Data Analyst Power Bi

Rohan Darji

+1-341-***-**** **************@*****.***

PROFESSIONAL SUMMARY

Experienced Data Analyst with 3+ years of expertise in leveraging Python (NumPy, Pandas, Matplotlib) and R (ggplot2) for data collection, cleaning, modeling, and visualization. Proficient in SQL, MySQL, SQL Server, and utilizing BI tools like Tableau and Power BI for impactful data storytelling. Skilled in the entire Software Development Life Cycle (SDLC) using Agile and Waterfall methodologies. Demonstrated ability to drive data-driven decision-making by analyzing large datasets, extracting actionable insights, and presenting results on various platforms.

EDUCATION

Master of Science in Computer Science, California State University East Bay Aug 2022- May 2024 Bachelor of Engineering in Computer Engineering, Gujarat Technological University Aug 2018 – June 2022 TECHNICAL SKILLS

• Programming Language: C#, Java, Python, R, C++, Java

• Methodologies: SDLC, Agile, Waterfall, Scrum

• Cloud Computing: AWS, Azure, Google Cloud

• Tools: Tableau, Qlik, Power BI, MS Excel, JIRA

• Database: MySQL, NoSQL, Google Big Query, Google Analytics, DB2, MS SQL Server, SAS, SSRS

• Operating Systems: Windows, Linux

PROFESSIONAL EXPERIENCE

Data Analyst, Systel Inc– USA May 2023 – Aug 2023

• Conducted in-depth analysis of supply chain datasets using Python (Pandas, NumPy) and SQL, identifying patterns that resulted in a 10% improvement in operational efficiency.

• Automated ETL pipelines for data integration from disparate sources into centralized repositories, reducing manual intervention by 30%.

• Partnered with stakeholders to design and implement predictive models using R, providing actionable insights for demand forecasting and inventory planning.

• Improved data visualization processes by creating dynamic dashboards in Tableau and Power BI, leading to a 25% increase in stakeholder engagement and decision-making speed.

• Standardized data quality checks by developing automated scripts in Python, ensuring data consistency and reducing errors by 20%.

• Documented all analysis workflows and dashboard functionalities, enabling seamless knowledge transfer and operational continuity for future teams.

Data Analyst, TatvaSoft– India. June 2020 – Jul 2022

• Leveraged SQL, and advanced Excel for complex data analysis, identifying data norms and anomalies to enhance data quality and strategic decision-making, reducing errors by 15%.

• Utilized Microsoft Power BI and Tableau to create automated dashboards, improving data reporting speed and accuracy by 30%, and facilitating timely and informed business decisions.

• Conducted in-depth research and analysis to support business initiatives, implementing strategies to improve data quality and integrity, resulting in a 25% enhancement in data reliability.

• Engaged with internal stakeholders to understand business needs and extract maximum value from data, translating analytical insights into actionable business strategies, and increasing operational efficiency by 20%.

• Documented and communicated analytical business requirements and insights to all organizational levels, ensuring clarity and alignment with business goals.

• Developed complex Excel models and reports to support data analysis and financial reporting, enhancing accuracy and efficiency by 25%.

Data Analyst, HCL– India Jun 2019 – May 2020

• Applied advanced techniques in SQL for extensive data analysis, detecting patterns and anomalies that improved data accuracy and informed strategic decision-making, reducing errors by 20%.

• Designed and maintained interactive dashboards using Tableau and Microsoft Power BI, enhancing data visibility and accelerating reporting processes by 35%.

• Led initiatives to assess and improve data quality, developing protocols that boosted data integrity and reliability by 30%, supporting critical business decisions.

• Collaborated with cross-functional teams and stakeholders to gather requirements and maximize data utility, translating complex data insights into strategic business actions, and increasing project success rates by 25%.

• Effectively documented and communicated analytical findings and business requirements to stakeholders at all levels, ensuring clear understanding and alignment with organizational goals.

• Utilized advanced Excel functionalities to develop intricate models and reports, enhancing the precision and efficiency of data analysis and financial reporting by 20%.

• Championed the adoption of new analytical tools and methodologies, fostering an environment of continuous improvement and innovation in data analytics processes.

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