Highly skilled Data Analyst with 3 years of experience leveraging data-driven insights to support strategic business decisions. Proficient in database management (MySQL, PostgreSQL, SQL Server), advanced data visualization (Tableau, Power BI), and statistical analysis techniques (regression, hypothesis testing, predictive modeling). Experienced in data cleaning and transformation (ETL processes, Python), and data modeling (R). Demonstrated ability to identify and interpret complex data patterns, providing actionable recommendations to drive organizational growth and efficiency. Strong communicator, adept at presenting data findings to both technical and non-technical audiences.
Overview
5
5
years of professional experience
Work History
DATA ANALYST/POWER BI
SUCCESS TECH SOLUTIONS INC.
07.2023 - Current
Conducted comprehensive data analysis using SQL and Python to identify trends, patterns, and correlations in sales and customer datasets, providing actionable insights
Developed and maintained dynamic dashboards with Tableau and Power BI to visualize key performance metrics, enhancing decision-making for stakeholders
Built predictive models using Python and machine learning algorithms to forecast sales and customer behaviors, improving customer retention by 15% through targeted strategies
Optimized data extraction and analysis processes with SQL, reducing reporting time by 20% and delivering timely business insights
Created advanced DAX formulas to support dynamic data calculations and aggregations in Power BI dashboards
Designed and implemented end-to-end ETL processes to integrate data from diverse sources into data warehouses or analytical systems
Collaborated with cross-functional teams to define data needs and ensure data integrity across multiple databases, including SQL Server and SAP
Proficient in writing complex SQL queries to retrieve and manipulate data from relational databases, including sub queries, joins, and aggregations
Utilized DAX to optimize data models for efficient querying and improved performance in Power BI reports
Automated data collection processes using Python scripts and ETL tools, saving 10 hours of manual labor weekly and increasing workflow efficiency
Implemented data warehousing solutions and managed cloud data storage on AWS, enhancing data accessibility and system performance
Performed advanced statistical analysis with R, providing in-depth insights and supporting data-driven decision-making
Leveraged big data technologies such as Hadoop and Spark to efficiently process and analyze large datasets
Designed and executed ETL processes to streamline data extraction, transformation, and loading, enhancing data quality
Managed data integration and migration projects, ensuring seamless data flow and minimizing downtime
Trained team members on using Tableau and Power BI, and established best practices in data analysis, boosting team productivity and fostering a data-driven culture
Enhanced cloud-based data storage and processing solutions using AWS, Azure, and Google Cloud, improving scalability and performance
DATA ANALYST/POWER BI
SLESHA INC.
01.2023 - 07.2023
Supported data cleaning and transformation efforts with ETL processes and tools like Microsoft Power Query and Python, ensuring data accuracy and consistency for analysis
Developed comprehensive reports and presentations with Excel and PowerPoint, incorporating data visualizations and key metrics to present findings to management
Leveraged DAX to perform in-depth data analysis, enabling the creation of comprehensive and insightful reports for stakeholders
Conducted statistical analysis with R to enhance marketing campaigns, resulting in a 10% improvement in campaign performance through targeted, data-driven strategies
Created dynamic dashboards with Tableau and Power BI to visualize data insights, track key performance metrics, and support strategic decision-making
Oversaw and maintained database systems, including MySQL, PostgreSQL, and Microsoft SQL Server, ensuring data security and adherence to company policies
Assisted in developing and automating data pipelines using tools like Apache Airflow and Databricks, enhancing data accessibility and workflow efficiency
Performed A/B testing and experimental designs to optimize website performance, leading to a 5% increase in conversion rates by identifying effective changes
Evaluated customer feedback and survey data using statistical methods to pinpoint areas for product enhancement and customer satisfaction improvement
Created and executed data validation frameworks with Python and SQL to enhance data quality and reliability, ensuring accurate insights
Built personalized scripts to automate data processing tasks using Python and R, reducing manual workload by 30% and freeing up time for strategic initiatives
Collaborated with the IT department to identify and resolve data-related challenges, ensuring seamless data operations and integration across systems
Implemented data integration solutions for merging disparate data sources using tools like Talend and Microsoft Azure Data Factory
DATA ANALYST
BHILVA TECH SOLUTIONS
01.2020 - 07.2021
Supported the data analytics team in collecting, cleaning, and analyzing extensive datasets for diverse projects, ensuring data accuracy and readiness for analysis
Assisted in creating dashboards and reports using Tableau to visualize crucial performance indicators, aiding in data-driven decision-making
Conducted market research and competitor analysis to bolster business development strategies, providing valuable insights into market trends and competitive positioning
Utilized SQL to query databases and generate tailored reports for senior management, streamlining access to key business metrics
Played a role in designing and implementing data collection systems, resulting in a 15% improvement in data accuracy and efficiency
Contributed to documenting data analysis processes and methodologies for future use, ensuring consistency and reliability in data handling practices
Developed Python scripts to automate data extraction and preprocessing, enhancing data handling efficiency and reducing manual workload
Assisted in crafting data models aimed at predicting customer behavior, facilitating strategic planning efforts, and supporting targeted marketing initiatives
Collaborated closely with marketing and product teams to ensure data insights aligned with business objectives, driving informed decision-making across departments
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