customer engagement. Customer Lifetime Value: Developed predictive models to estimate the long-term value of customers, aiding in strategic decision-making that maximizes sales potential. Price Optimization: Applied data-driven strategies to determine optimal pricing, maximizing both revenue and customer satisfaction, thereby enhancing overall sales performance. Store Re-order Improvement: Enhanced inventory management through predictive analytics, ensuring timely re-ordering and minimizing stockouts, which in turn supports consistent sales. Demand Forecasting: Implemented advanced forecasting models to predict future product demand accurately, improving supply chain efficiency and ensuring product availability to meet sales demand. These advancements have significantly contributed to our operational success and strategic growth in a highly competitive and dynamic market. Driven by my keen interest in artificial intelligence, I also successfully developed a GenAI-based chat assistant for Fiskars' e-commerce site. The primary goal of this chat assistant was to increase awareness of Fiskars products and drive sales. Currently, it is undergoing enhancements based on insights gained from its initial two months of operation during the spring.

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