Senior Data Analyst | Business Intelligence & Statistical Modelling Specialist

Strategic Data Analyst with 2+ years of professional experience in transforming raw, complex data into high-impact business solutions. I specialize in the end-to-end data lifecycle—from sophisticated ETL (Extract, Transform, Load) processes and database management to advanced statistical analysis and executive-level visualization.

With a Google Advanced Data Analytics Certification and a background in Computer Science, I build robust data frameworks that allow organizations to identify patterns, mitigate risks, and optimize operational efficiency. My approach combines technical precision with a deep understanding of market dynamics and quantitative research.

Core Expertise
1. Advanced Data Engineering & ETL
Data Architecture: Designing scalable data models and managing relational databases using SQL (PostgreSQL, MySQL, Big Query).

Automated Pipelines: Developing Python-based scripts to automate data collection, cleaning, and integration, reducing manual processing time significantly.

Data Governance: Ensuring data integrity and security through rigorous validation and cleaning protocols.

2. Strategic Business Intelligence (BI)
Custom Dashboard Development: Creating intuitive, interactive visualizations in Power BI, Tableau, and Looker Studio that simplify complex multi-dimensional datasets.

KPI Frameworks: Defining and tracking mission-critical metrics that align with long-term organizational goals.

Exploratory Data Analysis (EDA): Uncovering hidden trends and correlations that drive competitive advantages.

3. Quantitative & Statistical Analysis
Predictive Modelling: Utilizing Python (Sci kit-learn, Pandas) to build forecasting models and trend projections.

Statistical Testing: Applying hypothesis testing, regression analysis, and probability modelling to validate business strategies.

Market & Financial Intelligence: Analyzing large-scale datasets to extract actionable insights in fast-moving environments.

Technical Stack
Programming: Python (Expert), SQL (Advanced), R.

BI & Visualization: Power BI, Tableau, Excel (VBA/Macros), Google Data Studio.

Data Science Tools: Jupyter Notebooks, NumPy, Pandas, Matplotlib, Seaborn.

The Professional Standard
2 Years of Proven Impact: A track record of delivering clean, actionable data solutions for complex projects.

Advanced Certification: Trained in Google’s professional data workflows, ensuring global industry standards.

Clarity in Communication: Expert at translating technical findings into clear, strategic recommendations for stakeholders.