Abhishek Singh

FAQ About Abhishek Singh

• What is Abhishek Singh's address?

  Abhishek Singh is located at
  Chicago, Chicago, United States

• What is Abhishek Singh's job title?

  Abhishek Singh is a
  Driving Data Innovation at Staples In my role as a Data Science Leader at Staples, I spearhead the creation and execution of sophisticated models and strategies that fuel personalization and marketing growth initiatives. My focus is on steering a talented team towards unlocking actionable insights, which in turn drive a tangible, positive impact across the company. Together, we're not just analyzing data; we're crafting narratives that shape the customer experience and foster business expansion. Leading the Charge in Financial Innovation at Nova Credit As the Lead Data Scientist at Nova Credit, I am at the forefront of bridging advanced research and practical application. My role is centered around innovating cashflow underwriting models and pioneering efforts to integrate international credit histories for newcomers to the USA. Strategic thinker with proven leadership skills and ability to effectively communicate analytical results 8 yrs+ experience in building, validating and deploying predictive models to solve challenging real-world business problems and provide data-driven solutions. Proficient in exploring large-scaled structured/unstructured data to derive and present valuable insights using advanced data mining and visualization techniques. Excelled at collaborating with people from different industries to understand their needs and prototyping analytical ideas to solve complex problems. Completed several successful interdisciplinary research projects by adopting creative and cutting-edge data science technologies Technical Skills: Programming languages/Tools: Python, R, R-Shiny, SnowFlake, SQL, Apache SPARK, TensorFlow, Excel, Tableau, Alteryx Big Data tools: AWS Sagemaker, Hadoop, Hive, Pyspark, DataBricks, Dremio Statistical methods: Regression, Sampling, Hypothesis Testing, Population segmentation Machine Learning Algorithms: Linear and Logistic Regression, Decision Tree, Random Forest, Boosting - XGB, GBM, SVM, Naive Bayes, KNN, Neural Networks, CNN, RNN Key Strengths: Machine Learning, Data Analysis, Data Visualization, Statistical modeling and Inferences, Programming, Databases, Leadership Skills, Customer Interaction, Analytical Skills Certification: Tableau Destop Qualified Associate. SAS Certified Base Programmer for SAS 9. Feel free to contact at: [email protected] (or) (+1) (312)-358-2204 Staples

• What industry does Abhishek Singh currently work in?

  Abhishek Singh currently works in the
  Staples

• What is Abhishek Singh's area of expertise?

  Abhishek Singh specializes in
  Driving Data Innovation at Staples In my role as a Data Science Leader at Staples, I spearhead the creation and execution of sophisticated models and strategies that fuel personalization and marketing growth initiatives. My focus is on steering a talented team towards unlocking actionable insights, which in turn drive a tangible, positive impact across the company. Together, we're not just analyzing data; we're crafting narratives that shape the customer experience and foster business expansion. Leading the Charge in Financial Innovation at Nova Credit As the Lead Data Scientist at Nova Credit, I am at the forefront of bridging advanced research and practical application. My role is centered around innovating cashflow underwriting models and pioneering efforts to integrate international credit histories for newcomers to the USA. Strategic thinker with proven leadership skills and ability to effectively communicate analytical results 8 yrs+ experience in building, validating and deploying predictive models to solve challenging real-world business problems and provide data-driven solutions. Proficient in exploring large-scaled structured/unstructured data to derive and present valuable insights using advanced data mining and visualization techniques. Excelled at collaborating with people from different industries to understand their needs and prototyping analytical ideas to solve complex problems. Completed several successful interdisciplinary research projects by adopting creative and cutting-edge data science technologies Technical Skills: Programming languages/Tools: Python, R, R-Shiny, SnowFlake, SQL, Apache SPARK, TensorFlow, Excel, Tableau, Alteryx Big Data tools: AWS Sagemaker, Hadoop, Hive, Pyspark, DataBricks, Dremio Statistical methods: Regression, Sampling, Hypothesis Testing, Population segmentation Machine Learning Algorithms: Linear and Logistic Regression, Decision Tree, Random Forest, Boosting - XGB, GBM, SVM, Naive Bayes, KNN, Neural Networks, CNN, RNN Key Strengths: Machine Learning, Data Analysis, Data Visualization, Statistical modeling and Inferences, Programming, Databases, Leadership Skills, Customer Interaction, Analytical Skills Certification: Tableau Destop Qualified Associate. SAS Certified Base Programmer for SAS 9. Feel free to contact at: [email protected] (or) (+1) (312)-358-2204

• Which languages does Abhishek Singh speak? 

  Abhishek Singh speaks the following languages:
  No languages available.

• Which industries has Abhishek Singh previously worked in?   

  Abhishek Singh has prior experience in the following industries:
  Nova Credit , Discover Financial Services , Transunion , Transunion , 4c Health Solutions , University Of Illinois At Chicago , Remedy Analytics , Cognizant , Schneider Electric

• What is Abhishek Singh’s work experience?  

  Abhishek Singh has the following professional experience:
  Staples , Nova Credit , Discover Financial Services , Transunion , Transunion , 4c Health Solutions , University Of Illinois At Chicago , Remedy Analytics , Cognizant , Schneider Electric .

• How can I find Abhishek Singh on LinkedIn?  

  You can view Abhishek Singh’s
  LinkedIn profile at LinkedIn URL.

• What are Abhishek Singh’s work email addresses?  

  Abhishek Singh’s work email addresses are
  [email protected] .

• What company does Abhishek Singh work for?  

  Abhishek Singh works at
  Staples