# django_session

session_key: 553o348jcbbxledctiuy76hnj1yycs1t
expire_date: 2025-10-20 10:54:55.730536
session_data:
  .eJxVjEEOwiAQRe_C2pDCUEZcuu8ZmmEYpGpoUtqV8e7apAvd_vfef6mRtrWMW5NlnJK6KKNOv1skfkjdQbpTvc2a57ouU9S7og_a9DAneV4P9--gUCvfOguDUOyD52gBfRRyeHbJWLZ9n0G87TqETGANIAaP5JGFE0RHSYJ6fwDznjgz:1v5irn:f-ANTrLEHpCFDhhx6O2i1JRFU2lk4UWUYmmwqMauB0M


# recruitment_candidate

email: faheedk215@gmail.com
resume: resumes/resume_juanjosecarin_xg0Feln.pdf
created_at: 2025-10-05 15:47:56.696169
job_id: KAAUH-2025-0002
updated_at: 2025-10-06 12:02:21.307257
first_name: Faheed
last_name: Khan
phone: 0525252566
stage: Applied
slug: g3832P9t
parsed_summary:
  {'full_name': 'Juan Jose Carin', 'current_title': 'Data Scientist', 'location': 'Mountain View, CA 94041', 'contact': {'phone': '650-336-4590', 'email': 'juanjose.carin@gmail.com'}, 'linkedin': 'https://www.linkedin.com/in/juanjosecarin', 'github': 'https://juanjocarin.github.io', 'summary': 'Passionate about data analysis and experiments, mainly focused on user behavior, experience, and engagement, with a solid background in data science and statistics, and extensive experience using data insights to drive business growth.', 'education': [{'institution': 'University of California, Berkeley', 'degree': 'Master of Information and Data Science', 'year': 2016, 'gpa': 3.93, 'relevant_courses': ['Machine Learning', 'Machine Learning at Scale', 'Storing and Retrieving Data', 'Field Experiments', 'Applied Regression and Time Series Analysis', 'Exploring and Analyzing Data', 'Data Visualization and Communication', 'Research Design and Applications for Data Analysis']}, {'institution': 'Universidad Politécnica de Madrid', 'degree': 'M.S. in Statistical and Computational Information Processing', 'year': 2014, 'gpa': 3.69, 'relevant_courses': ['Data Mining', 'Multivariate Analysis', 'Time Series', 'Neural Networks and Statistical Learning', 'Regression and Prediction Methods', 'Optimization Techniques', 'Monte Carlo Techniques', 'Numerical Methods in Finance', 'Stochastic Models in Finance', 'Bayesian Networks']}, {'institution': 'Universidad Politécnica de Madrid', 'degree': 'M.S. in Telecommunication Engineering', 'year': 2005, 'gpa': 3.03}], 'skills': {'programming': ['R', 'Python', 'SQL', 'SPSS', 'SAS', 'Matlab', 'EViews', 'Demetra+'], 'big_data': ['Hadoop', 'Hive', 'MrJob', 'Spark', 'Storm', 'Bash'], 'visualization': ['Tableau', 'D3.js', 'Gephi', 'Neo4j', 'QGIS'], 'other': ['Git', 'AWS']}, 'experience': [{'company': 'CONENTO', 'job_title': 'Data Scientist', 'location': 'Madrid, Spain (working remotely)', 'start_date': '2016-01', 'end_date': '2016-03', 'key_achievements': ['Designed and implemented the ETL pipeline for a predictive model of traffic on the main roads in eastern Spain (a project for the Spanish government).', 'Automated scripts in R to extract, transform, clean (incl. anomaly detection), and load into MySQL data from multiple data sources: road traffic sensors, accidents, road works, weather.']}, {'company': 'CONENTO', 'job_title': 'Data Scientist', 'location': 'Madrid, Spain', 'start_date': '2014-06', 'end_date': '2014-09', 'key_achievements': ["Designed an experiment for Google Spain (conducted in October 2014) to measure the impact of YouTube ads on the sales of a car manufacturer's dealer network.", 'A matched-pair, cluster-randomized design, which involved selecting the test and control groups from a sample of 50+ cities in Spain (where geo-targeted ads were possible) based on their sales-wise similarity over time, using wavelets (and R).']