Shefali Kanyal Email & Phone Number | As a data scientist, my passion lies in designing and implementing data-driven solutions to solve complex business problems. My expertise lies in leveraging machine learning techniques and statistical analysis to drive impactful business decisions. As a Senior Applied Data Scientist at Dunnhumby, I have been responsible for developing and implementing data-driven customer targeting strategies for various promotional campaigns to ensure appropriate customers are being served the correct engagement through personalized offers to satisfy the appropriate business objectives. I have also built a ROAS prediction model for offsite campaigns, achieving a model improvement of 9% for predicting the ROAS prior to a campaign. My experience using Pyspark, SQL, Python’s Pandas, and NumPy library for exploratory data analysis, data cleaning, and data wrangling has allowed me to effectively tackle complex data challenges. Before this, I also developed several machine learning models, including a cloud cost forecasting model, and a cloud cost recommendation engine using state-of-the-art ML techniques, which incorporated time series data for performance analysis and forecasting algorithms for cost optimization. My experience in information extraction using NLP libraries like NLTK and Spacy and querying and integrating SQL and NoSQL databases efficiently into the application has equipped me with the necessary skills to develop robust and scalable solutions. I am a driven and passionate data scientist with a strong track record of delivering impactful solutions for complex business challenges. I am always looking to expand my knowledge and skills and am excited to take on new challenges and opportunities in the data science field.

Shefali Kanyal

As a data scientist, my passion lies in designing and implementing data-driven solutions to solve co...
Delhi, Delhi, India

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Shefali Kanyal’s Email shefali.kanyal@ustglobal.com

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Shefali Kanyal’s Location Delhi, Delhi, India

Shefali Kanyal’s Current Industry Orange Business

Shefali Kanyal’s Prior Industry Dunnhumby | Ust

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Work Experience

Orange Business

Data Scientist

2023-12-01 00:00:00 - Present

Dunnhumby

Senior Applied Data Scientist

2021-11-01 00:00:00 - 2023-12-01 00:00:00

Ust

Senior Software Developer

2018-11-01 00:00:00 - 2021-11-01 00:00:00

Skills

No Skills Available

Languages

No Languages Available

FAQ About Shefali Kanyal

Shefali Kanyal is located at
Delhi, Delhi, India

Shefali Kanyal is a As a data scientist, my passion lies in designing and implementing data-driven solutions to solve complex business problems. My expertise lies in leveraging machine learning techniques and statistical analysis to drive impactful business decisions. As a Senior Applied Data Scientist at Dunnhumby, I have been responsible for developing and implementing data-driven customer targeting strategies for various promotional campaigns to ensure appropriate customers are being served the correct engagement through personalized offers to satisfy the appropriate business objectives. I have also built a ROAS prediction model for offsite campaigns, achieving a model improvement of 9% for predicting the ROAS prior to a campaign. My experience using Pyspark, SQL, Python’s Pandas, and NumPy library for exploratory data analysis, data cleaning, and data wrangling has allowed me to effectively tackle complex data challenges. Before this, I also developed several machine learning models, including a cloud cost forecasting model, and a cloud cost recommendation engine using state-of-the-art ML techniques, which incorporated time series data for performance analysis and forecasting algorithms for cost optimization. My experience in information extraction using NLP libraries like NLTK and Spacy and querying and integrating SQL and NoSQL databases efficiently into the application has equipped me with the necessary skills to develop robust and scalable solutions. I am a driven and passionate data scientist with a strong track record of delivering impactful solutions for complex business challenges. I am always looking to expand my knowledge and skills and am excited to take on new challenges and opportunities in the data science field.