Python Developer

• Responsibilities: - Develop and maintain data pipelines for collecting, processing, and analyzing large volumes of data. - Apply statistical and machine learning techniques to build predictive models and algorithms. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Clean, preprocess, and wrangle raw data to ensure data quality and integrity. - Conduct exploratory data analysis to identify trends, patterns, and anomalies. - Create visualizations and reports to communicate findings and insights effectively. - Develop and optimize Python scripts and code for data manipulation, transformation, and analysis. - Utilize Excel for data manipulation, analysis, and reporting purposes. - Stay updated with the latest advancements in data science, machine learning, and Python development.

• Requirements: - Minimum Exp. 2-3 years - Proven experience as a Data Scientist or Python Developer, with a strong focus on data analysis and machine learning. - Proficiency in Python programming and libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, or PyTorch. - Hands-on experience with data visualization tools like Matplotlib, Seaborn, or Tableau. - Solid understanding of statistical concepts and techniques for hypothesis testing, regression, clustering, and classification. - Strong analytical and problem-solving skills, with the ability to work independently and in a team environment. - Familiarity with Excel functions, formulas, and data manipulation techniques.

Key Skills

• Python