Amitosh Acharya

Automated python scripts that reduces daily efforts using web scraping techniques with BeautifulSoup and Selenium libraries to extract competitive price insights in MS Excel or MongoDB collections, reducing daily manual efforts by 6 hours and improving data accuracy by 30%. Generated peer validation reports for new insights using data wrangling methods with python Pandas and NumPy libraries to perform peer analysis, resulting in a 15% improvement in project outcomes and a 20% increase in client satisfaction ratings. Transformed business strategy by conducting comprehensive competitor analysis utilizing data visualization tools, producing detailed pricing reports that led to a 10% increase in market share and a 25% boost in profit margins. Developed and implemented machine learning algorithms to analyze and extract insights from large datasets, resulting in a 20% increase in predictive accuracy. Collaborated with cross-functional teams to design and deploy scalable data pipelines, reducing data preprocessing time by 30%. Streamlined the data analysis process by implementing efficient SQL queries and optimizing database performance, saving the company time and resources. Automated data validation processes, utilizing SQL JOINS and MS Excel VLOOKUPS with conditional statements, resulting in a weekly reduction of 9 hours previously spent on manual validation activities between two databases. Produced data discrepancy reports that increased accuracy and efficiency in identifying and resolving data discrepancies, contributing to data quality and informed decision-making. Improved system compliance and achieved 90% customer satisfaction by transforming web forms to MS Excel using data import and cleaning techniques for development team.