}, {'company': 'YOKOGAWA', 'job_title': 'Head of Sales, Spain & Portugal – Test & Measurement dept.', 'location': 'Madrid, Spain', 'start_date': '2009-02', 'end_date': '2013-08', 'key_achievements': ['Applied analysis of sales and market trends to decide the direction of the department.', 'Led a team of 7 people.', 'Increased revenue by 6.3%, gross profit by 4.2%, and operating income by 146%, and achieved a 30% ratio of new customers (3x growth) by entering new markets and improving customer service and training.']}, {'company': 'YOKOGAWA', 'job_title': 'Sales Engineer – Test & Measurement dept.', 'location': 'Madrid, Spain', 'start_date': '2008-04', 'end_date': '2009-01', 'key_achievements': ['Promoted to head of sales after 5 months leading the sales team.']}, {'company': 'AYSCOM', 'job_title': 'Sales & Application Engineer', 'location': 'Madrid, Spain', 'start_date': '2004-09', 'end_date': '2008-03', 'key_achievements': ['Exceeded sales target every year from 2005 to 2007 (achieved 60% of the target in the first 3 months of 2008).']}, {'company': 'ACADEMIA UNIVERSITARIA', 'job_title': 'Tutor of Differential & Integral Calculus, Physics, and Digital Electronic Circuits', 'location': 'Madrid, Spain', 'start_date': '2002-07', 'end_date': '2004-06', 'key_achievements': ['Highest-rated professor in student surveys, in 4 of the 6 terms.', 'Increased ratio of students passing the course by 25%.']}], 'projects': [{'name': 'SmartCam', 'year': 2016, 'technologies_used': ['Python', 'OpenCV', 'TensorFlow', 'AWS (EC2, S3, DynamoDB)'], 'brief_description': 'A scalable cloud-based video monitoring system that features motion detection, face counting, and image recognition.'}, {'name': 'Implementation of the Shortest Path and PageRank algorithms with the Wikipedia graph dataset', 'year': 2015, 'technologies_used': ['Hadoop', 'MrJob', 'Python', 'AWS EC2', 'AWS S3'], 'brief_description': 'Using a graph dataset of almost half a million nodes.'}, {'name': 'Forest cover type prediction', 'year': 2015, 'technologies_used': ['Python', 'Scikit-Learn', 'Matplotlib'], 'brief_description': 'A Kaggle competition: predictions of the predominant kind of tree cover, from strictly cartographic variables such as elevation and soil type, using random forests, SVMs, kNNs, Naive Bayes, Gradient Descent, GMMs, etc.'}, {'name': 'Redefining the job search process', 'year': 2015, 'technologies_used': ['Hadoop HDFS', 'Hive', 'Spark', 'Python', 'AWS EC2', 'Tableau'], 'brief_description': 'A pipeline that combines data from Indeed API and the U.S. Census Bureau to select the best locations for data scientists based on the number of job postings, housing cost, etc.'}, {'name': 'A fresh perspective on Citi Bike', 'year': 2015, 'technologies_used': ['Tableau', 'SQLite'], 'brief_description': 'An interactive website to visualize NYC Citi Bike bicycle sharing service.'}, {'name': 'Investigating the effect of competition on the ability to solve arithmetic problems', 'year': 2015, 'technologies_used': ['R'], 'brief_description': 'A randomized controlled trial in which 300+ participants were assigned to a control group or one of two test groups to evaluate the effect of competition (being compared to no one or someone better or worse).'}, {'name': 'Prediction of customer churn for a mobile network carrier', 'year': 2014, 'technologies_used': ['SAS'], 'brief_description': 'Predictions from a sample of 45,000+ customers, using tree decisions, logistic regression, and neural networks.'}, {'name': 'Different models of Harmonized Index of Consumer Prices (HICP) in Spain', 'year': 2014, 'technologies_used': ['SPSS', 'Demetra+'], 'brief_description': 'Forecasts based on exponential smoothing, ARIMA, and transfer function (using petrol price as independent variable) models.'}]}

