**name-hidden** has considerable experience in data analysis and ETL. She highlighted a project where she examined a ten-year trend in student application acceptance rates using a dataset of one million records. She worked collaboratively, ensuring data quality and integrity, dealing with patterns and inconsistencies, and used ETL processes. SQL, Tableau, and VUE files were tools she utilized. After analyzing the data, she shared insights with stakeholders to aid decision-making.
She mentioned her favorite project as a data analyst was in the reference department, where she was involved in web page design. She used technologies like Django, Python, and JavaScript jQuery in this project, and it involved collaboration with college staff and IT departments. Another interesting project she mentioned was analyzing student records to predict future applications.
She managed and led the team in this project, working closely with stakeholders and IT supervisors. **name-hidden** also discussed a project from her master's program, a facial recognition proof of concept. The project involved collaboration with three to four people and used a large dataset of pictures. They used Python packages, the Facenet model, and TensorFlow in the design and implementation of this facial recognition system. The model they created could be used for security or attendance purposes, demonstrating a high level of accuracy. **name-hidden** also mentioned her proficiency in Python and Tableau, which she considers essential data science technologies.
**name-hidden** recounted her experiences during her summer internship as an application developer, where she worked with a team to migrate from an existing website to a new one. She primarily focused on content management systems (CMS) and developed components and web pages for the CMS using CSS and JavaScript. She also involved herself in the CMS part of the project, creating about fifty pages and making them responsive for various devices. She later worked on testing these components with the QA team. **name-hidden** also mentioned her full-stack developer internship where she worked with the fronting team initially, migrating designs from Figma pages and writing codes using HTML, CSS, and JavaScript. Later, she worked with the back-end team connecting APIs and databases using MySQL, and scripting with PHP.
**name-hidden** is now seeking a role in full-stack web development in Austin or Dallas, TX, but is open to relocation anywhere in the US. She is highly skilled in Python and Java. She aims to grow as a project manager in the future and believes that starting as a software engineer will pave the way for her to reach her goal. The reason she chose to pursue a master's degree in information systems over computer science was to acquire management skills necessary for a future leadership role.
Available ASAP
Willing to Relocate - Anywhere in the USA. Currently in Florida
Authorized to work for any employer
Call Summary:
**name-hidden** has over four years of experience as a Senior Data Analyst at Accenture, where his role involved data acquisition, cleaning, preprocessing, and interpretation for business needs. He dealt with various business situations such as customer churn and used Python, Power BI, SQL, and R for analytics. He was also involved in regression, classification, clustering, and reporting insights to stakeholders for business improvement. He demonstrated proficiency in multiple regression analysis, logistic regressions, and analysis of variance. Furthermore, he utilized Microsoft Azure Machine Learning studio for machine learning algorithms and Python for data cleaning and preprocessing. He has worked with different clients that use various tools and technologies, such as Saudi Aramco in the UAE. **name-hidden** sees his ideal next role as a Senior Data Analyst. With his master's degree and previous experience, he believes he can effectively address business needs and help businesses grow. He has experience in the pharmaceutical, insurance, and oil/petroleum industries. He worked on datasets for Pfizer US, a UK-based insurance company, and Saudi Aramco, an oil and petroleum industry. He expressed interest in working in any of these industries.
Technical Skills:
Presentations · Data Analysis · VLOOKUP · Statistical Data Analysis · Deep Learning · Big Data · Data Science · Python (Programming Language) · R (Programming Language)
Career Overview:
Demonstrated mastery in turning data into meaningful insights, reported using Power BI, ensued in 9% advanced decision making. Surpassed annual revenue target by 25-35% for 3 consecutive years.
