Sahiba Bohra

Role:

• Senior Data Analyst specializing in valuations and Auction Bidding for an American car-selling client.

Responsibilities:

• Develop and refine valuation logics and sets for accurate pricing strategies.
• Analyze extensive datasets in production on SQL server ,snowflake, domo, etc including market trends, vehicle condition, mileage, brand reputation, and consumer preferences.
• Creating Extensive dashboards with large datasets in Tableau ,while also optimizing them at the dataset level using ETL tools like Tableau Prep, DBT, etc
• Monitor key performance indicators (KPIs) related to valuation accuracy and profitability.
• Collaborate with cross-functional teams to integrate valuation insights into decision-making processes.
• Regularly review valuation logics and sets to maximize profitability.

Achievements:

• Increased valuation accuracy by 15% through accuracy tracking for variance in sales and valuation.
• Achieved a 10% increase in revenue within the first quarter by deploying dynamic pricing models.
• Streamlined operations and enhanced customer satisfaction were achieved through collaborative efforts with cross-functional teams.
• Conducted comprehensive reviews, resulting in the alignment of valuation strategies with business objectives.

• Developed and maintained Tableau dashboards for construction valuations and ROI analysis
• Successfully integrated the Real Estate Analyzer into five major international client websites, leading to a 30% increase in stakeholder engagement and a 25% uptick in annual revenue.

• Engineered a comprehensive revenue analyzer for pan-India offline centers, optimizing operational efficiency by 30% and boosting overall revenue streams by 22% within half a year across prep category exams
• Proven expertise in utilizing Python, R, and Power BI, effectively integrating HR and operational data, resulting in a 40% enhancement in workforce productivity tracking and resource allocation.

• Utilized Agile Scrum methods and Tableau for sales and marketing data analysis.
• Played a key role in a Natural Language Processing (NLP) project, creating intuitive dashboards and analyzing NLP data for informed decisions.
• Created more than 70 dashboards for internal value addition and metrics tracking, giving a deep insight into the business to the stakeholders.