| Field | Value |
|---|---|
X-API-KEY
|
Your API Key. |
X-USER-EMAIL
|
Your HrFlow\.ai account's email. |
job\_key and the job\_reference cannot be null at the same time in the Request Parameters. The same for the profile\_key and profile\_reference .
# OpenAPI definition
```json
{
"openapi": "3.1.0",
"info": {
"title": "website-api",
"version": "2.3"
},
"servers": [
{
"url": "https://api.hrflow.ai/v1"
}
],
"components": {
"securitySchemes": {
"sec0": {
"type": "apiKey",
"in": "header",
"name": "X-API-KEY",
"x-default": ""
},
"sec1": {
"type": "apiKey",
"in": "header",
"name": "X-USER-EMAIL"
}
}
},
"security": [
{
"sec0": [],
"sec1": []
}
],
"paths": {
"/tracking": {
"post": {
"summary": "⭐ Track a Profile or a Job",
"description": "This endpoint allows you to track a Profile (resp. a Job) for Job (resp. a Profile) as a recruiter (resp. a candidate) with a specific action",
"operationId": "post-tracking",
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"required": [
"action",
"role",
"board_key",
"source_key"
],
"properties": {
"action": {
"type": "string",
"description": "The 'action' refers to a unique identifier for a profile or job stage. This can be a specific stage ID within a CRM, ATS, or Job site. Examples of such stages include \"view,\" \"apply,\" \"hire,\" or any other stage relevant to your system."
},
"role": {
"type": "string",
"description": "Role of the user rating the job (role: recruiter, candidate, employee, manager)."
},
"board_key": {
"type": "string",
"description": "The key of Board attached to the given Job."
},
"job_key": {
"type": "string",
"description": "The Job's unique identifier."
},
"job_reference": {
"type": "string",
"description": "The Job reference chosen by the customer or an external system. If you use the job_key you do not need to specify the job_reference and vice versa."
},
"source_key": {
"type": "string",
"description": "The key of Source attached to the given Profile."
},
"profile_key": {
"type": "string",
"description": "The Profile's unique identifier."
},
"profile_reference": {
"type": "string",
"description": "The Profile reference chosen by the customer or an external system. If you use the profile_key you do not need to specify the profile_reference and vice versa."
},
"author_email": {
"type": "string",
"description": "Email of the HrFlow.ai user who rated the profile for the job."
},
"comment": {
"type": "string",
"description": "Comment explaining the reason behind the score."
},
"created_at": {
"type": "string",
"description": "ISO Date Time Format yyyy-MM-dd'T'HH:mm:ss.SSSXXX — for example, \"2000-10-31T01:30:00.000-05:00\". It associates a creation date to the profile (ie: this can be for example the original date of the application of the profile). If not provided the creation date will be now by default."