criteria_checklist:
  {"Education": "Met", "Experience": "Partially Met", "SQL": "Met", "Data visualization": "Met", "Excel": "Not Mentioned", "Analytics platforms": "Partially Met", "Statistical knowledge": "Met", "Soft skills": "Met"}

strengths:
  Juan Jose Carin has a strong educational background in data science and statistics, with a Master of Information and Data Science from UC Berkeley. He has extensive experience in data analysis and experimentation, including designing and implementing A/B tests, creating dashboards and reports, and using statistical methods to interpret test results. His experience with SQL, Tableau, and Python aligns well with the technical requirements of the role. He also has a proven track record of translating complex data insights into actionable recommendations to drive business growth.

weaknesses:
  While Juan Jose has a strong background in data science, his experience is more focused on general data analysis and experimentation rather than specific marketing and advertising campaigns. He has less direct experience with digital marketing platforms like Google Analytics, Google Ads, and Facebook Ads Manager. Additionally, his most recent experience is in a general Data Scientist role rather than a specialized marketing analytics role.


email: jitendra@gmail.com
resume: resumes/jitendra.pdf
created_at: 2025-10-06 12:08:04.272406
job_id: KAAUH-2025-0002
updated_at: 2025-10-06 12:09:01.811326
first_name: JItendra
last_name: Dubey
phone: 0525252566
stage: Applied
slug: poFhkGAc
parsed_summary:
  {'full_name': 'JITENDRA LOHIYA', 'current_title': 'Area Sales Manager', 'location': 'Bhopal, MP', 'contact': {'phone': '9300015278', 'email': 'jitendra.lohiya88@gmail.com'}, 'linkedin': None, 'github': None, 'summary': 'To establish myself as a complete hard worker and acquire the expertise of handling operations & methods with equal efficiency and grow with the organization through my hard work, diligence & integrity.', 'education': [{'institution': 'BU BHOPAL', 'degree': 'B.COM.', 'year': 2009, 'gpa': None, 'relevant_courses': None}, {'institution': 'CBSE', 'degree': 'AISSCE', 'year': 2006, 'gpa': None, 'relevant_courses': None}, {'institution': 'CBSE', 'degree': 'AISSE', 'year': 2004, 'gpa': None, 'relevant_courses': None}], 'skills': ['MS-Office (MS Word, Excel, PowerPoint)', 'Internet, mailing'], 'experience': [{'company': 'KISNA Diamond Jewelry', 'job_title': 'Senior Sales Executive', 'location': 'Bhopal, MP', 'start_date': '2008-09', 'end_date': '2010-05', 'key_achievements': ['Appointed distributors and retailers in Bhopal, Vidisha, Hoshangabad, and Sehore']}, {'company': 'Varka Gems Stones Bhopal', 'job_title': 'Area Sales Manager (M.P.)', 'location': 'Bhopal, MP', 'start_date': '2010-04', 'end_date': '2012-12', 'key_achievements': ['Appointed a team in Gwalior, Indore, Jabalpur, and Bhopal', 'Helped executives appoint distributors and retailers']}, {'company': 'TARA jewels ltd', 'job_title': 'B2B Marketing & Retail Sales Officer', 'location': 'Bhopal, MP', 'start_date': '2012-01-23', 'end_date': '2013-10', 'key_achievements': []}, {'company': 'Tanis HQ Jewellers (TATA PRODUCT)', 'job_title': 'Retail Sales Officer', 'location': 'Bhopal, MP', 'start_date': '2013', 'end_date': '2016', 'key_achievements': []}, {'company': 'Golden Touch Art Ware Pvt. Ltd. (24 Karat Gold)', 'job_title': 'Area Sales Manager', 'location': 'Bhopal, MP', 'start_date': '2016-01', 'end_date': 'Present', 'key_achievements': ['Ensured easy function of the distributor system', 'Handled team and staff management', 'Motivated and inspired team members', 'Set a good example as a role model', 'Coached and helped develop team members', 'Ensured discussions and decisions lead toward closure']}], 'projects': [], 'personal_details': {'date_of_birth': '1988-03-01', 'father_name': 'Shri K.L. Lohiya', 'marital_status': 'Married', 'nationality': 'Indian', 'languages_known': ['Hindi', 'English', 'Kannada', 'Marathi'], 'hobbies': ['playing cricket', 'drawing'], 'other': 'National Cricket player', 'permanent_address': 'Village Chhapri Talluk Teh. Ichhavar, Dist. Sehore, MP'}}

criteria_checklist:
  {"Education": "Not Met", "Experience": "Not Met", "Technical skills": {"SQL": "Not Mentioned", "Data visualization": "Not Mentioned", "Excel": "Met", "Analytics platforms": "Not Mentioned", "Statistical knowledge": "Not Mentioned"}, "Soft skills": {"Analytical, problem-solving, and critical-thinking abilities": "Not Mentioned", "Communication and presentation skills": "Not Mentioned", "Attention to detail and organizational skills": "Not Mentioned", "Collaborative and independent work": "Not Mentioned"}}

strengths:
  The candidate has significant experience in sales and marketing roles, which could provide a broad understanding of business operations and customer engagement. The candidate is also proficient in MS Excel, which is a basic requirement for the role.

weaknesses:
  The candidate lacks the specific technical skills and educational background required for the role. There is no mention of experience with SQL, data visualization tools, or digital marketing platforms. The candidate's educational background (B.Com) does not align with the required quantitative fields. The candidate has not demonstrated experience in data analysis or campaign performance measurement.


