PRIYANSHI SHAH

+1-682-***-**** San Jose, CA ad08t0@r.postjobfree.com linkedin.com/in/priyanshishah28 EDUCATION

Master of Computer Science, California State University Long Beach August 2021 - May 2023 Bachelor of Computer Engineering, Gujarat Technological University August 2016 - August 2020 SKILLS

Tools Tableau, Power BI, MS Excel, Adobe Analytics, Alteryx, QlikView, Google Data Studio, AWS Languages Python, R, SQL, Java, SPSS, SMSS, JavaScript, SAS, T-SQL, PL/SQL, MS PowerPoint Software PowerApps, Visual Studio, PyCharm

Analytical Data Visualization, Pattern, Trends analysis, Data Analysis, Business analysis, Looker, Scala, CRM Database MySQL, Oracle, MS SQL Server, MongoDB, Postgres, Snowflake EXPERIENCES

Data Reporting Analyst California State University, Long Beach May 2022 - May 2023

• Worked with cross-functional teams to comprehend data flows, build, and test reports with efficiency by 30%

• Utilized MS Excel and Python for data cleaning, resulting in 20% reduction in data errors and inconsistencies

• Delivered 20+ complex reports, meeting quarterly KPI target and timely decision-making using Tableau

• Implemented automation, achieving a 25% increase in reporting efficiency by reduction in report generation time Business Intelligence Developer Dhyey Consulting Services June 2020 - August 2021

• Led Agile-driven development of Power Apps solution for NVKIDS Project, replacing a legacy system, NOMADS

• Used Power BI for data-driven strategies to deliver periodic reports for predictive insights on child support cases, aligned with Software Development Lifecycle (SDLC), elevated client contentment by 20%

• Applied SharePoint, SQL, and Python for data analytics, expediting case resolution by 12% for continuous project enhancement with 80% increase in efficiency Data Analyst Tops Technologies June 2019 - May 2020

• Designed and implemented A/B testing experiments for products to improve conversion rate by 25 basis points

• Participated in product development, streamlining Data Wrangling and Manipulation activities in Python, MS Excel, providing key insights using Power BI

• Worked with stakeholders to structure problems, identify appropriate data sources, extract data, and develop integrated information delivery solutions with strong communication and customer service skills PROJECTS

Compensation Analysis

• Accelerated a comprehensive analysis using Workday (HRIS) for the healthcare sector forecasting packages are competitive, equitable, and aligned with industry standards using Oracle Cloud Payroll

• Performed SQL, Excel functions for aggregating and summarizing data, making easier to draw insights by 40%

• Developed performance-based bonuses to KPIs resulting 12% increase in employee satisfaction and motivation Sales Prediction

• Conducted an ad-hoc reporting analysis to create a sales forecast model for the upcoming product launch

• Utilized Python and ETLs (Extraction, Transformation, Load) through Spark for data preprocessing and model development, incorporating external factors such as seasonality, marketing spends, and competitor activity

• Provided the sales team with actionable sales targets based on the forecast, resulting in a 70% successful of product launch that exceeded revenue expectations, leading to a 15% increase in overall profitability Inventory Analysis

• Processed dataset containing 15000 transactions of customers in a retail store with items purchased together

• Executed robust Data Pipeline of 3 process steps ingesting, analyzing, and cleaning datasets using R and SQL

• Deployed Apriori algorithm in data mining and find frequent item sets with minimum support and confidence

• Build an interactive dashboard using Tableau to ensure smooth end-user experience and prompt issue resolution

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