Saloni Singh

With a Master's degree in Mathematics and additional studies in Linguistics and Text Mining from Vrije Universiteit Amsterdam (VU Amsterdam), I have a solid foundation in statistical data analysis, text mining, modelling, and optimization techniques. I have developed expertise in various programming languages such as R, Python, and SQL and data visualization tools like Tableau.

I am excited about the opportunity to collaborate with a team of professionals and stakeholders to identify strategic opportunities and answer critical business questions. As a Business Analyst at Ralph Lauren, I successfully built and deployed a model that streamlined supply chain operations through data scraping and form auto-filling. I leveraged OCR Tesseract capabilities and custom Natural Language Understanding and processing techniques to extract relevant information accurately, achieving a deployment accuracy of 97%.

Additionally, I developed predictive models that estimated the cost of raw materials and production expenses, enhancing cost optimization by 20% through techniques like feature engineering, data cleaning, and hyper-tuning the models. My internship in Data Analytics at Cybage Software involved working on customer feedback analysis projects and performing data cleaning, machine learning algorithms, and data visualization tasks to uncover insights and improve customer satisfaction.

With my strong analytical skills, ability to effectively communicate complex ideas, and proficiency in statistical programming languages and dashboarding tools, I am well-prepared to contribute to the success of your team. I am confident in my capacity to define requirements for A/B testing, analyse results, and generate actionable insights that drive business growth. Moreover, my experience with MicroStrategy and SSIS enables me to create and manage reports for various teams, facilitating data-driven decision-making processes.