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I am currently based in Los Angeles, California.
I live in a neighborhood called Silver Lake.
I am open to remote work opportunities.
I am familiar with the local animation industry.
I have access to a home studio setup for animation work.
I use Autodesk Maya and Blender for 3D animation.
Autodesk Maya is a powerful software with a lot of features and is widely used in the industry.
Blender is a free and open-source software with a growing user base and a lot of community support.
I am proficient in both software and can use them to create high-quality 3D animations.
I also have experience with other software like Cinema 4D and 3ds Max.
I rate my technical knowledge as advanced.
Proficient in 3D animation software such as Maya and Blender
Skilled in rigging and character animation
Knowledgeable in scripting languages like Python and MEL
Familiar with motion capture technology
Experienced in creating realistic textures and lighting
Constantly learning and staying up-to-date with industry advancements
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
Code a basic question and dockerize the code with instructions to run it.
I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
I applied via Company Website and was interviewed before Apr 2023. There were 3 interview rounds.
Code of work, how to run the crew and schedules.
How will I schedule work to be delivered in 5 days
DNEG India Media Services interview questions for popular designations
I applied via Approached by Company and was interviewed before Sep 2022. There were 3 interview rounds.
I applied via Referral and was interviewed before Oct 2022. There were 3 interview rounds.
Top trending discussions
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
30 easy aptitude questions.
Video analysis involves summarizing the content of a video in bullet points.
Identify key themes or topics discussed in the video
Highlight important events or moments
Note any key statistics or data presented
Summarize the main conclusions or takeaways
Include any notable visuals or graphics shown
The video showcased various examples of data analysis and visualization techniques.
Exploratory data analysis using histograms and scatter plots
Predictive modeling using regression and classification algorithms
Time series analysis for forecasting future trends
Text mining for sentiment analysis
Clustering techniques for customer segmentation
I am a recent graduate with a degree in Computer Science and a passion for data analysis and machine learning.
Recent graduate with a degree in Computer Science
Passionate about data analysis and machine learning
Experience with programming languages like Python and R
Completed projects involving data visualization and predictive modeling
Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.
Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.
They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.
Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.
The compan...
I want to join Mu Sigma because of their reputation for providing challenging and impactful data science projects.
Mu Sigma is known for working on cutting-edge data science projects with top clients
I am excited about the opportunity to work with a diverse team of data scientists and learn from their expertise
I believe Mu Sigma's focus on innovation and problem-solving aligns with my own career goals
I faced challenges in data cleaning, feature engineering, and model optimization during my projects.
Data cleaning: Dealing with missing values, outliers, and inconsistencies in the data.
Feature engineering: Creating new features from existing data to improve model performance.
Model optimization: Tuning hyperparameters and selecting the best algorithm for the problem.
Example: In a project predicting customer churn, I ha...
posted on 8 Jan 2025
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
Clustered index physically reorders the data in the table while non-clustered index creates a separate structure.
Clustered index determines the physical order of data in the table, while non-clustered index does not.
A table can have only one clustered index, but multiple non-clustered indexes.
Clustered index is faster for retrieval of data, while non-clustered index is faster for retrieval of specific rows.
Example: Clu...
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