QA Testing, QA Automation or Java Software Engineer
Authorized to work for any employer - OPT F-1 Visa
Available Now - 90 days from June 26th
Will Relocate - Anywhere in the USA
**name-hidden** recently completed her masters in computer science and has three years of work experience in India as a software engineer at Tech Mahindra, where she contributed to multiple projects in banking and telecommunications. She has experience in software testing and has used Java for writing automation scripts. During her tenure, she performed system integration testing, regression testing, and sanity testing. She also has experience with both manual and automation testing, utilizing tools such as Telenium and Java for writing automation scripts. In addition to her work experience, **name-hidden** has performed functional testing, system integration, and regulation. She created test cases and scenarios based on business requirement documents. Furthermore, she interned as a software quality assurance intern in the United States, where she was responsible for writing QA reports and performing cross-browser and functional testing. **name-hidden** is knowledgeable in creating and executing test cases based on business requirement and functional specification documents. She also has experience in writing automation scripts, stating that she developed an interest in automation testing during her master's program. **name-hidden** is currently seeking a new job either in automation or software testing and automation, or as a Java software engineer. She is open to relocating anywhere in the United States. She expressed a preference for working in the banking or financial services domain due to her experience and knowledge in those areas. She believes that the banking industry is evergreen and offers opportunities for higher positions.
Technical Skills:
Software Testing professional with a creative skill set of Selenium automation testing integrated with Cucumber BDD, extensive experience in Agile framework , JIRA and QA tools like HP Quality center , Agile Designer, Core Java and C++.
Career Highlights:
Personal Statement:
I have always enjoyed the work experience in the field of Quality Assurance as it helps to get to know the adaptability and flexibility of an application from both the user aspect as well as the development aspect giving a chance to make an effort to increase the market reliability of the product.
**name-hidden** discussed his experience working at Cloudalyze, a Salesforce partner organization, where he started as a content writer in 2018 before expanding his skill set to include digital marketing and graphic design. He was eventually promoted to Marketing Operations Manager. His duties included creating, designing, and executing digital marketing campaigns tailored for various Salesforce products.
He worked with email marketing platforms like Salesforce Marketing Cloud, HubSpot, Constant Contact, and Mailchimp to generate leads and raise brand awareness. He also actively worked on advertising, using tools like Google Ads, Google Analytics, and LinkedIn Campaign Manager. In addition to marketing, **name-hidden** was asked to assist with pre-sales and business development. He took part in initial consultation calls with potential clients, helping them understand the Salesforce products they were interested in and how Cloudalyze could provide development integration or advisory services.
His people-oriented nature made this shift an easy one, and he enjoyed the additional experience in these areas. **name-hidden** also touched on his career aspirations, stating that he is looking for roles related to his field of study to fulfill the requirements of his OPT. He has been actively interviewing in the digital marketing industry for the past two to three months.
**name-hidden** highlighted an exciting project he led, where he used SEMrush, a real-time marketing automation platform, to improve his organization's SEO rankings. He conducted a thorough competitive analysis, understanding the keywords and strategies used by competitors to enhance Cloudalyze's marketing strategies. This led to increased website and social media traffic, along with an increase in lead generation.
**name-hidden** moved from Kenya to the USA to pursue his master's degree in 2021, following the reopening of schools post-COVID-19. He has a keen interest in data specialization, ignited by his work at an internship where he helped build SQL-based reporting dashboards. He later worked in a county government job in the department of the environment, where he coordinated various projects and noticed a significant knowledge gap in data expertise in his country. This inspired him to seek a master's program focused on data, leading him to a business analytics program. Throughout his studies and various roles, **name-hidden** gained experience in QA testing for web and mobile apps, utilizing tools like Jira and SharePoint.
He's currently working as a freelance QA tester on an on-demand basis, testing various platforms and often focusing on financial applications, such as Western Union's money transfer app. Despite enjoying this work, **name-hidden** is seeking a more technical role that would better utilize his skills and is open to both hybrid and remote roles as well as opportunities requiring relocation, particularly in the Midwest. During his master's program, **name-hidden** worked on several hands-on projects, including a significant project for a retail plant, Freddie's Steak, Burgers, and Custard.
This project involved analyzing a large dataset (500 GB) from their mobile sales over three to four years, with the goal of improving sales and mobile orders. This project was a real-life application of the skills he had learned and was presented to Freddie's analytics team.