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I was interviewed in Jan 2025.
Myself mohammed mujahed mohiuddin iam right now persuing from christu Jyothi institute of technology and science branch ()AI&ML
My area of specialization is computer vision and image processing.
Developing algorithms for object detection and recognition
Implementing image segmentation techniques
Working with convolutional neural networks for image classification
I have worked on projects involving natural language processing, computer vision, and predictive modeling.
Developed a sentiment analysis model using NLP techniques
Implemented a facial recognition system using OpenCV
Built a predictive model for customer churn prediction
I have worked on projects involving natural language processing, computer vision, and predictive modeling.
Developed a sentiment analysis model using NLP techniques
Implemented a facial recognition system using CNNs
Built a predictive model for customer churn prediction
My expected stipend is $25 per hour.
I am looking for a stipend of $25 per hour for this internship.
I have researched the average stipend for Machine Learning Engineer Intern positions and believe $25 per hour is reasonable.
I am open to negotiation based on the specific responsibilities and requirements of the internship.
I have developed numerous front-end features for websites.
Top trending discussions
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Some basic aptitude questions were asked , but had to be solved in 20 minutes
Medium level 2 leet code questions were asked and i cleared both
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
There were verbal, non verbal, reasoning , English and maths questions
I worked on a project analyzing customer behavior using machine learning algorithms.
Used Python for data preprocessing and analysis
Implemented machine learning models such as decision trees and logistic regression
Performed feature engineering to improve model performance
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
Proficient in Python for data analysis and machine learning tasks
Experience with R for statistical analysis and visualization
Knowledge of SQL for querying databases and extracting data
Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
I currently stay in an apartment in downtown area.
I stay in an apartment in downtown area
My current residence is in a city
I live close to my workplace
I am a data science enthusiast with a strong background in statistics and machine learning.
Background in statistics and machine learning
Passionate about data science
Experience with data analysis tools like Python and R
I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.
Large Language Models are advanced AI models that can generate human-like text based on input data.
Large Language Models use deep learning techniques to understand and generate text.
Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
They are trained on vast amounts of text data to improve their language generation capabilities.
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
RAGs is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk.
Amber signifies tasks or projects that are on track but may require attention.
Green represents tasks or projects that ar...
There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.
K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.
DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
Yes, I can remove all the pcs from the lab and keep them in another lab right now.
Ensure all the necessary equipment and tools are available for the move
Coordinate with the lab staff to ensure a smooth transition
Label and document each PC for easy identification and setup in the new lab
Ensure proper packaging and handling to prevent any damage during the move
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
The first two numbers of the series are always 0 and 1
The next number is the sum of the previous two numbers
The series goes on infinitely: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...
Pseudo code: 1. Initialize variables a=0, b=1, c=0 2. Print a and b 3. Repeat steps 4-6 until desired number of terms 4. c=a+b 5. Pr
Algorithm for matrix multiplication
Create a result matrix with dimensions of the two input matrices
Iterate through each row and column of the result matrix
For each element in the result matrix, multiply corresponding row in first matrix with corresponding column in second matrix
Add the products obtained in the previous step to get the final value for the element
I worked on a project that involved sentiment analysis of customer reviews using Naive Bayes algorithm.
The project involved collecting customer reviews from various sources.
Preprocessing the data by removing stop words, stemming, and tokenizing.
Used Naive Bayes algorithm for sentiment analysis.
The algorithm was chosen because of its simplicity and effectiveness in text classification tasks.
The accuracy of the model was
Developed a web-based project management system for a construction company.
Used PHP and MySQL for backend development
Implemented user authentication and authorization
Designed a responsive UI using Bootstrap
Integrated Google Maps API for location tracking
Enabled file uploads and downloads for project documents
EXTC and IT are not mutually exclusive fields. My knowledge in EXTC complements my skills in IT.
My knowledge in EXTC gives me a strong foundation in electronics and communication, which are essential in the IT industry.
I have also gained programming skills through my coursework and projects in EXTC.
IT is a rapidly growing field with a lot of opportunities, and I believe my skills and knowledge make me a strong candidat...
Yes, I am open to relocation for the right opportunity.
I am willing to relocate for a position that aligns with my career goals
I am excited about the prospect of exploring a new city and culture
I am flexible and adaptable to new environments
I am familiar with several programming languages.
Java
Python
C++
JavaScript
SQL
A leader inspires and motivates while a manager plans and organizes.
Leaders focus on the big picture while managers focus on details
Leaders lead by example while managers delegate tasks
Leaders inspire and motivate while managers enforce rules and policies
Leaders are visionaries while managers are implementers
Examples of leaders: Steve Jobs, Martin Luther King Jr. Examples of managers: Tim Cook, COO of Apple
Yes, I am open to relocation for the right opportunity.
I am willing to relocate for the right job opportunity
I am open to exploring new places and cultures
I understand that relocation may come with challenges, but I am prepared to face them
I am excited about the prospect of starting fresh in a new location
I'm sorry, I don't have that information.
N/A
The TCS aptitude test was challenging but fair.
The test covered a wide range of topics including math, logic, and English.
The questions were designed to test problem-solving skills and critical thinking.
Time management was crucial as there were many questions to answer in a limited time.
Overall, the test was a good indicator of one's aptitude for software engineering.
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