Experience

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  V s jadon & co. valuers llp

  Aug 2018 - Mar 2023

  Data Cleaning and Analysis: Led a team of analysts in performing real estate and project finance valuations, using Python and R for advanced data preprocessing, feature engineering, and automation, improving valuation accuracy by 28% and reducing reporting time by 20%.Predictive Modeling: Developed and implemented data-driven valuation models, including machine learning techniques, which enhanced asset valuation accuracy by 28% and achieved a 22% increase in forecast precision.Data Visualization: Designed and implemented interactive Tableau and Power BI dashboards, improving reporting efficiency, enabling real-time insights, and reducing report generation time by 35%, thus driving a 30% increase in case volume.Financial Modeling and Reporting: Developed detailed financial models and reports using MS Excel, improving decision-making efficiency by 30%. Delivered strategic insights through presentations that boosted client satisfaction by 15%, leading to stronger client relationships.Strategy Development and Implementation: Conducted market research for a mixed-use development project, improving ROI by 10% through revised strategies, and collaborated with cross-functional teams to execute data-driven valuation strategies, boosting operational efficiency by 20%.Client Engagement: Delivered actionable insights and strategic recommendations through presentations to senior management and clients, improving client relationships and satisfaction by 15% and driving both revenue growth and repeat business. Show less Data Collection and Cleaning: Supported senior data scientists in collecting, cleansing, and analyzing large-scale real estate valuation datasets using Python, ensuring data accuracy and consistency, which contributed to the reliability of reports and valuation accuracy.Model Development: Assisted in the development and implementation of predictive models for asset valuation and forecasting, enhancing the team’s predictive capabilities and improving asset valuation reliability.Process Improvement: Collaborated with the IT team to enhance data storage and retrieval processes, streamlining data management and accessibility. Integrated Python-based automation scripts, reducing manual reporting efforts by 20%.Data Preprocessing and Automation: Contributed to process automation initiatives, including data preprocessing and cleaning tasks for large datasets, which improved overall workflow efficiency and laid a strong foundation for real estate data analysis.Strategic Analysis: Assisted in crafting valuation strategies based on market demand and emerging trends, strengthening my foundation in real estate data analysis and supporting team efforts to align with market opportunities. Show less

  • Senior BI Analyst & Team Leader

    Apr 2020 - Mar 2023

  • Business Data Analyst

    Aug 2018 - Mar 2020
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  Compsource

  Jul 2023 - Jun 2024

  Data analyst ii

  Data Integration and Optimization: Gathered and integrated data from multiple sources, optimizing SQL and Python scripts, which enhanced the data pipeline efficiency by 33% and improved insights for decision-making.Data Cleaning and Standardization: Cleaned and standardized data from five different sources into PostgreSQL, boosting data accessibility by 26% and ensuring consistency across systems, which contributed to more accurate reporting.Sales Strategy Development: Developed regression-based strategies, leading to a 25% increase in sales by delivering actionable insights for business decisions, enhancing revenue-generating opportunities.Custom Metrics and Data Analysis: Created over 10 custom metrics and utilized Python (NumPy, Pandas, Seaborn, Matplotlib) for data cleaning and analysis, improving database quality and reporting accuracy.Data Visualization and Reporting: Built dynamic Tableau dashboards to visualize key performance indicators (KPIs), enabling stakeholders to make data-driven decisions, enhancing business performance and operational alignment.Cross-Functional Collaboration: Collaborated closely with cross-functional teams to translate business requirements into effective data-driven solutions, ensuring alignment with organizational goals and improving overall project success.Process Automation: Automated data extraction and reporting processes, reducing time-to-insight and significantly improving operational efficiency across teams.Data Quality Assurance: Ensured data accuracy and integrity through robust data validation and quality checks, maintaining high-quality datasets that supported accurate decision-making. Show less