Shefali Kanyal

Data Scientist

Delhi, India7 yrs 4 mos experience
Highly StableAI Enabled

Key Highlights

  • Achieved 95% accuracy in ML/LLM-powered pipelines.
  • Boosted customer retention by 10% through analytics.
  • Developed a cloud cost forecasting model with 96% accuracy.
Stackforce AI infers this person is a Data Science and AI expert with a focus on customer analytics and machine learning solutions.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Data ScienceSoftware Development

Other Skills

AIAPI IntegrationAnalytical SkillsAnomaly DetectionBackend DevelopmentCC++Customer AnalyticsCustomer ExperienceData AnalyticsData ProtectionData QualityDeep LearningDockerFlask

About

I turn complex data into solutions that make a measurable difference, from boosting customer loyalty and predicting marketing ROI to improving data quality with cutting-edge AI. My career blends deep technical expertise with a relentless curiosity for what’s next in data science and AI. I’ve always been fascinated by how data can reveal patterns we didn’t know existed - patterns that can transform decisions, experiences, and entire businesses. Over the years, I’ve turned that fascination into a career, building solutions that merge technical depth with measurable business impact. At Orange Business, I’ve led projects that blend machine learning with large language models to solve data quality, customer experience, and privacy challenges. From designing and deploying ML/LLM-powered pipelines that deliver up to 95% accuracy, to developing NLP systems that turned thousands of customer tweets into targeted fixes, reducing emergency-call complaints by 35%, I’ve seen how the right use of AI can create tangible change. I also pioneered RAG-based log anomaly detection and implemented NER-driven anonymization to strengthen data protection at scale. Before that, at Dunnhumby, I worked on large-scale customer analytics - designing personalised offer strategies that boosted retention by 10% and loyalty by 17%. I built marketing analytics solutions, improved ROAS prediction accuracy by 9%, and handled multi-terabyte datasets in Hadoop using PySpark to refine targeting strategies. Earlier in my career, I developed a cloud cost forecasting model with 96% accuracy, integrated over a hundred APIs, and honed my skills in backend development and large-scale system integration. Across every role, my drive has remained the same - to explore new technologies, push the boundaries of what’s possible with data, and translate innovation into results that matter. I stay actively engaged with emerging trends in AI, NLP, and big data, continuously experimenting, learning, and sharing my insights.

Experience

Orange business

Data Scientist

Dec 2023Present · 2 yrs 3 mos

Machine LearningLarge Language ModelsData QualityCustomer ExperiencePrivacy ChallengesNLP+2

Dunnhumby

Senior Applied Data Scientist

Nov 2021Dec 2023 · 2 yrs 1 mo

  • The day-to-day work involves designing 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
Customer AnalyticsPersonalized Offer StrategiesMarketing AnalyticsHadoopPySparkData Science+1

Ust

Senior Software Developer

Nov 2018Nov 2021 · 3 yrs · India

Backend DevelopmentSystem IntegrationAPI IntegrationSoftware Development

Education

The University of Texas at Austin

Master of Science - MS — Data Science

Aug 2022Dec 2024

Birla Institute of Applied Sciences

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2014Jan 2018

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