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Isuranga-2001Isuranga-2001
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Merge pull request #148 from DoWhile-UOM/dev
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2 parents 287f09c + 79c4f51 commit 115beb9

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14 files changed

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-109
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‎FirstStep/Controllers/AdvertisementController.cs

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@@ -2,7 +2,6 @@
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using FirstStep.Services;
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using Microsoft.AspNetCore.Http;
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using Microsoft.AspNetCore.Mvc;
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using System.Reflection.Metadata.Ecma335;
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namespace FirstStep.Controllers
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{

‎FirstStep/Controllers/AppointmentController.cs

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@@ -46,13 +46,28 @@ public async Task<IActionResult> GetBookedAppointmentList(int advertismentId)
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}
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[HttpGet]
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[Route("GetByDate/{date}")]
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public async Task<ActionResult<List<dailyInterviewDto>>> GetSchedulesByDate(DateTime date)
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[Route("GetSchedulesByDateAndCompany/{date}/Company/{companyId}")]
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public async Task<ActionResult<List<dailyInterviewDto>>> GetSchedulesByDate(DateTime date, int companyId)
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{
52-
var schedules = await _appointmentService.GetSchedulesByDate(date);
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var schedules = await _appointmentService.GetSchedulesByDate(date, companyId);
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return Ok(schedules);
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}
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[HttpGet]
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[Route("GetInterviewStat")]
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public async Task<IActionResult> GetInterviewStat(int companyId)
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{
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try
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{
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return Ok(await _appointmentService.GetInterviewStat(companyId));
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}
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catch (Exception e)
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{
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return ReturnStatusCode(e);
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}
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}
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[HttpPost]
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[Route("CreateAppointments")]
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public async Task<IActionResult> CreateAppointments(AddAppointmentDto newAppointment)

‎FirstStep/Controllers/EmailController.cs

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@@ -2,6 +2,7 @@
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using FirstStep.Services;
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using FirstStep.Models.DTOs;
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using FirstStep.Models.ServiceModels;
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using FirstStep.Models;
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namespace FirstStep.Controllers
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{
@@ -28,6 +29,15 @@ public async Task<IActionResult> RequestOTP(VerifyEmailDto request)
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};
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}
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[HttpGet]
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[Route("TestEmail")]
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public async Task<IActionResult> RequestOTP()
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{
36+
await _emailService.SendEmailInterviewBookConfirm("ashanmatheesha@gmail.com", "Software Developer","Bistec Global","2023-07-20","1.00 PM");
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//Task SendEmailInterviewBook(string email, string advertismentTitle, string company_name, int userid, int advertismentid);
38+
return Ok("Email Sent");
39+
}
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[HttpPost]
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[Route("VerifyEmail")]
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public IActionResult OTPCheck(OTPRequest request)

