Shefali Kanyal — Data Scientist
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.
Stackforce AI infers this person is a Data Science and AI expert with a focus on customer analytics and machine learning solutions.
Location: Delhi, India
Experience: 7 yrs 4 mos
Skills
- Machine Learning
- Artificial Intelligence (ai)
- Data Science
- Software Development
Career 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.
Work Experience
Orange Business
Data Scientist (2 yrs 3 mos)
dunnhumby
Senior Applied Data Scientist (2 yrs 1 mo)
UST
Senior Software Developer (3 yrs)
Education
Master of Science - MS at The University of Texas at Austin
Bachelor of Technology (B.Tech.) at Birla Institute of Applied Sciences