Akanksha Mishra

VAT Compliance & Reporting Automation:

Domain: Tax Compliance & Regulatory Reporting;

Tools: Alteryx, Power BI, Python, Azure, Cursor, VS Code.

Project Description: Developed an automated system for VAT and excise tax compliance across GCC and UAE markets. The solution streamlined tax data collection, processing, and reporting while integrating an AI chatbot for real-time query responses. This innovation reduced manual efforts by ~90%, improved reporting speed and accuracy, and ensured adherence to regulatory requirements.

Roles & Responsibilities:

· Built ETL workflows in Alteryx; migrated to Less.Tech for cost optimization

· Designed data pipelines with Azure Data Factory, Data Lake, and Databricks (PySpark).

· Created dashboards for VAT trends, compliance monitoring, and predictive analysis.

· Applied ML for anomaly detection and tax pattern analysis.

· Developed AI chatbot for conversational reporting.

Recruitment & Assessment Analytics Dashboard [USA]

Domain: HR Analytics & Predictive Analytics

Tools: Power BI, SQL, Python, Machine Learning

Project Description: Developed an interactive Power BI dashboard with integrated ML models to deliver secure, real-time recruitment analytics and predictive hiring insights.

Roles & Responsibilities:

• Built Power BI dashboard with filters, slicers, KPIs, and row-level security.

• Integrated HR data via Power Query with automated refresh.

• Wrote SQL queries for data extraction, filtering, and aggregation from HR databases.

• Deployed Python ML models for predictive hiring insights.

Retail Sales & Economic Trends Analyzer Tools: Python (Pandas, NumPy, Schedule), Vscode

Roles & Responsibilities:

• Collected U.S. macroeconomic data (CPI, gas prices) via FRED API and generated synthetic retail sales data.

• Merged datasets for trend analysis with automated data quality checks.

• Built ETL pipeline with batch and near real-time scheduling, exporting CSV outputs.

Worked in Python (Jupyter Notebook) for data extraction, manipulation, univariate/bivariate analysis, preprocessing, and ML model implementation.