}
}
}
}
}
},
"responses": {
"200": {
"description": "200",
"content": {
"application/json": {
"examples": {
"Result": {
"value": "{\n \"code\": 200,\n \"message\": \"Profiles upskilling\",\n \"data\": [{\n \"content_uid\": \"04e70035fd65a9ae60558ef4dadfe39733df0946\",\n \"driving_license\": null,\n \"educations\": [\n {\n \"content_uid\": \"4d6654cd37964d0983908f0e9261bbef\",\n \"date_end\": {\n \"iso8601\": \"2019-01-01T00:00:00\",\n \"text\": \"2019\",\n \"timestamp\": 1546300800\n },\n \"date_start\": {\n \"iso8601\": \"2018-01-01T00:00:00\",\n \"text\": \"2018\",\n \"timestamp\": 1514764800\n },\n \"description\": \"-\\n Msc in Mathematics, Machine learning and Computer vision\\n Ecole Normale Superieure , \\n Major courses : Reinforcement learning , computer vision ,\\n Natural language processing\",\n \"desription_ents\":\n [{'start': 0, 'end': 1, 'score': '0.03846'},\n {'start': 1, 'end': 2, 'score': '0.03846'},\n {'start': 3, 'end': 6, 'score': '0.03846'},\n {'start': 7, 'end': 9, 'score': '0.03846'},\n {'start': 10, 'end': 21, 'score': '0.03846'},\n {'start': 21, 'end': 22, 'score': '0.03846'},\n {'start': 23, 'end': 39, 'score': '0.03846'},\n {'start': 40, 'end': 43, 'score': '0.03846'},\n {'start': 44, 'end': 59, 'score': '0.03846'},\n {'start': 59, 'end': 60, 'score': '0.03846'},\n {'start': 61, 'end': 74, 'score': '0.03846'},\n {'start': 75, 'end': 85, 'score': '0.03846'},\n {'start': 86, 'end': 87, 'score': '0.03846'},\n {'start': 88, 'end': 89, 'score': '0.03846'},\n {'start': 90, 'end': 95, 'score': '0.03846'},\n {'start': 96, 'end': 103, 'score': '0.03846'},\n {'start': 104, 'end': 105, 'score': '0.03846'},\n {'start': 106, 'end': 119, 'score': '0.03846'},\n {'start': 120, 'end': 128, 'score': '0.03846'},\n {'start': 129, 'end': 130, 'score': '0.03846'},\n {'start': 131, 'end': 146, 'score': '0.03846'},\n {'start': 147, 'end': 148, 'score': '0.03846'},\n {'start': 148, 'end': 149, 'score': '0.03846'},\n {'start': 150, 'end': 157, 'score': '0.03846'},\n {'start': 158, 'end': 166, 'score': '0.03846'},\n {'start': 167, 'end': 177, 'score': '0.03846'}],\n \t\"location\": {\n \"geojson\": {\n \"house\": null,\n \"category\": null,\n \"near\": null,\n \"unit\": null,\n \"level\": null,\n \"staircase\": null,\n \"entrance\": null,\n \"po_box\": null,\n \"island\": null,\n \"country_region\": null,\n \"world_region\": null,\n \"text\": \"Rue de Paris, 91400 Saclay, France\",\n \"house_number\": null,\n \"road\": \"Rue de Paris\",\n \"postcode\": \"91400\",\n \"suburb\": null,\n \"city_district\": null,\n \"city\": \"Saclay\",\n \"state_district\": \"Essonne\",\n \"state\": \"Ile-de-France\",\n \"country\": \"FRA\"\n },\n \"lat\": 48.737380000000002,\n \"lng\": 2.1785600000000001,\n \"text\": \"Paris Saclay\"\n },\n \"title\": \"Msc in Mathematics, Machine learning and Computer vision\",\n \t\t\"title_ents\":[\n \t{'start': 0, 'end': 3, 'score': '0.14285'},\n \t{'start': 4, 'end': 6, 'score': '0.14285'},\n \t{'start': 7, 'end': 18, 'score': '0.14285'},\n \t{'start': 18, 'end': 19, 'score': '0.14285'},\n \t{'start': 20, 'end': 36, 'score': '0.14285'},\n {'start': 37, 'end': 40, 'score': '0.14285'},\n {'start': 41, 'end': 56, 'score': '0.14285'}\n\t\t\t\t\t\t\t\t],\n \"skills\": [],\n \"courses\": [\n {\n \"name\": \"reinforcement learning\",\n \"value\": null\n },\n {\n \"name\": \"computer vision\",\n \"value\": null\n }\n ],\n \"certifications\": [],\n \"tasks\": [],\n \"school\": \"Ecole Normale Superieure\",\n \"school_ents\":\n \t[\t{'start': 0, 'end': 13, 'score': '0.5'},\n \t\t{'start': 14, 'end': 24, 'score': '0.5'}],\n \"score\": 0.7423124\n \"logo\": null\n },\n {\n \"content_uid\": \"b38e60ac9fcd4ac28a05e72cbb9cc785\",\n \"date_end\": {\n \"iso8601\": \"2019-01-01T00:00:00\",\n \"text\": \"2019\",\n \"timestamp\": 1546300800\n },\n \"date_start\": {\n \"iso8601\": \"2016-01-01T00:00:00\",\n \"text\": \"2016\",\n \"timestamp\": 1451606400\n },\n \"description\": \"-\\n Msc in Applied Mathematics and Data Science\\n Ecole Centrale Paris\\n Major courses : Convex optimisation , Stochastic calculus , Advanced statistics ,\\n Deep learning\",\n \"description_ents\":[{'start': 0, 'end': 1, 'score': '0.03703'},\n {'start': 1, 'end': 2, 'score': '0.03703'},\n {'start': 3, 'end': 6, 'score': '0.03703'},\n {'start': 7, 'end': 9, 'score': '0.03703'},\n {'start': 10, 'end': 17, 'score': '0.03703'},\n {'start': 18, 'end': 29, 'score': '0.03703'},\n {'start': 30, 'end': 33, 'score': '0.03703'},\n {'start': 34, 'end': 46, 'score': '0.03703'},\n {'start': 46, 'end': 47, 'score': '0.03703'},\n {'start': 48, 'end': 53, 'score': '0.03703'},\n {'start': 54, 'end': 62, 'score': '0.03703'},\n {'start': 63, 'end': 68, 'score': '0.03703'},\n {'start': 68, 'end': 69, 'score': '0.03703'},\n {'start': 70, 'end': 75, 'score': '0.03703'},\n {'start': 76, 'end': 83, 'score': '0.03703'},\n {'start': 84, 'end': 85, 'score': '0.03703'},\n {'start': 86, 'end': 92, 'score': '0.03703'},\n {'start': 93, 'end': 105, 'score': '0.03703'},\n {'start': 106, 'end': 107, 'score': '0.03703'},\n {'start': 108, 'end': 127, 'score': '0.03703'},\n {'start': 128, 'end': 129, 'score': '0.03703'},\n {'start': 130, 'end': 138, 'score': '0.03703'},\n {'start': 139, 'end': 149, 'score': '0.03703'},\n {'start': 150, 'end': 151, 'score': '0.03703'},\n {'start': 151, 'end': 152, 'score': '0.03703'},\n {'start': 153, 'end': 157, 'score': '0.03703'},\n {'start': 158, 'end': 166, 'score': '0.03703'}],\n \t\"location\": {\n \"geojson\": {\n \"category\": null,\n \"city\": null,\n \"city_district\": null,\n \"country\": null,\n \"country_region\": null,\n \"entrance\": null,\n \"house\": null,\n \"house_number\": null,\n \"island\": null,\n \"level\": null,\n \"near\": null,\n \"po_box\": null,\n \"postcode\": null,\n \"road\": null,\n \"staircase\": null,\n \"state\": null,\n \"state_district\": null,\n \"suburb\": null,\n \"unit\": null,\n \"world_region\": null\n },\n \"lat\": null,\n \"lng\": null,\n \"text\": null\n },\n \"title\": \"Msc in Applied Mathematics and Data Science\",\n \"title_ents\":[{'start': 0, 'end': 3, 'score': '0.16666'},\n {'start': 4, 'end': 6, 'score': '0.16666'},\n {'start': 7, 'end': 14, 'score': '0.16666'},\n {'start': 15, 'end': 26, 