Data Analyst Power Bi

Khushali Modi

Data Analyst

Piscataway, NJ +1-93-797*-**** ********.******@*****.***

SUMMARY

• Experienced data analyst with 3+ years of expertise in utilizing various methodologies such as Software Development Life Cycle, Agile, and Waterfall to drive data-driven projects and deliver actionable insights.

• Proficient in programming languages such as Python, SQL, and SAS, with strong skills in data manipulation and analysis packages like NumPy, Pandas, Matplotlib, SciPy, Seaborn, TensorFlow, etc., to extract insights from complex datasets.

• Familiar with cloud technologies including AWS, Azure, GCP, and DataBricks for efficient data storage, processing, and analytics, ensuring scalable and accessible data solutions.

• Adept at creating compelling visualizations with tools such as Tableau, Power BI, and Excel to effectively communicate data findings to stakeholders and enhance decision-making processes.

• Well-versed in managing databases such as MySQL, SQL Server, MongoDB, and PostgreSQL to ensure data integrity and availability, with version control skills in Git, GitHub, and GitLab for collaborative development and project tracking. SKILLS

Methodologies: SDLC, Agile, Waterfall

Programming Language: Python, R, SQL, SAS

IDE’s: PyCharm, Jupyter Notebook, Visual Studio Code Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, ggplot2, Seaborn, TensorFlow

Cloud Technologies: AWS, Azure, GCP, DataBricks

Visualization Tools: Tableau, Power BI, Microsoft Excel Databases: MySQL, SQL Server, MongoDB, PostgreSQL

Version Control: Git, GitHub, GitLab

Other Skills: Data Cleaning, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving

Operating System: Windows, Linux, Mac

EXPERIENCE

Motorola Solutions, IL (Remote) Sep 2023 - Present Data Analyst

• Applied Agile methodologies to manage data analysis projects, achieving a 20% reduction in project delivery times while enhancing team collaboration and productivity.

• Exploited Python and SAS for data manipulation and statistical analysis, leveraging libraries including NumPy, Pandas, Matplotlib, and SciPy for in-depth analysis and visualization, while developing machine learning models with TensorFlow to identify patterns and predict outcomes.

• Leveraged cloud technologies such as AWS and GCP for efficient data storage and processing, resulting in a 30% increase in scalability and accessibility of data solutions.

• Industrialized interactive dashboards and visualizations in Tableau, effectively communicating key metrics and insights to stakeholders, which improved strategic planning and contributed to a 15% increase in data-driven decision-making.

• Accomplished databases, including MySQL, SQL Server, and PostgreSQL, to ensure data integrity and availability for analysis, facilitating accurate reporting.

• Utilized GitHub for version control and collaborative development, enhancing project tracking and team productivity.

• Implemented thorough and systematic data cleaning processes to ensure the integrity and quality of datasets, which significantly enhanced the accuracy and reliability of subsequent analyses and reports. Auto Desk, Bangalore, India Jun 2019 - Jul 2021

Jr. Data Analyst

• Conceptualized Waterfall methodologies to accomplish data analysis projects, ensuring structured timelines and clear deliverables, resulting in on-time project completion.

• Established in R and SQL for data manipulation, analysis, and querying, enabling the extraction of valuable insights from diverse datasets that informed strategic decision-making and led to a 25% improvement in operational efficiency.

• Leveraged ggplot2 to create detailed visualizations, effectively communicating trends and patterns to stakeholders and enhancing data-driven decision-making.

• Controlled with cloud platforms like Azure and DataBricks for scalable data processing and storage solutions, ensuring efficient access to large datasets.

• Developed interactive dashboards and reports using Power BI and Microsoft Excel, facilitating clear communication of key metrics and performance indicators to business units.

• Managed and analyzed data in MongoDB to ensure data integrity and accessibility, utilizing Git for version control to enhance collaboration and track changes, resulting in a 30% reduction in version-related errors.

• Hired data wrangling techniques to clean and preprocess data, improving analysis quality and achieving a 40% reduction in data preparation time while deriving actionable insights that contributed to a 20% increase in revenue. EDUCATION

MS in Information Technology Management May 2024

Campbellsville University, Louisville, KY

Bachelor in Microbiology Jun 2021

Sangai International University, Manipur, India

CERTIFICATIONS

Microsoft Certified: Data Analyst Associate

IBM Data Analyst Professional Certificate

Contact this candidate