

A self-driven individual with well-developed analytical and communication abilities to generate data-driven solutions and eager to contribute to data management and quantitative modelling.
Offering strong analytical mindset and eagerness to learn and grow in data-centric environment. Conducts detailed data analysis while utilizing statistical software and programming languages to uncover trends and patterns. Ready to use and develop skills in SQL and data visualization in Data related role.
Core technical competencies
Languages: SQL (crucial: JOINs, CTEs, window functions), Python (Pandas, NumPy, Matplotlib/Seaborn), R
Data Visualization/BI Tools: Tableau, Power BI, Looker, Google Data Studio, Plotly
Data Manipulation & Databases: ETL processes, Data Wrangling, Data Mining, MySQL, PostgreSQL, Snowflake, Redshift, BigQuery
Advanced Excel: Pivot Tables, VLOOKUP/XLOOKUP, Power Query, Macros/VBA
Statistical Analysis: A/B Testing, Regression Analysis, Hypothesis Testing, Forecasting
Data Methodologies & Core Competencies :
Data Cleaning & Preparation
Predictive Modeling
KPI Tracking & Development
Data Modeling
Data Governance
Business Intelligence (BI)
Key Soft Skills :
Data Storytelling/Data Communication
Analytical Thinking/Critical Thinking
Problem-Solving
Stakeholder Management
Domain Knowledge