Megha Katiyar

Worked as Lead AI Engineer at Oxford Properties Group.

Worked as Senior BI and Data Analyst at Oxford Properties Group.

Worked as BI and Data Analyst at Oxford Properties Group.

- Understand project scope and create detailed action plans.
- Leverage Python and Power BI to create insightful visualizations that drive decision-making.
- Deploy machine learning models into APIs using Python, ensuring seamless integration and
functionality.
- Maintain continuous communication with clients to ensure project alignment and satisfaction.

- Utilized advanced Python techniques within Jupyter Notebook to streamline data extraction and manipulation, ensuring compliance with industry standards.
- Implemented sophisticated data validation processes to guarantee the integrity and reliability of extracted datasets.
- Provided comprehensive documentation and reports detailing the data extraction process, ensuring transparency and clarity f

- Leveraged Excel for exploratory data analysis (EDA), unearthing actionable insights that drove a 25% increase in customer satisfaction.
- Enhanced data integrity by streamlining cleaning and transformation processes, resulting in a 15% boost in accuracy and informed decision-making.
- Delivered findings and recommendations to key stakeholders through automated reports and dynamic dashboards, fac

- Engineered a Python-based failure detection system, enhancing product accuracy by 15%.
- Automated data analysis procedures, slashing manual workload by 80% and optimizing data processing.
- Established key performance indicators (KPIs) and metrics to refine data analysis and failure detection, resulting in a 50% decrease in error rates.
- Evaluated state-of-the-art technologies to augment data

- Led the planning and development of a robust Data Analysis Platform leveraging Tableau, AWS RDS, and AWS RedShift.
- Utilized geospatial data to enhance routing algorithms, resulting in a 30% efficiency gain.
- Fostered collaboration across cross-functional teams to deliver data-driven solutions aligned with business objectives.
- Applied quantitative analysis techniques to uncover correlations

- Evaluated cloud and data analytics providers, driving a 20% improvement in data processing efficiency.
- Engineered a recommendation engine utilizing Bayesian Personalized Ranking and Neural Collaborative Filtering techniques, resulting in a 25% increase in user engagement.

- Analyzed business requirements and developed DevOps prototypes for seamless software delivery.
- Implemented test scripts using Selenium and UFT to ensure system functionality and performance.
- Collaborated cross-functionally to ensure comprehensive test coverage and issue resolution.
- Received 'Best Performer' Quarterly award for exceptional contributions.

Jun 2021