'score': '0.16666'},\n {'start': 27, 'end': 30, 'score': '0.16666'},\n {'start': 31, 'end': 43, 'score': '0.16666'}],\n \"skills\": [\n {\n \"name\": \"deep learning\",\n \"type\": \"hard\",\n \"value\": null\n }\n ],\n \"courses\": [\n {\n \"name\": \"convex optimisation\",\n \"value\": null\n },\n {\n \"name\": \"stochastic calculus\",\n \"value\": null\n },\n {\n \"name\": \"advanced statistics\",\n \"value\": null\n }\n ],\n \"certifications\": [],\n \"tasks\": [],\n \"school\": \"Ecole Centrale Paris\",\n \"school_ents\":[{'start': 0, 'end': 5, 'score': '0.33333'},\n {'start': 6, 'end': 14, 'score': '0.33333'},\n {'start': 15, 'end': 20, 'score': '0.33333'}],\n \"logo\": null\n }\n ],\n \"educations_duration\": 3.0027397260273974,\n \"emails\": [\n \"moustapha.ebnou@riminder.net\"\n ],\n \"experiences\": [\n {\n \"content_uid\": \"571f2f0150ef42d0a241e3a8d0c65e08\",\n \"date_end\": {\n \"iso8601\": \"2019-10-01T00:00:00\",\n \"text\": \"Oct 2019\",\n \"timestamp\": 1569888000\n },\n \"date_start\": {\n \"iso8601\": \"2019-05-01T00:00:00\",\n \"text\": \"May 2019\",\n \"timestamp\": 1556668800\n },\n \"description\": \"-\\nFull Time Data Science Researcher at Riminder ,\",\n \"description_ents\":[{'start': 0, 'end': 1, 'score': '0.11111'},\n {'start': 1, 'end': 2, 'score': '0.11111'},\n {'start': 2, 'end': 6, 'score': '0.11111'},\n {'start': 7, 'end': 11, 'score': '0.11111'},\n {'start': 12, 'end': 24, 'score': '0.11111'},\n {'start': 25, 'end': 35, 'score': '0.11111'},\n {'start': 36, 'end': 38, 'score': '0.11111'},\n {'start': 39, 'end': 47, 'score': '0.11111'},\n {'start': 48, 'end': 49, 'score': '0.11111'}],\n \"location\": {\n \"geojson\": {\n \"house\": null,\n \"category\": null,\n \"near\": null,\n \"unit\": null,\n \"level\": null,\n \"staircase\": null,\n \"entrance\": null,\n \"po_box\": null,\n \"island\": null,\n \"country_region\": null,\n \"world_region\": null,\n \"text\": \"Paris, Ile-de-France, France\",\n \"house_number\": null,\n \"road\": null,\n \"postcode\": \"75001\",\n \"suburb\": null,\n \"city_district\": null,\n \"city\": \"Paris\",\n \"state_district\": \"Paris\",\n \"state\": \"Ile-de-France\",\n \"country\": \"FRA\"\n },\n \"lat\": 48.85718,\n \"lng\": 2.3414100000000002,\n \"text\": \"Paris\"\n },\n \"title\": \"Full Time Data Science Researcher\",\n \"title_ents\": [{'start': 0, 'end': 4, 'score': '0.25'},\n {'start': 5, 'end': 9, 'score': '0.25'},\n {'start': 10, 'end': 22, 'score': '0.25'},\n {'start': 23, 'end': 33, 'score': '0.25'}],\n \"skills\": [],\n \"courses\": [],\n \"certifications\": [],\n \"tasks\": [],\n \"company\": \"Riminder\",\n \"company_ents\": [{'start': 0, 'end': 8, 'score': '1.0'}],\n \"logo\": null\n },\n {\n \"content_uid\": \"3788def4ec264cc9822a7cee1e57117d\",\n \"date_end\": {\n \"iso8601\": \"2019-10-01T00:00:00\",\n \"text\": \"Oct 2019\",\n \"timestamp\": 1569888000\n },\n \"date_start\": {\n \"iso8601\": \"2019-05-01T00:00:00\",\n \"text\": \"May 2019\",\n \"timestamp\": 1556668800\n },\n \"description\": \"-\\n Data Science Intern at Fortia Financial Solutions , \\n Multilingual Sentence