Data and Analytics specialist with 8+ yrs in analytics solutions. I have held roles of Senior Data Engineer, Lead and Senior Data Scientist, Data and Analytics Specialist, and Petroleum Engineer. PM Skills: I like to deliver well designed data and analytics to consumers with the philosophy of JIT production. I ask these questions: - User: Who needs the data? - Problem: Why do they need it? - Strategy: How can we satisfy these requirements? -Output: What does success look like? Technical skills: - languages: python, R, sql, c++ , bash - IDE: VScode, spyder, Rstudio, Jupyterlab - administration: linux (basic), hadoop (basic) - text editor: vim, notepd++, sublime - databases: oracle db, sql server, Vertica - db clients: oracle sql developer, sql server management studio, ibm DBViewer - big data: hadoop, hive, spark, cloudera data platform, aws emr (basic), gcp dataproc (basic) - data analysis: jupyter notebook, pandas - ETL:pymssql, sqlalchemy, pandas, pyspark, beeline (hive), boto3, aws glue (familiar), azure data factory(familiar) - machine learing: aws sagemaker, azure autoML, sklearn, keras-tensorflow, xgboost, forecasting and many time series libraries, anomaly detection etc etc - mlops: pickle, mlflow - orchestration: apache nifi, airflow - Devops tools: github, jenkins, urbancode - SRE: elastic stack, Dynatrace - project management: waterfall, agile, jira - dashboard: Tableau, power bi - ITSM change and incident management: servicenow - Cloud: azure, aws,oracle cloud, gcp