Analytics Practitioner

Project Role : Analytics Practitioner
Project Role Description : Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : Any degree in computer science

Summary: As an Analytics & Modeling Practitioner, you will be responsible for driving innovation and intellectual property (IP) around specific analytics models and offerings. Your typical day will involve working with Python, performing data analysis and modeling to extract insights and patterns from large data sets. Roles & Responsibilities: - Lead the development and deployment of advanced analytics models using Python and associated libraries like Pandas, NumPy, and Scikit-learn. - Conduct detailed analysis of complex data sets, employing statistical methodologies and data modeling techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. - Collaborate with cross-functional teams, applying expertise in diverse analytics algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. - Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage, including experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python. - Good To Have Skills: Experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in implementing various analytics algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data modeling techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Python. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.