to join our team and contribute to real-world data-driven projects. You will collaborate with experienced data scientists, engineers, and analysts to gather, clean, and analyze large datasets, build predictive models, and generate actionable insights that help drive business decisions.
Key Responsibilities
Assist in
data collection, cleaning, and preprocessing
for analytical or machine learning projects.
Support in building, evaluating, and deploying
predictive and statistical models
using Python/R.
Conduct
exploratory data analysis (EDA)
to identify patterns, trends, and insights.
Work with large datasets and tools like
SQL, Pandas, and NumPy
to extract meaningful insights.
Collaborate with team members to design and test
machine learning algorithms
.
Present findings through
data visualization tools
such as Power BI, Tableau, or Matplotlib.
Document methodologies, findings, and model performance.
Required Skills & Qualifications
Currently pursuing or recently completed a
Bachelor's or Master's degree
in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Basic understanding of
machine learning concepts and algorithms
(e.g., regression, clustering, classification).
Proficiency in
Python or R
and familiarity with data libraries (NumPy, Pandas, Scikit-learn, Matplotlib, etc.).
Experience with
SQL
for data extraction and manipulation.
Good analytical, problem-solving, and communication skills.
* Curiosity and a passion for working with data to solve real-world problems.
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