Data Anlyst

Sparsh Agarwal

Bleecker street, Toronto, ON, M*X*A2 +1-647-***-**** ***************@*****.*** LinkedIn Summary

Analytical and detail-oriented Data Analyst with a strong background in developing and optimizing data-driven solutions. Proven ability to enhance business processes through data analysis and insights. Proficient in Python, SQL, and Java, with experience in data visualization tools like Tableau and Power BI. Adept at collaborating with cross-functional teams to deliver actionable insights and improve decision-making. Committed to leveraging technical expertise to drive data accuracy, user engagement, and operational efficiency.

Skills

Data Analysis & Visualization: Python, R, SQL, Tableau, Power BI Programming Languages: C/C++, Python, Java, Bash Shell Scripting Database Systems: Oracle, SQL, PostgreSQL, MongoDB, DynamoDB Data Manipulation & Processing: Pandas, NumPy, Excel, ETL Web Development: JavaScript, HTML5, CSS3, React.js, Bootstrap Operating Systems: Windows, Linux, Unix, MacOS

Version Control: Git, GitBash

Methodologies: Agile, Behavior-Driven Development

Tools: MS Office, Visual Studio, Visual Studio Code, Jupyter Notebook Education

Computer Programming and Analysis Graduation, Apr 2024 Seneca College, Toronto, ON

Bachelor of Computer Science, Jun 2020

Silver Oak University, Ahmedabad, India

Work Experience

SCOTIA BANK Data Analyst Remote, Canada Mar 2022 – Mar 2023

Utilized SQL and Python for deep analysis of complex datasets, extracting insights to drive strategic decisions.

Applied advanced SQL queries and Python scripting to manipulate, clean, and transform data, ensuring accuracy and reliability.

Designed interactive dashboards using Power BI to visualize key metrics and trends, enabling data-driven decision-making.

Enhanced Power BI techniques for intuitive presentations of complex data, improving usability and stakeholder engagement.

Collaborated with cross-functional teams to understand data requirements and deliver customized reports and dashboards using Power BI that met business needs.

Engaged stakeholders to gather feedback on visualizations, iteratively improving dashboards for enhanced usability and relevance.

Implemented robust data cleaning and preprocessing techniques using Power BI to maintain data integrity and consistency.

Automated ETL processes using Python, Power BI, enhancing operational efficiency to ensure timely updates for ongoing analysis.

Applied data mining techniques and machine learning algorithms within Power BI to uncover patterns and trends, supporting strategic decision-making and business optimization. BUFFINDIA RECEPTACLES PVT LTD Data Analyst Ahmedabad, India Jan 2020 – Dec 2020

Designed and developed data collection and reporting systems to track environmental sustainability metrics, integrating data from multiple sources for comprehensive and accurate tracking.

Utilized SQL and Python to analyze large datasets related to cigarette waste collection and recycling efforts, identifying trends and patterns to inform strategic initiatives.

Created interactive dashboards using Tableau to visualize key performance indicators and trends, enabling stakeholders to monitor and understand data effectively.

Designed dynamic Tableau dashboards presenting real-time waste collection metrics data.

Implemented filters and parameters in Tableau to enable customized views and drill-down into specific data points.

Conducted exploratory data analysis (EDA) using Python and Tableau to identify process improvement opportunities, achieving a 15% increase in operational efficiency.

Collaborated with stakeholders to develop data-driven strategies for reducing the environmental impact of cigarette waste, presenting insights through detailed Tableau visualizations.

Implemented data quality checks and validation procedures using Python scripts and Tableau data validation features to ensure accurate and consistent data for analysis and reporting.

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