Classification\\n\\n Research internship on :\",\n \"description_ents\":[{'start': 0, 'end': 1, 'score': '0.05555'},\n {'start': 1, 'end': 2, 'score': '0.05555'},\n {'start': 3, 'end': 15, 'score': '0.05555'},\n {'start': 16, 'end': 22, 'score': '0.05555'},\n {'start': 23, 'end': 25, 'score': '0.05555'},\n {'start': 26, 'end': 32, 'score': '0.05555'},\n {'start': 33, 'end': 42, 'score': '0.05555'},\n {'start': 43, 'end': 52, 'score': '0.05555'},\n {'start': 53, 'end': 54, 'score': '0.05555'},\n {'start': 55, 'end': 56, 'score': '0.05555'},\n {'start': 57, 'end': 69, 'score': '0.05555'},\n {'start': 70, 'end': 78, 'score': '0.05555'},\n {'start': 79, 'end': 93, 'score': '0.05555'},\n {'start': 93, 'end': 94, 'score': '0.05555'},\n {'start': 94, 'end': 95, 'score': '0.05555'},\n {'start': 96, 'end': 115, 'score': '0.05555'},\n {'start': 116, 'end': 118, 'score': '0.05555'},\n {'start': 119, 'end': 120, 'score': '0.05555'}],\n \"location\": {\n \"geojson\": {\n \"house\": null,\n \"category\": null,\n \"near\": null,\n \"unit\": null,\n \"level\": null,\n \"staircase\": null,\n \"entrance\": null,\n \"po_box\": null,\n \"island\": null,\n \"country_region\": null,\n \"world_region\": null,\n \"text\": \"Paris, Ile-de-France, France\",\n \"house_number\": null,\n \"road\": null,\n \"postcode\": \"75001\",\n \"suburb\": null,\n \"city_district\": null,\n \"city\": \"Paris\",\n \"state_district\": \"Paris\",\n \"state\": \"Ile-de-France\",\n \"country\": \"FRA\"\n },\n \"lat\": 48.85718,\n \"lng\": 2.3414100000000002,\n \"text\": \"Paris\"\n },\n \"title\": \"Data Science Intern\",\n \"title_ents\": [{'start': 0, 'end': 12, 'score': '0.5'},\n {'start': 13, 'end': 19, 'score': '0.5'}],\n \"skills\": [],\n \"courses\": [],\n \"certifications\": [],\n \"tasks\": [],\n \"company\": \"Fortia Financial Solutions\",\n \"company_ents\": [{'start': 0, 'end': 6, 'score': '0.33333'},\n {'start': 7, 'end': 16, 'score': '0.33333'},\n {'start': 17, 'end': 26, 'score': '0.33333'}],\n \"logo\": null\n },\n {\n \"content_uid\": \"1af66ef6c2004434bea53dbfd921d1e5\",\n \"date_end\": {\n \"iso8601\": \"2019-03-01T00:00:00\",\n \"text\": \"Mar 2019\",\n \"timestamp\": 1551398400\n },\n \"date_start\": {\n \"iso8601\": \"2018-09-01T00:00:00\",\n \"text\": \"Sep 2018\",\n \"timestamp\": 1535760000\n },\n \"description\": \"-\\nPart time data scientist at Data and AI Lab , BNP PARIBAS , \\n Generative Adversarial Networks ( GAN ) with time series data\",\n \"description_ents\": [{'start': 0, 'end': 1, 'score': '0.04347'},\n {'start': 1, 'end': 2, 'score': '0.04347'},\n {'start': 2, 'end': 11, 'score': '0.04347'},\n {'start': 12, 'end': 26, 'score': '0.04347'},\n {'start': 27, 'end': 29, 'score': '0.04347'},\n {'start': 30, 'end': 34, 'score': '0.04347'},\n {'start': 35, 'end': 38, 'score': '0.04347'},\n {'start': 39, 'end': 41, 'score': '0.04347'},\n {'start': 42, 'end': 45, 'score': '0.04347'},\n {'start': 46, 'end': 47, 'score': '0.04347'},\n {'start': 48, 'end': 59, 'score': '0.04347'},\n {'start': 60, 'end': 61, 'score': '0.04347'},\n {'start': 62, 'end': 63, 'score': '0.04347'},\n {'start': 64, 