Data scientist
Summary
Led and managed the data science team, planning projects and building analytical models
Collaborated with cross-functional teams to identify key business questions and data needs, translating them into actionable analytical projects.
Conducted data collection, cleaning, and transformation to ensure data quality and reliability, utilizing tools such as Python, and data wrangling libraries.
Performed exploratory data analysis (EDA) to uncover patterns, trends, and insights, presenting findings through data visualizations and reports using Tableau and matplotlib.
Built predictive models for customer churn using machine learning techniques like regression, decision trees and achieved an increase in performance metrics of accuracy by 15%.
Conducted A/B tests to assess the impact of specific changes resulting in a 10% increase in user engagement.
Assisted in the development of automated data pipelines, reducing data processing time by 30%.
Collaborated in the creation of weekly, monthly, and ad-hoc reports for senior management, offering data-driven recommendations for cost optimization, revenue growth.
Participated in data governance initiatives to maintain data integrity, compliance, and security, including GDPR and HIPAA regulations.
Implemented reinforcement learning algorithms for optimization problems, resulting in a 20% reduction in operational costs.
Expectations
Looking for growth and to lead a team with meeting deadlines with dedicated support and efforts
Employment Preferences
Expected Base Salary
*,*00,000 INR
Expected Hourly Rate
**,000 INR/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Enterprise Experience
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