Arpit Saxena

The purpose of developing and Formulated this indicator is to identify patterns, trends, or potential opportunities in the market that can be leveraged for automated trading strategies. Help me determine entry or exit points, manage risk, and optimize my trading strategies and profit margin gain up-to 10 to 15 percent of my portfolio.

Clean the data by handling missing values, outliers, and duplicates. Ensure data quality by addressing missing values, outliers, and inconsistencies.

Python Data Analyst with a solid background in data manipulation, analysis, and visualization. Skilled in utilizing Python programming and relevant libraries, including Pandas, NumPy, Matplotlib and TensorFlow to extract valuable insights from complex datasets. Write complex SQL queries to extract, transform, and analyze data from multiple sources. Utilize Python and data analysis libraries to collect, clean, and preprocess data from various sources. Perform exploratory data analysis to identify trends, patterns, and anomalies in datasets. Design and implement machine learning models for predictive or classification tasks. Excellent problem-solving skills and ability to work with large datasets.

Worked on internal tool for machine learning model and using thoroughly project guideline, Where work on Product Identification for advance machine learning for specific product and services for Google. Collect historical sales data, including quantities sold, timeframes, and product categories.

Worked on machine learning model using internal tools and strategy. Perform quality assurance checks to ensure accuracy, consistency, and completeness of content data. Optimize content search and retrieval processes to improve user experience and discoverability.