ABHINANDA GHOSH

Dedicated and results-driven Data Scientist with 7+ years of experience in global market research and consumer intelligence. Proven expertise in predictive analytics, business intelligence, and strategic product enhancements that drive measurable business growth. Skilled in leading cross-functional teams and delivering complex projects both independently and collaboratively with diverse stakeholders. Adept at analyzing market trends, navigating regulatory environments, and cultivating strong client and partner relationships. Recognized for leveraging advanced project management skills- from requirements gathering to milestone-based execution and issue resolution- to consistently exceed organizational goals and deliver validated, high-quality insights.

• Data Sources: Snowflake, Oracle SQL Server, Sharedrive
• Programming Languages: Python (Pandas, Numpy, Scikit-Learn), SQL, SAS
• Data Visualizations: Microsoft Power BI, Tableau, Figma, Python (Matplotlib, Seaborn, Plotly)
• Data Exploration: Microsoft Excel, Microsoft PowerPoint, Jupyter Notebook, Spyder, Visual Studio, QGIS, Google Earth, Microsoft Visio
• Machine Learning Algorithms: KNN, Clustering (K-Means), Regression, Classification
• Statistical Techniques: Sampling Theory, Correlation, P-Values, Normal Distribution, Coefficient of Variation, Standard Deviation, R-Square, ANOVA, Standard Error, Interquartile Range (IQR)

• Team building
• Innovative in thought and solutions
• Strong leadership skills
• Excellent Operational Skills

• PGPBM (Business Analytics), Praxis Business School, Kolkata, India, 2018
• Bachelor of Technology (Information Technology), MAKA University of Technology, Kolkata, India, 2015

• Developed dynamic Power BI dashboards to visualize comprehensive market overviews across multiple demographic and market segmentation levels. The solution enabled identification of performance gaps and emerging trends at granular levels, resulting in a 30–40% improvement in response time to client queries and supporting data-driven product enhancement strategies.
• Architected and deployed scalable automation solutions leveraging (in Python language) to streamline complex statistical processes such as sampling design, universe estimation, and extrapolated projection—achieving a 75% reduction in manual workload and enhancing analytical throughput. • Acted as the Single Point of Contact for the South Africa Product Design & Enhancement team, leading the Traditional Trade Reinvention (TTR) Product Enhancement initiative—successfully driving the strategic transition of 90% of the Liquor Audit Panel to a more representative TTR Vendor Stores Panel, enhancing data relevance and market alignment.
• Developed and institutionalized KPI frameworks for associate performance, driving a 45% improvement in goal alignment and a 40% uplift in employee engagement scores within a year. Enabled strategic decision-making and accountability through real-time tracking dashboards, significantly enhancing operational transparency and team productivity.
• Led the deployment of Digital Store Count Methodology in South Africa, replacing the Country Population-based model as the team's Single Point of Contact.
• Recognized by Global Leadership and key clients for enhancing Coke’s Beverage Index data quality through back trend methodology, resulting in a validated and widely accepted dataset.
• Over the past 2.5 years, proactively identified and addressed challenges in the RRES Field Work Process for the South Africa market. Led initiatives in close collaboration with functional leadership across departments, resulting in sustained improvements in data quality for the region