# recruitment_jobposting

title: job1
job_type: FULL_TIME
workplace_type: ON_SITE
location_country: United States
application_url: https://test.com
internal_job_id: KAAUH-2025-0001
created_at: 2025-10-05 12:58:37.002293
updated_at: 2025-10-05 12:58:37.002306
status: DRAFT
slug: vKnZJxTK
description:
  We are looking for a highly skilled Senior Data Scientist to join our dynamic and growing analytics team. In this role, you will be responsible for leading complex data science projects from conception to deployment. You will leverage vast datasets to uncover critical insights, build sophisticated machine learning models, and directly influence our business strategy. This is a chance to work on high-impact projects and mentor a team of talented data professionals.

  Key Responsibilities:

  Design, develop, and deploy end-to-end machine learning models to address key business challenges in areas like customer analytics, operational efficiency, and predictive forecasting.

  Perform complex exploratory data analysis on large, diverse datasets to identify trends, patterns, and actionable insights.

  Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to define project requirements and deliver data-driven solutions.

  Communicate complex findings and the value of your work to both technical and non-technical audiences through clear visualizations and presentations.

  Develop and maintain robust data pipelines in collaboration with our data engineering team.

  Mentor junior data scientists, providing guidance on best practices, statistical techniques, and model development.

  Stay current with the latest advancements in AI, machine learning, and data science to drive innovation within the company.

qualifications:
  Required Qualifications (Must-Haves):

  Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.

  5+ years of hands-on experience in a data science or machine learning role.

  Expert proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

  Strong experience with SQL for querying and manipulating large datasets.

  Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Azure, or GCP).

  Solid understanding of statistical analysis, predictive modeling, and machine learning algorithms.

  Excellent problem-solving and communication skills.

  Preferred Qualifications (Nice-to-Haves):

  Experience with Large Language Models (LLMs) and generative AI applications.

  Familiarity with big data technologies like Apache Spark.

  Experience in the FinTech, E-commerce, or Energy sectors.

  Proficiency in data visualization tools like Tableau or Power BI.

  Proficiency in Arabic is a plus.


title: Data Analysis Marketing ads
department: Marketing
job_type: FULL_TIME
workplace_type: ON_SITE
location_city: Riyadh
location_country: Saudi Arabia
salary_range: 1000-2000
application_url: https://test.com
internal_job_id: KAAUH-2025-0002
created_at: 2025-10-06 11:12:43.701703
updated_at: 2025-10-06 11:12:43.701715
status: DRAFT
slug: YxH1z2dT
description:
  ob Summary
  We are seeking a detail-oriented Data Analyst to join our marketing team and specialize in advertising and campaign testing. The successful candidate will be responsible for providing data-driven insights that inform and optimize our advertising strategies. This includes measuring campaign effectiveness, analyzing consumer behavior, and providing actionable recommendations to maximize ROI through strategic testing. 
  Responsibilities
  Analyze campaign performance: Collect, analyze, and interpret data from various advertising campaigns across channels such as paid search, paid social, and display advertising.
  Design and execute A/B tests: Collaborate with marketing managers to develop, implement, and analyze A/B tests on ad creative, copy, and landing pages to improve performance.
  Develop reports and dashboards: Create and maintain clear, informative dashboards and reports that track key performance indicators (KPIs) and visualize campaign results for stakeholders.
  Provide actionable insights: Translate complex data findings into clear, concise, and actionable recommendations for the marketing team to optimize ad spend and improve campaign effectiveness.
  Monitor industry trends: Stay up-to-date with the latest trends and best practices in marketing analytics and advertising to inform testing strategies and improvements.
  Collaborate cross-functionally: Work with marketing, creative, and product teams to ensure a shared understanding of campaign performance and to align testing efforts with business goals.
  Ensure data integrity: Support the data tracking infrastructure to ensure the accuracy and consistency of all data used in analysis.

qualifications:
  Education: Bachelor's degree in Marketing, Statistics, Data Science, Economics, or a related quantitative field.
  Experience: Proven experience in a data analysis or marketing analytics role, with a focus on advertising and campaign performance.
  Technical skills
  SQL: Proficiency in SQL for querying, manipulating, and analyzing large datasets.
  Data visualization: Experience with data visualization tools such as Tableau, Power BI, or Looker to create dashboards and reports.
  Excel: Advanced skills in Microsoft Excel for data analysis and reporting, including pivot tables and complex formulas.
  Analytics platforms: Familiarity with digital marketing and analytics platforms such as Google Analytics, Google Ads, and Facebook Ads Manager.
  Statistical knowledge: A solid understanding of statistical concepts, including hypothesis testing and statistical significance for interpreting test results.
  Soft skills
  Strong analytical, problem-solving, and critical-thinking abilities.
  Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
  High attention to detail and strong organizational skills.
  Ability to work both independently and collaboratively within a fast-paced team environment.


