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Business Analyst Project Management

Location:
Chicago, IL
Posted:
November 18, 2024

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Resume:

Tehmina Shaik

BusinessAnalyst

Linkedin GitHub HackerRank Trailblazer Leetcode Contact: +1-773-***-**** *************@*****.*** Summary

As an experienced Business Analyst and Research Analyst, I leverage my expertise in data analysis, data mining, data visualization, statistics, and project management to drive business growth and informed decision-making. With a strong background in Salesforce, Microsoft Excel, Tableau, SQL, and R programming, I provide data-driven insights and solutions to clients across various industries. My services include data visualization, dashboard creation, and project management, stakeholder collaboration focusing on defining business objectives, delivering high-quality results, and providing exceptional customer service. Experience

Clarivate Business Analyst July 2020 - July 2023

Proficient in Salesforce CPQ, with a strong focus on product configuration, pricing models, and subscription renewals, ensuring seamless quote-to-cash processes. Successfully reduced quote-to-order cycle time by 20%, leading to quicker revenue recognition and customer satisfaction.

Expertise in setting up Roles, Profiles, and Permission Sets, adhering to industry best practices for efficient user management and robust security. Improved user access efficiency by 25% and minimized unauthorized access incidents by implementing strict access controls.

Experienced in User Acceptance Testing (UAT), collaborating with stakeholders to validate functionality, gather feedback, and ensure the system meets user requirements before deployment. Achieved 98% stakeholder satisfaction on UAT outcomes, ensuring smoother deployments and fewer post-launch issues.

Designed comprehensive end-to-end solutions in the Lead-to-Order workflow using Salesforce’s out-of-the- box (OOB) features and Salesforce CPQ, driving automation and efficiency. Contributed to a 30% increase in productivity and reduced manual processing time by 40%.

Experienced in writing SQL queries to extract, manipulate, and analyze data from Salesforce. Reduced data retrieval time by 50%, allowing for faster decision-making and improved data insights.

Proficient in building and customizing Salesforce Reports and Dashboards, ensuring actionable insights are delivered to key stakeholders. Improved reporting efficiency by 35% and enhanced stakeholder engagement with visualizations tailored to specific business needs. Clarivate Research Analyst June 2018 - July 2020

Collaborated with multiple international teams to manage and analyze trademark handling worldwide, ensuring brand protection across diverse markets. Contributed to a 30% reduction in trademark infringement cases through efficient cross-border collaboration.

Conducted comprehensive research on trademarks in multiple languages, utilizing tools like Citrix and Google Translate to facilitate accurate analysis and reporting, improving research accuracy by 40%.

Developed expertise in extracting and analyzing data from various Patent and Trademark Office (PTO) websites, to inform strategic decision-making. Enabled faster insights, reducing data retrieval times by 35% and supporting quicker response to potential trademark issues.

Trained and supported new team members, enhancing their understanding of trademark processes and tools, which improved team productivity by 20%.

Excelra Junior Research Analyst Sep 2017 - Apr 2018

Worked as a Junior Research Analyst, focusing on extracting and processing patent data to support strategic business initiatives. Improved data extraction efficiency by 30%, providing faster access to insights critical for decision-making. Achieved a 98% data accuracy rate, reducing errors and increasing the reliability of the data used for business insights.

Analyzed patent information to provide insights that informed business decisions and supported the development of innovative solutions. Contributed to a 25% increase in the success rate of strategic initiatives by providing actionable insights from patent analysis.

Developed data visualization models to enhance quality management and drive process efficiency improvements, providing actionable insights that supported strategic decision-making, resulting in a 40% improvement in reporting clarity and stakeholder engagement. Education

Trine University MS in Business Analytics Aug 2023 - April 2025 Major: Data Science GPA: 3.9

Jawaharlal Nehru Technological University Oct 2013 - May 2017 Major: Bachelor of Pharmacy GPA: 3.5

Skills&abilities

Salesforce Lightning

Python

Decision Trees

Agile Methodologies

Tableau

SQL

Power BI

Excel

R language

Agile Methodologies

Jira

Project Management

Projects

Data Visualization and Dashboards with Excel View

Analyzed car sales trends for SwiftAuto Traders, focusing on dealer-specific sales and profits. Created a bar chart for Quantity Sold by Dealer ID, a line chart for Profit by Date and Model, and a column chart for Profit by Year and Dealer ID using pivot tables. Used modified datasets from IBM Accelerator Catalog to improve visualization accuracy.

Data Visualization with R View

Created a detailed earthquake magnitude map from the quakes dataset with colored circles and a legend for data interpretation. Enhanced data visualizations in R using ggplot2 and leaflet. Improved an mtcars scatter plot with descriptive labels, titles, and captions via the labs function. Highlighted key map areas by adding rectangles with addRectangles, specifying coordinates. Visualized data points based on a numeric variable, using colorNumeric for color schemes and a legend for clarity. Gender based Data Analysis of Health Measures Using Tableau View Conducted a gender-based analysis of health metrics across obesity categories. Developed a bar graph, line chart and interactive dashboard with gender and obesity combinations on the X-axis and metric values on the Y- axis. Identified obese individuals with the highest average age, weight, physical activity, and BMI. The analysis provided insights into gender, obesity categories, and health disparities. Predicting Precipitation at JFK Airport Using R View Conducted data cleaning by handling missing values, outliers and converting data types on NOAA weather dataset. Used histograms to explore key variables and performed regression analysis with corrplot and tidyverse. Developed simple linear regression models as part of a predictive modeling approach to forecast precipitation, visualized with scatter plots and regression lines. Compared performance with R-squared and RMSE using tidymodel. Identified an accurate model for predicting precipitation at JFK Airport, aiding flight operations & delay management.

SQL for Data Science with R View

Analyzed a farm prices dataset to extract insights on crop yields, prices, and geographies using techniques like inner joins, subqueries, aggregate functions, WHERE, and ORDER BY clauses. Identified top crops and provinces, and calculated average yields and prices to inform agricultural business decisions.



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