‎FirstStep/Data/DataSeeder.cs

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@@ -18,10 +18,8 @@ public async Task SeedAdvertisements(int count)
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// random job titles
2020
string[] jobTitles = {
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"AI Engineer", "Data Scientist", "AI Developer", "AI Data Scientist", "AI Product Manager", "AI Research Scientist", "DevOps Engineer", "Python Web Developer", "Senior Data Scientist",
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"Python DevOps Engineer", "Python Automation Engineer", "Deep Learning Engineer", "Python Scripting Specialist", "Applied Machine Learning Researcher", "NLP (Natural Language Processing) Engineer",
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"Quantitative Data Scientist", "Marketing Data Analyst", "Big Data Analyst", "Full Stack Engineer", "Business Data Analyst", "Python Backend Developer", "Machine Learning Scientist", "Computer Vision Engineer"
24-
};
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"Software Engineer", "Senior Software Engineer", "Dynamics 365 and C# Developer", "Quality Assurance Engineer", "QA Analyst", "Solution Architect", "DevOps Engineer", "Frontend Developer", "Backend Developer"
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};
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// random countries and cities
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Dictionary<string, string[]> countries = new Dictionary<string, string[]>()
@@ -32,7 +30,7 @@ public async Task SeedAdvertisements(int count)
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{ "Australia", new string[] {"Sydney", "Melbourne", "Brisbane", "Perth" } },
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};
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35-
string[] cities = { "Colombo", "Kandy", "Matara", "Kalutara", "Gampaha", "Moratuwa", "Galle", "Matale"};
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string[] cities = { "Colombo", "Kandy", "Matara", "Kalutara", "Gampaha", "Moratuwa", "Galle"};
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// random employment types
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string[] employmentTypes = { "Full-time", "Part-time", "Contract", "Internship", "Temporary", "Volunteer" };
@@ -44,103 +42,91 @@ public async Task SeedAdvertisements(int count)
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string[] experiences = { "Internship", "Entry Level", "Associate", "Mid Level", "Senior Level", "Experienced" };
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// random job keywords
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string[] keywords = { "ai", "machine learning", "data science", "devop", "big data", "deep learning", "computer vision", "python", "software engineer", "ai engineer" };
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string[] keywords = { "software engineer", "web developer", "full stack developer", "software developer" };
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// random skills
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string[] skills = { "machine learning", "flask", "fastapi", "python", "machine learning", "classification", "machine learning models", "data science", "cicd", "azure", "aws" };
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//string[] keywords = { "ai", "machine learning", "data science", "devop", "big data", "deep learning", "computer vision", "python", "software engineer", "ai engineer" };
48+
string[] skills = { "C#", "ASP.NET", "Unit Testing", "Agile", "Continuous Integration", "RESTful APIs" };
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// random salary
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float[] salaries = { 6500f, 2500f, 2550f, 1500f };
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// random hr managers
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int[] hrmanager = { 1075, 4137 };
54+
int[] hrmanager = { 2, 7 };
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// sample description
59-
string description = @"<h2>
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string description = @"
58+
<h2>
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<strong>
6160
Overview
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</strong>
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</h2>
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<p style=""letter-spacing: 0.214286px;"">
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As a Machine Learning Engineer, you’ll play a crucial role in designing, developing, and implementing machine learning models and algorithms. Your work will directly impact our organization’s products and services, driving innovation and improving user experiences.
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</p>
67-
<p>
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<br>
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</br>
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<h2>
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<strong>
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Qualifications
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</strong>
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</h2>
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<ul>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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A strong background in machine learning, deep learning, and statistical modeling.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Proficiency in programming languages such as Python, R, or Julia.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Strong problem-solving skills and the ability to collaborate with cross-functional teams.
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</span>
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</li>
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</ul>
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<p>
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<br>
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</br>
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<h2>
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<strong>
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Responsibilities
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</strong>
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</h2>
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<ul>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Developing and implementing machine learning models for various applications (e.g., natural language processing, computer vision, recommendation systems).
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Collecting, cleaning, and analyzing large datasets to extract meaningful insights.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Collaborating with data scientists, software engineers, and product managers to define project goals and requirements.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Optimizing and fine-tuning models for performance and scalability.
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</span>
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</li>
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<li style="""">
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<span style=""letter-spacing: 0.214286px;"">
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Staying up-to-date with the latest advancements in machine learning and AI.
134-
</span>
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</li>
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</ul>
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<p>
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<br>
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</br>
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</p>
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</p>
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</p>
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";
66+
<h2>
67+
<strong>
68+
Qualifications
69+
</strong>
70+
</h2>
71+
<ul>
72+
<li style="""">
73+
<span style=""letter-spacing: 0.214286px;"">
74+
A strong background in machine learning, deep learning, and statistical modeling.
75+
</span>
76+
</li>
77+
<li style="""">
78+
<span style=""letter-spacing: 0.214286px;"">
79+
Proficiency in programming languages such as Python, R, or Julia.
80+
</span>
81+
</li>
82+
<li style="""">
83+
<span style=""letter-spacing: 0.214286px;"">
84+
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
85+
</span>
86+
</li>
87+
<li style="""">
88+
<span style=""letter-spacing: 0.214286px;"">
89+
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
90+
</span>
91+
</li>
92+
<li style="""">
93+
<span style=""letter-spacing: 0.214286px;"">
94+
Strong problem-solving skills and the ability to collaborate with cross-functional teams.
95+
</span>
96+
</li>
97+
</ul>
98+
<h2>
99+
<strong>
100+
Responsibilities
101+
</strong>
102+
</h2>
103+
<ul>
104+
<li style="""">
105+
<span style=""letter-spacing: 0.214286px;"">
106+
Developing and implementing machine learning models for various applications (e.g., natural language processing, computer vision, recommendation systems).
107+
</span>
108+
</li>
109+
<li style="""">
110+
<span style=""letter-spacing: 0.214286px;"">
111+
Collecting, cleaning, and analyzing large datasets to extract meaningful insights.
112+
</span>
113+
</li>
114+
<li style="""">
115+
<span style=""letter-spacing: 0.214286px;"">
116+
Collaborating with data scientists, software engineers, and product managers to define project goals and requirements.
117+
</span>
118+
</li>
119+
<li style="""">
120+
<span style=""letter-spacing: 0.214286px;"">
121+
Optimizing and fine-tuning models for performance and scalability.
122+
</span>
123+
</li>
124+
<li style="""">
125+
<span style=""letter-spacing: 0.214286px;"">
126+
Staying up-to-date with the latest advancements in machine learning and AI.
127+
</span>
128+
</li>
129+
</ul>";
144130

145131
Random random = new Random();
146132

@@ -191,7 +177,7 @@ Staying up-to-date with the latest advancements in machine learning and AI.
191177
experience = experiences[random.Next(experiences.Length)],
192178
salary = salaries[i % salaries.Length],
193179
currency_unit = "USD",
194-
submission_deadline = System.DateTime.Now.AddDays(90),
180+
submission_deadline = DateTime.Now.AddDays(90),
195181
job_description = description,
196182
hrManager_id = hrmanager[random.Next(hrmanager.Length)],
197183
field_id = 1,

‎FirstStep/Models/DTOs/AddAppointmentDto.cs

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@@ -6,5 +6,9 @@ public struct AddAppointmentDto
66
public int advertisement_id { get; set; }
77
public int duration { get; set; }
88
public List<DateTime> time_slots { get; set; }
9+
10+
public string comment { get; set; }
11+
12+
913
}
1014
}

‎FirstStep/Models/DTOs/DailyInterviewCount.cs

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1+
namespace FirstStep.Models.DTOs
2+
{
3+
public class DailyInterviewCount
4+
{
5+
public DateTime Date { get; set; }
6+
public int Booked { get; set; }
7+
public int Completed { get; set; }
8+
public int Missed { get; set; }
9+
}
10+
}

‎FirstStep/Models/DTOs/InterviewStatDto.cs

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Original file line numberDiff line numberDiff line change
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1+
namespace FirstStep.Models.DTOs
2+
{
3+
public class InterviewStatDto
4+
{
5+
public List<DailyInterviewCount>? InterviewCountPerDay { get; set; }
6+
public double IsCalledPercentage { get; set; }
7+
}
8+
}

‎FirstStep/Models/DTOs/dailyInterviewDto.cs

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@@ -15,6 +15,8 @@ public class dailyInterviewDto
1515
public required string first_name { get; set; }
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1717
public required string last_name { get; set; }
18+
19+
public int? seeker_id { get; set; }
1820
}
1921

2022
}

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