Nikshita Soni Email and Phone Number

Starting with basic of data science, contributed to data-driven projects, applying analytical techniques to solve real-world problems. Your role involved data preprocessing, model development, and insights generation to support business decision-making.

As a Data Analyst Industry Trainee gained hands-on experience in data analysis, including data cleaning, visualization, and reporting, while contributing to real-world projects. This role honed your analytical skills and provided insight into industry practices and workflows.

• Advanced Statistical Analysis: Utilize advanced statistical methods and tools for data exploration and insight generation.• Machine Learning Expertise: Develop proficiency in supervised (linear regression, decision trees) and unsupervised (k-means, naive Bayes) learning algorithms.• Python Programming: Enhanced Python skills with libraries like NumPy, Pandas, and scikit-learn.• Big Data Handling: Understand and work with large datasets, including distributed computing… Show more • Advanced Statistical Analysis: Utilize advanced statistical methods and tools for data exploration and insight generation.• Machine Learning Expertise: Develop proficiency in supervised (linear regression, decision trees) and unsupervised (k-means, naive Bayes) learning algorithms.• Python Programming: Enhanced Python skills with libraries like NumPy, Pandas, and scikit-learn.• Big Data Handling: Understand and work with large datasets, including distributed computing frameworks.• Real-World Project Experience: Apply data analysis and machine learning skills to solve complex problems.• Model Interpretability: Effectively communicate modelresults and implications.• Ethical Data Science: Understand and apply ethical considerations in data science, including privacy and bias.• Web Scraping: Utilize Python libraries (BeautifulSoup or Scrapy) for data extraction from websites. Show less