Sanskar Chaurasia Email & Phone Number

Gurugram, Haryana, India

Gurugram, Haryana, India

− Proficiently crafting engaging data visualizations with Matplotlib and Seaborn for effective data communication.− Created Python-based web scraping scripts to integrate diverse data sources for comprehensive analysis.− Actively collaborating in optimizing MySQL databases, enhancing efficiency in data storage and retrieval.− Applying machine learning techniques to build predictive models, driving data-driven decisions for better outcomes.

Naraini, Uttar Pradesh, India

− Managed daily operations, finances, and inventory for ”M/S SAYANE ENTERPRISES” specializing in Tiles/Sanitaryware.− Implemented debt recovery system, mitigating losses by tracking and following up on outstanding payments.− Developed growth strategies, initiated promotions, and optimized inventory, enhancing market presence and profitability.− Adapted from engineering to business management, showcasing resilience and strong decision-making skills.

Lucknow

− Performed data cleaning, transformation, and visualization to bolster decision-making and inform data-driven strategies.− Designed predictive models with Python and SQL, optimizing resource allocation and operational efficiency.− Collaborated with teams, interpreting complex data to present actionable insights, driving data-centric initiatives.

Banda, Uttar Pradesh, India

− Created dynamic data visualizations using Matplotlib and Seaborn, enhancing data comprehension and presentation.− Conducted Exploratory Data Analysis (EDA) and Multivariate Analysis (MVA) to extract valuable insights and patterns.− Assisted in MySQL database administration, optimizing performance and ensuring data integrity for efficient operations.

Lucknow, Uttar Pradesh, India

− Designed and maintained MySQL databases, ensuring efficient storage and retrieval of extensive datasets.− Developed and optimized SQL queries to seamlessly extract, manipulate, and manage data within the databases.− Conducted comprehensive data cleaning and preprocessing tasks using Python to significantly enhance data quality.− Utilized NumPy and Pandas for in-depth statistical analysis and advanced data modeling, yielding actionable insights.