From Algorithm to Interview: My Journey as a Data Mining Engineer
As a statistics major, I have always been fascinated by the world of data mining and machine learning. After completing my undergraduate and postgraduate studies at a 211 university, I spent two years working in various industries, honing my skills in programming languages such as Java and Python, as well as machine learning algorithms like xgboost and GBDT. However, it was during my internship at Ping’an Technology that I truly discovered my passion for data mining and decided to pursue a career in this field.
My Interview Journey
I recently had the opportunity to interview with several top companies in the industry, including Tencent, Ali, and Baidu. Each interview presented a unique challenge, but I was determined to showcase my skills and knowledge in data mining and machine learning.
Interview 1: Tencent Cloud Data Mining Engineer
My first interview was with Tencent Cloud, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. I was surprised by the technical depth of the questions, but I was confident in my ability to answer them. The interviewer was kind and provided feedback on my code style, suggesting that I improve my efficiency in data processing.
Interview 2: Good Future Data Mining Machine Learning Engineer
My second interview was with Good Future, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. The interviewer was friendly and provided feedback on my responses, suggesting that I improve my understanding of data structures.
Interview 3: Lot of Data Mining Engineer
My third interview was with Lot of Data Mining Engineer, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. The interviewer was challenging, but I was able to answer his questions confidently.
Interview 4: Sogou Search Business Unit Data Mining
My fourth interview was with Sogou Search Business Unit, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. The interviewer was kind and provided feedback on my responses, suggesting that I improve my understanding of data structures.
Interview 5: Baidu Machine Learning
My fifth interview was with Baidu Machine Learning, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. The interviewer was challenging, but I was able to answer his questions confidently.
Interview 6: Suning Appliance Algorithm Engineer
My sixth interview was with Suning Appliance Algorithm Engineer, where I was asked to introduce myself and my projects, as well as answer questions on machine learning algorithms and data structures. The interviewer was friendly and provided feedback on my responses, suggesting that I improve my understanding of data structures.
Lessons Learned
Throughout my interview journey, I learned several valuable lessons. Firstly, I realized the importance of having a strong foundation in data structures and algorithms. Secondly, I learned the value of practicing and improving my skills in machine learning algorithms and data processing. Lastly, I understood the importance of being confident and prepared during an interview.
Conclusion
In conclusion, my journey as a data mining engineer has been a challenging but rewarding experience. I have learned valuable lessons and gained valuable experience, which will help me in my future endeavors. I hope that my story will inspire others to pursue a career in data mining and machine learning, and I wish them all the best in their own interview journeys.
Self-Introduction
My name is Andy, and I am a statistics major with a passion for data mining and machine learning. I have completed my undergraduate and postgraduate studies at a 211 university and have spent two years working in various industries, honing my skills in programming languages and machine learning algorithms. I am excited to share my story and provide feedback to others who are pursuing a career in data mining and machine learning.
Projects
During my internship at Ping’an Technology, I worked on several projects, including:
- Data preprocessing and feature selection
- Xgboost and GBDT algorithms
- Naive Bayesian derivation and decision tree principles
- Random Forests and GBDT
- Adaboost principle
- Logistic regression derivation and loss function
- SVM derivation and loss function
- Kmeans clustering method and principle
Machine Learning Algorithms
I have a deep understanding of several machine learning algorithms, including:
- Xgboost
- GBDT
- Naive Bayesian
- Decision tree
- Random Forests
- Adaboost
- Logistic regression
- SVM
- Kmeans clustering
Data Structures
I have a strong foundation in data structures, including:
- Arrays
- Linked lists
- Stacks
- Queues
- Trees
- Graphs
Programming Languages
I have proficiency in several programming languages, including:
- Java
- Python
- SQL
- C++
- JavaScript
Interview Questions
During my interview journey, I was asked several questions, including:
- What is a doubly linked list?
- How can you find two numbers in an array that add up to a fixed value?
- What is the difference between RF and GBDT?
- How can you traverse a binary tree using a queue?
- What is the relationship between father and son in RF and decision tree?
Conclusion
In conclusion, my journey as a data mining engineer has been a challenging but rewarding experience. I have learned valuable lessons and gained valuable experience, which will help me in my future endeavors. I hope that my story will inspire others to pursue a career in data mining and machine learning, and I wish them all the best in their own interview journeys.