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      Búsquedas relacionadas: Evaluaciones de MathCo | Empleos en MathCo | Sueldos en MathCo | Prestaciones en MathCo
      Entrevistas en MathCoEntrevistas para el cargo de Analyst Data Science en MathCoEntrevista en MathCo


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      KPMG
      3.6★Remuneración y prestaciones

      Entrevista para Analyst Data Science

      30 mar 2022
      Candidato de entrevista anónimo
      Bengaluru

      Otras evaluaciones sobre las entrevistas para el cargo de Analyst Data Science en MathCo

      Entrevista para Analyst Data Science

      25 mar 2022
      Empleado anónimo
      Gurgaon, Haryana
      Oferta aceptada
      Sin ofertas
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Me postulé a través de una agencia de empleos. Acudí a una entrevista en MathCo (Bengaluru)

      Entrevista

      The Recruitment Process consists of a total of 4 rounds. 1. Technical Test on Online Platform 2. Technical Interview 3. Fitment Interview 4. HR Round 1. Technical Test : It's a test on the online platform where we have to solve questions on SQL, Python, Pandas Dataframe, and MCQ. MCQ is based on statistics and ML mostly.(For me it was) . For SQL I think the good practice of the Window function will do the work. For Python your logic in coding is important. one can expect questions like a palindrome. And for DataFrame, should have practice data manipulation using pandas. 2. Technical Interview: A good intro along with Describing any one project you have done. get ready to answer all the questions that will be asked based on the project and tools you used. sometimes they ask to share a screen and write SQL queries or do python code. 3. Fitment Round : It's a quite tricky round. Based on the company requirement for a candidate and based on your luck to pass this round. Either way, if you do not believe in luck then do a proper study of Guesstimation case studies.be more analytical and be ready to solve case studies on the spot with the interviewer. In my case, this was the round I could reach at most. For me, the interviewer had a bad network connection and He told me at the start that he switching to mobile for a better network. But still, the voice was not clear and I could not understand the case study. I asked 'Sorry sir, your voice is not clear, can you repeat the question' - he did it 2 times, still did not get a clear problem statement and He got angry and said ' I told you everything that was required and you are on your own'. Without a clear question, how to answer it. And I failed in this round. But You can be Lucky like my friend, who got questions like "Why data Analytics", "Your Future goals", "What do you expect from the company" kind of, and he got selected. 4. HR Round: Normal HR Talk about joining and Salary may be. I cant reach it but heard. All the best

      Preguntas de entrevista [1]

      Pregunta 1

      Technical Interview : 1. From where did u get data for your project and alternatives. 2. ML models and their working (Basic) 3. ML Metrics, Importance, and Role in Your Project. 4. What is Data encoding. 5. Scalers and different types and their uses.
      1 respuesta
      4
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé a través de una recomendación de un empleado. El proceso tomó 2 semanas. Acudí a una entrevista en MathCo (Gurgaon, Haryana) en feb 2022

      Entrevista

      I've been to 3 rounds. 1. Technical Round 1 (about 1:30 min) 2. Technical Round 2/ Fitment Round (1 Hour) 3. HR Round (20 Min) The interview was average and wanted to see your confidence and what you will bring on table.

      Preguntas de entrevista [1]

      Pregunta 1

      1. About your capstone project 2. Aptitude 3. Python 4. Tricked Questions
      Responder pregunta
      1

      Entrevista para Analyst, Data Science

      17 may 2021
      Candidato de entrevista anónimo
      Oferta rechazada
      Experiencia neutra
      Entrevista fácil

      Solicitud

      Me postulé a través de una facultad o universidad. El proceso tomó 1 semana. Acudí a una entrevista en MathCo en may 2021

      Entrevista

      Fairly easy. As a startup, they are mostly looking for coachability and fitment most of all. Basic skills of python, SQL and Machine Learning are also tested. Advanced SQL and Machine Learning funda are very necessary. Good interviewer with collaborative approach.

      Preguntas de entrevista [1]

      Pregunta 1

      Union all, window functions vs joins, duplicate rows extraction. Decision tree, performance metrics for classification
      Responder pregunta
      2