Proficient in various SQL statements, data manipulation, and ensuring data control and security through access privileges and constraints.
Experienced in Python syntax, data analysis, visualization, and machine learning using libraries like NumPy, Pandas, scikit-learn, and TensorFlow.
Proficient in statistical analysis, hypothesis testing, regression analysis, and exploratory data analysis for deriving meaningful insights from data.
Strong foundation in regression, classification, and clustering techniques, with hands-on experience in building and evaluating machine learning models.
Proficient in Tableau for transforming complex datasets into compelling visual representations and extracting valuable insights.
Skilled in GitHub for version control, creating and managing repositories, branching, merging, and resolving conflicts.
Proficient in conda environments for managing software dependencies and creating isolated development environments.
Experienced in various Integrated Development Environments for enhanced productivity, code auto-completion, syntax highlighting, debugging, and version control integration.
Projects
Case Study - 1
Danny's DinerCase Study - 2
Pizza RunnerCase Study - 3
Foodie-Fi Subscription PlatformAdvanced Python
Data WranglingAdvanced Python
Guessing GameAdvanced Python
Prime Numbers FinderEducational Qualifications
Collaborative Skills
From Mentors/Supervisors
Completed Projects
Testimonials
I've had a pleasure mentoring Pradeep in his data science journey at Data to Production. I am incredibly impressed with his dedication and passion for Data Science. His commitment to learning and growing in this rapidly evolving field is evident, and I have no doubt that he will achieve great things!
I worked with Pradeep at Data to Production where he handled Marketing Analytics. I recommend Pradeep for all Analytics roles and he will be a great fit!
PC's amazing affection in Data Domain is a blend of his curious mind and creative ideas. He holds a very good command in analytics and has expertise in all the relevant tools required.