update resume

lib/resume.ts

@@ -158,43 +158,50 @@ export const resume: JsonResume = {
       keywords: [
         "System Design",
         "Data Pipelines",
-        "Google Cloud Platform",
-        "Microsoft Azure",
+        // "Google Cloud Platform",
+        // "Microsoft Azure",
         "Amazon Web Services",
         "Serverless",
         "Microservices",
         "MLOps",
         "DataOps",
-        "Docker/Kubernetes",
+        "Docker",
+        "Kubernetes",
         "AirFlow",
       ],
     },
     {
       name: "Data Development",
       keywords: [
+        "Pandas",
+        "DuckDB",
+        "dbt",
+        "Redshift",
+        "Snowflake",
+        // "Polars",
+        "Spark",
+        "Kafka",
+        "AWS Glue",
+        "AWS LakeFormation",
         "PostgresSQL",
         "ElasticSearch",
         "Redis",
-        "Redshift",
-        "Snowflake",
         "Neo4j",
         "Snowplow",
-        "Spark",
-        "dbt",
       ],
     },
     {
       name: "Full stack Development",
       keywords: [
         "python",
-        "Natural Language Processing",
         "FastAPI",
+        "Natural Language Processing",
         "scikit-learn",
         "SpaCy",
         "networkX",
         "PyTorch",
-        "Transformers",
         "Hugging Face",
+        "transformers",
         "MLFlow",
         "argilla",
         "langchain",
@@ -208,11 +215,12 @@ export const resume: JsonResume = {
       name: "Delivery",
       keywords: [
         "Agile",
+        "Scrum",
         "Technical Project Management",
         "Delivery Roadmaps",
-        "Financial Budgets",
+        "Design Thinking",
+        // "Financial Budgets",
         "Stakeholder Management",
-        "Delivery Reporting",
         "Objectives and Key Results",
       ],
     },
@@ -318,7 +326,7 @@ export const resume: JsonResume = {
       // Worked with Isabelle Guyon's research group
       // scalable hiring personality screening competitor to HireView
       summary: `Developed a scalable personality screening tool for talent acquisition managers using 
-      deep learning Computer Vision models and the resources of a worldwide deep-tech incubator for early-career founders.`,
+      deep learning Computer Vision and the resources of a worldwide deep-tech incubator for early-career founders.`,
       highlights: [],
     },
     {
@@ -331,7 +339,7 @@ export const resume: JsonResume = {
       url: "https://www.bayesholding.com/",
       startDate: "2016-08-31",
       endDate: "2018-03-31",
-      summary: `Built and maintained a real-time deep-learning recommendations pipeline for 1 million daily users of a mobile app.`,
+      summary: `Built and maintained a real-time deep-learning recommendations pipeline for 1 million daily users of a mobile app using Spark on AWS EMR and tensorflow.`,
       highlights: [],
     },
   ].concat(
@@ -348,7 +356,7 @@ export const resume: JsonResume = {
             position: "Data Science Intern",
             startDate: "2016-01-31",
             summary:
-              "Researched applications of NLP and web crawlers to the economy of online earned media for Automotive and Cosmetics brands.",
+              "Researched applications of NLP and web crawlers to the econometrics of online earned media for Automotive and Cosmetics brands.",
             url: "https://ekimetrics.com/",
           },
           {