Skills - Technical expertise in data analytics and engineering
A comprehensive overview of my technical skills, tools, and technologies I work with to build data-driven solutions, analyze complex datasets, and deliver actionable insights.
Technical Skills - Technologies I work with
From programming languages to analytics tools, databases to cloud platforms, I bring a diverse set of technical skills to every data analytics and engineering project.
- Languages & Programming.
Python, SQL, R, Java, JavaScript, HTML, CSS, SAP ABAP - Data & Database Tools.
MySQL, MongoDB, PL/SQL - Analytics & Visualization.
Predictive Modelling, ETL, Power BI, Tableau, Alteryx, Excel, Data Modelling - Tools & Other Platforms.
Git, GitHub, Visual Studio, Google Collab, AWS
Core Competencies - What I bring to the table
Beyond technical skills, I bring a combination of analytical thinking, problem-solving abilities, and a passion for turning data into actionable business insights.
- Data Analysis & Modeling.
I excel at analyzing complex datasets, building predictive models, and extracting meaningful insights that drive business decisions. - Database Optimization.
I optimize query performance, design efficient data models, and ensure data integrity across integrated systems. - Collaboration.
I work effectively with cross-functional teams, business analysts, and stakeholders to translate requirements into data-driven solutions. - Continuous Learning.
I stay updated with the latest data analytics tools, machine learning algorithms, and best practices in the field. - Attention to Detail.
I ensure high-quality deliverables through thorough data validation, testing, and careful implementation of analytics solutions. - ETL & Data Pipeline Development.
I design and implement efficient ETL processes, automate data transformations, and build robust data pipelines for analytics workflows.