Sakshi Talan

Recent graduate with foundational knowledge in Data analysis and hands-on experience gained through academic projects and thesis. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.

• Date of Birth: 07/12/99
• Gender: Female
• Nationality: Indian

• Google Data Analytics
• Data Science Using Python (Savitribai Phule Pune University)
• Data Science Math Skills (Duke University)

Consumer Behavior and Local Market Trends: Implications For Inventory Management In Small And Medium Enterprises (SMES)

• Conducted a comprehensive analysis of consumer behavior and market trends to optimize inventory management for small and medium enterprises (SMEs).
• Applied Python for data analysis and Tableau for visualization, providing insights into inventory needs based on consumer buying habits and market conditions.
• Developed data-driven strategies to predict demand and minimize stockouts, improving operational efficiency.
• Recommended the implementation of real-time inventory tracking and dynamic pricing strategies to adapt to shifting market trends and consumer preferences.
• Focused on customer service improvements and feedback collection to enhance consumer satisfaction and loyalty, driving better inventory management decisions.

Sales Improvement for Laptop Store Using Data Analysis

• Conducted a comprehensive data analysis to identify trends and patterns affecting sales.
• Implemented data-driven strategies to improve sales performance.
• Utilized tools like Python, SQL, and Tableau for data analysis and visualization.

Database Development for Bank

• Designed and developed a robust database system for a banking institution.
• Ensured data integrity, security, and efficiency.
• Utilized SQL and database management tools to implement and manage the database.

Dashboard Creation and Reporting for Company

• Created interactive dashboards and reports to provide business insights.
• Developed data stories to effectively communicate findings and recommendations.
• Used Tableau and Microsoft Power BI for visualization and reporting.

Deep Learning-based Image Classification Models

• Implemented and assessed deep learning-based image classification models for various applications.
• Focused on addressing challenges related to pattern recognition and analysis.
• Utilized CNN architectures to improve model accuracy and efficiency.
• Applied Python and TensorFlow/Keras for model development and evaluation.