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Pallavi Sahoo

Pallavi Sahoo

Data Scientist

Services provided: Snowflake , Customer Onboarding , Databricks , Pyspark , Analysis / Data / Strategy / Plans , Data Analytics , Lead Generation & Customer Acquisition , SQL Server , AWS Lambda , Data Science & Analytics , Customer Journey , Data analysis , Segment , Database Developers , Big Data , Data Visualization Developers , Customer Loyalty/ Retention , AWS

Retail

Staines, Spelthorne District, Surrey
£90 / hour
Approximate rate

Social

About Pallavi Sahoo:

I have 16 years of data analytics and data science experience, mainly in marketing, financial services. I love learning about various business problems and finding the easiest solution to the problem. I believe, it is not necessary to develop complex models for each problem and sometimes, simple analysis, data visualization is more helpful. 

Experience

  • Lead a dynamic team who developed recommendation engines model for a retailer, to target the right customer with right product, resulting in upsell and improving revenue by 4%. 
  • Transformed data b making recommendations accesible to the auction business daily, rather than weekly basis, has resulted in increasing the revenue by 5%. 
  • Successfully migrated existing ML models from SAS and moving those to cloud, resulted in reducing the proprietary licence cost, reduce the dependency on the niche technical skills of proprietary software, rebuilding those models to serve the business objectives.
  • Spearheaded Python application development to validate the photo from selfie and id and reading the text from the id, resulted in reduction in execution time of image capture by 70% and reducing the customer fall-out rate 50%, reducing the cost of processing by 80%.
  • Automated the manual process to reduce manual processing time by 80% for financial services client. 
  • Optimised the credit underwriting process by finding opportunities from existing declined transactions to improve the acceptance rates and increase the revenue by £10M.
  • Developed ML model for detecting the probability of an ATM to have fraudulent transaction in 24 hours which helped in reducing cross border ATM fraud by 15%.

Education

Bachelor of Mathematics (B.Sc.)                       

Master of Computer Applications (MCA) 

AWS machine learning certification

Databricks machine learning certification

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