data analyst internship | Creative Hr Solutions

data analyst internship discription:

As a result, Creative HR Solutions is recruiting a passionate Data Analyst in Bengaluru. This role provides an excellent opportunity to build a career in Data Analytics / Business Intelligence for candidates irrespective of whether they are beginners in the field or have prior work experience.

data analyst internship Details:

Company Name: Creative HR Solutions
Location: Bengaluru, India
Salary Range: 2-4 LPA
Experience Required: 0 – 2 years
Openings: 1
Posted: 3 days ago
Applicants: 8005
Employment Type: Full-Time, Permanent
Industry: IT Services & Consulting
Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics

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Required Qualifications & Skills Education:

Educational Background: Bachelor’s degree in Computer Science/Engineering, Master’s or PhD in ML/AI or related degree.
Technical Skills:
A good grasp of new and old trends in Computer Vision such as YOLO, Speed/FasterRCNN, Vision Transformer, and BLIP among others.
Experience in working with Machine learning algorithms and Deep Learning with special reference to Computer Vision.
Expertise in Python programming.
Experience with Machine
Learning frameworks: Tensorflow, Pytorch, Keras.
Working knowledge with the tools used in handling data such as Pandas and NumPy.
Other Skills:
Good problem-solving and analysis skills are required.
An effort to work and communicate with different people and in different functional areas.
Passion of desire to know the new developments in Machine Learning and Computer Vision.
Good individual working capability with an emphasis on taking responsibility as well as being a contributor to the project.
Demonstrates teamwork while being sensitive to other team member’s strengths and weaknesses.

Key Responsibilities:

Build, run, and improve models and algorithms for Object detection and more Computer Vision tasks.
Coordinate well with other departments namely; Software engineer, product managers, Technical artists to ensure the solution developed meets the needs of the project.
Self-learn or enroll yourself in relevant courses to understand different aspects and advancement techniques in Machine Learning and Computer Vision.
Models should be analyzed and compared to identify necessary corrections and how to enhance the model’s accuracy as well as efficiency.
Technical as well as non-technical stakeholders’ documents and present the progress, understanding, and results achieved.

Key Skills for Data Analyst Role:

Data Analytics:
Having skills in data analysis and interpreting capabilities.
Knowledge in the application of tools and methods in data analysis and the ability to get decision-making information.
High level of problem solving as far as data relative issues and trends are concerned.
Data Science: Knowledge and appreciation of statistics techniques and algorithms applied in data science.
Candidates with an understanding of machine learning models and data prediction models.
The knowledge of how data is processed and methods of manipulating data.
Data Analysis:
Expertise in data cleansing and data preprocessing so as to make the data as accurate as possible.
Knowledge in the analysis of data trends and patterns with a view of arriving at certain decisions.
Ability to generate and explain the results in form of charts and graphs.
Technical Skills:
Understanding of data visualization tools like Power BI, Tableau or other such tools if used at the workplace.
Fluency in the languages for programming including Python, R or others used for the analysis of data.
Some basic
understanding of the structured query language or SQL for query of databases and management of data.
Communication:
A robust skill to present technical findings in a manner that is intelligible by both data analytical specialists and business end-users.
Presentations capable of clearly and concisely presenting the findings and the proposed recommendations as well.
Attention to Detail:
Ensuring the correctness and the coherence of data is always met with great care.
Data Profiling: Possibility of detecting outliers and dramatic (positive or negative) deviations from the mean in the sets of data.

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