Reshma Kotwani

FAQ About Reshma Kotwani

• What is Reshma Kotwani's address?

  Reshma Kotwani is located at
  Toronto, Ontario, Canada

• What is Reshma Kotwani's job title?

  Reshma Kotwani is a
  A seasoned professional in Strategy, Consulting & Technology, Reshma has years of skilled experience in diverse modules and areas of SAP. She has worked extensively in Customer Experience, Financial Accounting and Controlling module, Warehouse Management, Sales & Distribution, Human Capital Management, has knowledge of Transportation Management and Global Trade Services modules. She has experience in designing complex systems integrating with Commerce, C4C, Hybris billing, HANA EE and also has exposure to Kafka, Google Analytics as part of her solutions. As a Data engineer she implemented end to end pipelines for Data Ingestion, Model building and monitoring, Data consumption and Insights using AWS services. Managed provisioning of new AWS accounts and deployments using CloudFormation. She has built blueprints of Hub-and-spoke architecture in GCP suite. As a MLOps engineer she worked on migration of various ML pyspark/datarobot models from on-prem hadoop clusters to GCP using Dataproc and Oozie workflow. Reshma has strong analytical and interpersonal skills, good technical acumen, results driven, a fast learner with strong desire and commitment to expand knowledge. She takes complete ownership of the tasks undertaken and delivers results with utmost quality and minimum re-work. 𝗦𝗸𝗶𝗹𝗹 𝘀𝗲𝘁: Languages: SQL, Python, SAS Base, SAS Enterprise Miner, Hive, SAP-ABAP-BW, ABAP OOPS. Databases: Microsoft SQL Server, MongoDB, Oracle, SAP HANA, PostGreSQL. Data Visualization: Tableau, Matplotlib, Seaborn. Machine Learning Models: Regression (Linear, Multi-linear, non-linear), Decision Tree, KNN, SVM, Logistic Regression, Clustering (K-means, Hierarchical, Density based), Random Forest, XGBoost. Cloud: AWS, GCP, SAP C4C, IBM. Libraries/Packages/APIs: Numpy, Pandas, Scikit-learn, Pyplot, Pyspark, BeautifulSoup, Foursquare, Geocoding. Statistical Analysis: A/B testing, Hypothesis testing. AWS services: S3, Glue, Lambda, Step Functions, CloudFormation, CloudFront, CodeCommit, CodeBuild, CodePipeline, Redshift, SNS, Cognito, IAM, CloudFront. GCP services: GCS, Dataproc, Bigquery. Google

• What industry does Reshma Kotwani currently work in?

  Reshma Kotwani currently works in the
  Google

• What is Reshma Kotwani's area of expertise?

  Reshma Kotwani specializes in
  A seasoned professional in Strategy, Consulting & Technology, Reshma has years of skilled experience in diverse modules and areas of SAP. She has worked extensively in Customer Experience, Financial Accounting and Controlling module, Warehouse Management, Sales & Distribution, Human Capital Management, has knowledge of Transportation Management and Global Trade Services modules. She has experience in designing complex systems integrating with Commerce, C4C, Hybris billing, HANA EE and also has exposure to Kafka, Google Analytics as part of her solutions. As a Data engineer she implemented end to end pipelines for Data Ingestion, Model building and monitoring, Data consumption and Insights using AWS services. Managed provisioning of new AWS accounts and deployments using CloudFormation. She has built blueprints of Hub-and-spoke architecture in GCP suite. As a MLOps engineer she worked on migration of various ML pyspark/datarobot models from on-prem hadoop clusters to GCP using Dataproc and Oozie workflow. Reshma has strong analytical and interpersonal skills, good technical acumen, results driven, a fast learner with strong desire and commitment to expand knowledge. She takes complete ownership of the tasks undertaken and delivers results with utmost quality and minimum re-work. 𝗦𝗸𝗶𝗹𝗹 𝘀𝗲𝘁: Languages: SQL, Python, SAS Base, SAS Enterprise Miner, Hive, SAP-ABAP-BW, ABAP OOPS. Databases: Microsoft SQL Server, MongoDB, Oracle, SAP HANA, PostGreSQL. Data Visualization: Tableau, Matplotlib, Seaborn. Machine Learning Models: Regression (Linear, Multi-linear, non-linear), Decision Tree, KNN, SVM, Logistic Regression, Clustering (K-means, Hierarchical, Density based), Random Forest, XGBoost. Cloud: AWS, GCP, SAP C4C, IBM. Libraries/Packages/APIs: Numpy, Pandas, Scikit-learn, Pyplot, Pyspark, BeautifulSoup, Foursquare, Geocoding. Statistical Analysis: A/B testing, Hypothesis testing. AWS services: S3, Glue, Lambda, Step Functions, CloudFormation, CloudFront, CodeCommit, CodeBuild, CodePipeline, Redshift, SNS, Cognito, IAM, CloudFront. GCP services: GCS, Dataproc, Bigquery.

• Which languages does Reshma Kotwani speak? 

  Reshma Kotwani speaks the following languages:
  No languages available.

• Which industries has Reshma Kotwani previously worked in?   

  Reshma Kotwani has prior experience in the following industries:
  Health And Well Being , Accenture , Metropolitan Utilities District , Tata Consultancy Services , Accenture

• What is Reshma Kotwani’s work experience?  

  Reshma Kotwani has the following professional experience:
  Google , Health And Well Being , Accenture , Metropolitan Utilities District , Tata Consultancy Services , Accenture .

• How can I find Reshma Kotwani on LinkedIn?  

  You can view Reshma Kotwani’s
  LinkedIn profile at LinkedIn URL.

• What are Reshma Kotwani’s work email addresses?  

  Reshma Kotwani’s work email addresses are
  [email protected] .

• What company does Reshma Kotwani work for?  

  Reshma Kotwani works at
  Google