'end': 74, 'score': '0.04347'},\n {'start': 75, 'end': 86, 'score': '0.04347'},\n {'start': 87, 'end': 95, 'score': '0.04347'},\n {'start': 96, 'end': 97, 'score': '0.04347'},\n {'start': 98, 'end': 101, 'score': '0.04347'},\n {'start': 102, 'end': 103, 'score': '0.04347'},\n {'start': 104, 'end': 108, 'score': '0.04347'},\n {'start': 109, 'end': 113, 'score': '0.04347'},\n {'start': 114, 'end': 120, 'score': '0.04347'},\n {'start': 121, 'end': 125, 'score': '0.04347'}],\n \"location\": {\n \"geojson\": {\n \"house\": null,\n \"category\": null,\n \"near\": null,\n \"unit\": null,\n \"level\": null,\n \"staircase\": null,\n \"entrance\": null,\n \"po_box\": null,\n \"island\": null,\n \"country_region\": null,\n \"world_region\": null,\n \"text\": \"Paris, Ile-de-France, France\",\n \"house_number\": null,\n \"road\": null,\n \"postcode\": \"75001\",\n \"suburb\": null,\n \"city_district\": null,\n \"city\": \"Paris\",\n \"state_district\": \"Paris\",\n \"state\": \"Ile-de-France\",\n \"country\": \"FRA\"\n },\n \"lat\": 48.85718,\n \"lng\": 2.3414100000000002,\n \"text\": \"Paris\"\n },\n \"title\": \"Part time data scientist\",\n \"title_ents\": [{'start': 0, 'end': 9, 'score': '0.5'},\n {'start': 10, 'end': 24, 'score': '0.5'}],\n \"skills\": [],\n \"courses\": [],\n \"certifications\": [],\n \"tasks\": [],\n \"company\": \"Data and AI Lab\",\n \"company_ents\": [{'start': 0, 'end': 4, 'score': '0.25'},\n {'start': 5, 'end': 8, 'score': '0.25'},\n {'start': 9, 'end': 11, 'score': '0.25'},\n {'start': 12, 'end': 15, 'score': '0.25'}],\n \"logo\": null\n }\n ],\n \"experiences_duration\": 1.7452054794520548,\n \"file_name\": \"file.pdf\",\n \"file_size\": 24879,\n \"gender\": null,\n \"images\": null,\n \"interests\": [\n {\n \"name\": \"natural language processing\",\n \"value\": null\n },\n {\n \"name\": \"entrepreneurship\",\n \"value\": null\n },\n {\n \"name\": \"geopolitics\",\n \"value\": null\n },\n {\n \"name\": \"football\",\n \"value\": null\n },\n {\n \"name\": \"basketball\",\n \"value\": null\n }\n ],\n \"key\": \"2379b389dd16f8df2d08a8a8957028f131725cfd\",\n \"languages\": [\n {\n \"name\": \"english\",\n \"value\": null\n },\n {\n \"name\": \"french\",\n \"value\": null\n },\n {\n \"name\": \"arabic\",\n \"value\": null\n },\n {\n \"name\": \"japanese\",\n \"value\": null\n }\n ],\n \"location\": {\n \"geojson\": {\n \"house\": null,\n \"category\": null,\n \"near\": null,\n \"unit\": null,\n \"level\": null,\n \"staircase\": null,\n \"entrance\": null,\n \"po_box\": null,\n \"island\": null,\n \"country_region\": null,\n \"world_region\": null,\n \"text\": \"1 Rue Daru, 75008 Paris, France\",\n \"house_number\": \"1\",\n \"road\": \"Rue Daru\",\n \"postcode\": \"75008\",\n \"suburb\": \"8e Arrondissement\",\n \"city_district\": \"8e Arrondissement\",\n \"city\": \"Paris\",\n \"state_district\": \"Paris\",\n \"state\": \"Ile-de-France\",\n \"country\": \"FRA\"\n },\n \"lat\": 48.877400000000002,\n \"lng\": 2.3006500000000001,\n \"text\": \"18 ,rue Daru, 75008, Paris, France\"\n },\n \"persons\": [\n {\n \"full_name\": \"Elmoustapha EBNOU\",\n \"first_name\": \"Elmoustapha\",\n \"last_name\": \"EBNOU\"\n }\n ],\n \"phones\": [\n \"+33783644323\"\n ],\n \"picture\": null,\n \"skills\": [\n {\n \"name\": \"python\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.634798179865,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"c + +\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.398719865,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"r\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.5981649716,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"matlab\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.2498579875,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"pytorch\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.89587612879,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"tensorflow\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.89587612879,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n },\n {\n \"name\": \"aws\",\n \"type\": \"hard\",\n \"value\": null,\n \"score\": 0.89587612879,\n \"ents\":[ \n \t\t{\n \"start\": 0,\n \"end\": 6,\n \"score\": 0.0512948\n \t}]\n }\n ],\n \"courses\": [],\n \"certifications\": [],\n \"tasks\": [],\n \"summary\": \"Full Time Data Science Researcher\",\n \"text\": \"Elmoustapha EBNOU\\nPersonal Data\\nAddress:\\n18, rue Daru, 75008, Paris, France\\nPhone:\\n+33 7 83 64 43 23\\nemail:\\nmoustapha.ebnou@riminder.net\\nGithub:\\ngithub.com/ebnou28\\nLinkedIn:\\nlinkedin.com/in/ebnouelmoustapha/\\nWork Experience\\nMay 2019 - Oct 2019\\nFull Time Data Science Researcher at Riminder , Paris\\nMay 2019 - Oct 2019\\nData Science Intern at Fortia Financial Solutions , Paris\\nMultilingual Sentence Classification\\nResearch internship on :\\nSep 2018- Mar 2019\\nPart time data scientist at Data and AI Lab, BNP PARIBAS , Paris\\nGenerative Adversarial Networks (GAN) with time series data\\nFeb-Aug 2018\\nArtificial intelligence intern at ECOJOKO , Paris\\nDeep learning applied on Nonintrusive load monitoring (NILM)\\nsep 2017- Jan 2018\\nData science intern at Givaudan, Paris\\nEducation\\n2018-2019\\nMsc in Mathematics, Machine learning and Computer vision\\nEcole Normale Superieure, Paris Saclay\\nMajor courses: Reinforcement learning,computer vision,\\nNatural language processing\\n2016-2019\\nMsc in Applied Mathematics and Data Science\\nEcole Centrale Paris\\nMajor courses : Convex optimisation, Stochastic calculus, Advanced statistics,\\nDeep learning\\nLanguages\\n- English: Fluent - French: Mothertongue - Arabic: Mothertongue - Japanese: beginner\\nComputer Skills\\nPython , C++ , R, Matlab, Machine Learning frameworks (Pytorch, Tensorflow), AWS\\nInterests and Activities\\nAI, Natural Language Processing, Entrepreneurship, Geopolitics, Football, Basketball\\nprofessional mail :\\n\",\n \"text_language\": \"en\",\n \"total_pages\": 1,\n \"processed_pages\": 1,\n \"date_birth\": {\n \"iso8601\": null,\n \"text\": null,\n \"timestamp\": null\n },\n \"urls\": []\n }]\n}"
}
}
}
}
}
},
"deprecated": false
}
}
},
"x-readme": {
"headers": [],
"explorer-enabled": true,
"proxy-enabled": true
},
"x-readme-fauxas": true
}
```