ANALYTICS OVERVIEW
Data Analytics Expertise and Skills
RAVEN STUDIO
This document summarizes the key data analytics skills and experience of the individual, showcasing their proficiency in various tools and techniques across the data analysis lifecycle.
Key Skills and Technologies:
- Data Visualization: Tableau, Power BI
- Data Acquisition and Manipulation: SQL
- Application Development: Power Apps, Power Automate
- Machine Learning: Decision Trees, Trends & Forecasts
- Data Orchestration: Apache Airflow
- Programming Languages: Python
- Analytics Expertise: Prescriptive Analytics, Predictive Analytics, Descriptive Analytics
Link – https://docs.google.com/presentation/d/1xpQoO5rB24IU
yDgu2VfvNmjJvmAshYRu/edit?usp=sharing&ouid=106016797669514531669
&rtpof=true&sd=true
ABOUT
Executive Summary: Data Analytics Expertise and Skills
This document summarizes the key data analytics skills and experience of the individual, showcasing their proficiency in various tools and techniques across the data analysis lifecycle.
Key Skills and Technologies:
- Data Visualization: Tableau, Power BI
- Data Acquisition and Manipulation: SQL
- Application Development: Power Apps, Power Automate
- Machine Learning: Decision Trees, Trends & Forecasts
- Data Orchestration: Apache Airflow
- Programming Languages: Python
- Analytics Expertise: Prescriptive Analytics, Predictive Analytics, Descriptive Analytics
Highlights:
- Strong foundation in data visualization: Proficient in both Tableau and Power BI, enabling clear and effective communication of data insights to diverse audiences.
- Expertise in data acquisition and manipulation: Adept at using SQL to extract, transform, and load data from various sources for analysis.
- Ability to build data-driven applications: Experience with Power Apps and Power Automate demonstrates the ability to translate insights into actionable solutions.
- Machine learning and forecasting skills: Knowledge of decision trees and trends & forecasts suggests competency in building and interpreting predictive models.
- Automation expertise: Familiarity with Apache Airflow indicates the ability to automate data pipelines and workflows, improving efficiency and scalability.
- Programming proficiency: Python skills broaden the range of data analysis tasks that can be tackled, including scripting and automation.
- Well-rounded analytical skillset: Possesses expertise in prescriptive, predictive, and descriptive analytics, enabling comprehensive data exploration and problem-solving.
Year
2023
Client
MAGICPIN
Services
ANALYTICS
Project
DATA DRIVEN DECISION MAKING
Description
Key Skills and Highlights:
- Data Visualization and Reporting: Skilled in creating insightful dashboards and reports using Tableau and Power BI, effectively communicating data insights to stakeholders.
- Data Integration and Modeling: Proficient in SQL and data manipulation techniques to extract, transform, and load data for analysis.
- Automation and Workflow Management: Experienced in using Power Apps and Power Automate to automate tasks and build data-driven workflows.
- Machine Learning and Predictive Analytics: Familiar with Decision Trees, Trends & Forecasts, Python, and various analytics techniques to build predictive models and uncover hidden patterns in data.
- Data Orchestration and Scheduling: Utilize Apache Airflow to schedule and automate data pipelines for efficient data processing.
Value Proposition:
- Drive data-driven decision making: Leverage expertise in analytics to provide actionable insights and support strategic decision-making.
- Improve operational efficiency: Automate tasks and workflows to streamline processes and reduce manual effort.
- Uncover hidden trends and patterns: Apply machine learning and predictive analytics to identify emerging trends and predict future outcomes.
- Enhance communication and collaboration: Effectively communicate data insights to stakeholders through compelling visualizations and reports.
Overall, I am a versatile data analytics professional with a proven track record of success in using data to solve business problems and drive positive change.
