Results-oriented Master's Engineering graduate with 4+ years of experience as Price Prediction Manager, collaborated with a team of Data Science and Data Analyst professionals. Adept at leveraging data-driven solutions a…
Results-oriented Master's Engineering graduate with 4+ years of experience as Price Prediction Manager, collaborated with a team of Data Science and Data Analyst professionals. Adept at leveraging data-driven solutions and machine learning techniques to drive business success.
Increased monthly conversion rate from 50% to 70% in the C2B domain using Segment Analysis and Trend Analysis .
Leveraged the PowerBI dashboards feature engineered new KPIs to reduce refurbishment cost by 12% by strategically avoiding high risk units based on previous transaction data.
Implemented a classification system to distinguish loss-making units from fast sellers, optimising the inventory process.
Strong communication skills demonstrated through regular meetings with data science teams to discuss challenges, present insights, identify opportunities for improvement and forecasting models.
Leveraged SQL and Python, including libraries like Numpy, Pandas and Matplotlib to analyse previous day pricing data and identify opportunities for profit margin optimisation.
End-to-end experience in the reporting process, importing data into Power BI, and developing visually appealing reports for stakeholders.
Proficient in creating and executing business campaigns to drive marketing initiatives and enhance conversion rate.
Provided vital support to the B2C buying price prediction model and refurbishment cost prediction model, contributing to the accurate classification of market dynamics in Spain, Italy, Portugal, and Germany.
With Segment Analysis and Trend Analysis increased monthly conversion rate from 50% to 70% in C2B.
Leveraging PowerBI dashboards feature engineered new KPIs to reduce refurbishment cost by 12% by avoiding risky units from previous transaction data.
Classified regular loss making units from fast sellers and optimised inventory process.
Diligent in ensuring data accuracy by collaborating with the data engineering team, validating data integrity, and resolving discrepancies.
Strong communication skills demonstrated through regular meetings with data science teams to discuss challenges, present insights, identify opportunities for improvement and forecasting models.
Leveraged SQL and Python, including libraries like Numpy, Pandas and Matplotlib to analyse previous day pricing data and identify opportunities for profit margin optimisation.
End-to-end experience in the reporting process, importing data into Power BI, and developing visually appealing reports for stakeholders.
Proficient in creating and executing business campaigns to drive marketing initiatives and enhance conversion rate.
Supported B2C buying price prediction model and refurbishment cost prediction model, classification of lemons and plums in the market of Spain, Italy, Portugal, and Germany.
Primary and secondary research to find market gaps.
Created ETL, impactful visualization, and reports to effectively communicate key insights to stakeholders.
Collaborate with cross-functional teams to align business goals and develop strategic initiatives.
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