Akshata More

Leveraged Python extensively for data cleaning, transformation, & visual representation using Pandas, NumPy, Matplotlib, & Seaborn in Jupyter Notebooks to expedite identification of critical insights. Wrote complex SQL queries to extract, filter, and join large datasets from cloud databases (e.g., MySQL, PostgreSQL), optimizing data retrieval for dashboards and ad-hoc analysis. Collaborated closely with product managers, developers, and business leads to define data requirements and deliver insights that drove data-backed decisions.

Leveraged Python extensively for data cleaning, transformation, and visual representation using Pandas, NumPy, Matplotlib, and Seaborn in Jupyter Notebooks to expedite identification of critical insights.
Wrote complex SQL queries to extract, filter, and join large datasets from cloud databases (e.g., MySQL, PostgreSQL), optimizing data retrieval for dashboards and ad-hoc analysis.
Collaborated closely with product managers, developers, and business leads to define data requirements and deliver insights that drove data-backed decisions.

Utilized DOMO tool to extract & load data, enhancing data accuracy significantly & enabling data-driven decision making. Enhanced decision-making processes by effectively organizing large datasets through the creation of interactive dashboards & implementation of data cleaning processes.

Designed and maintained interactive dashboards in to monitor production performance, defect rates, and maintenance KPIs, enabling real-time decision-making and reducing downtime by 18%. Utilized SQL to extract and clean large datasets from internal systems, enabling faster root-cause analysis and issue tracking.

Led data-driven initiatives to support manufacturing, supply chain, and quality control teams by analyzing operational data using Excel. Directed project coordination for new model launch readiness by collaborating with stakeholders, devising timelines, & monitoring progress to significantly enhance stakeholder satisfaction. Drove continuous improvement projects by analyzing historical data, detecting patterns, & recommending process optimizations, resulting in a 15% productivity boost.

Designed and automated daily, weekly, and monthly performance dashboards and reports using Advanced Excel (Pivot Tables, Power Query, VBA Macros) and SQL, improving data accuracy and reducing manual reporting time by 40%. Supported leadership in quarterly and monthly business reviews with data insights and performance summaries, contributing to a 15% increase in operational performance KPIs. Identified sales trends and operational inefficiencies through root cause analysis and ad-hoc reporting, helping increase order processing efficiency by 20%.

Designed and automated daily, weekly, and monthly performance dashboards and reports using Advanced Excel (Pivot Tables, Power Query, VBA Macros) and SQL, improving data accuracy and reducing manual reporting time by 40%.
Supported leadership in quarterly and monthly business reviews with data insights and performance summaries, contributing to a 15% increase in operational performance KPIs.
Identified sales trends and operational inefficiencies through root cause analysis and ad-hoc reporting, helping increase order processing efficiency by 20%.

Utilized DOMO tool to extract and load data, enhancing data accuracy significantly and enabling data-driven decision making.
Enhanced decision-making processes by effectively organizing large datasets through the creation of interactive dashboards and implementation of data cleaning processes.

Designed and maintained interactive dashboards to monitor production performance, defect rates, and maintenance KPIs, enabling real-time decision-making and reducing downtime by 18%.
Utilized SQL to extract and clean large datasets from internal systems, enabling faster root-cause analysis and issue tracking.

Led data-driven initiatives to support manufacturing, supply chain, and quality control teams by analyzing operational data using Excel.
Directed project coordination for new model launch readiness by collaborating with stakeholders, devising timelines, and monitoring progress to significantly enhance stakeholder satisfaction.
Drove continuous improvement projects by analyzing historical data, detecting patterns, and recommending process optimizations, resulting in a 15% productivity boost.