Questrom MS in Business Analytics Students - 12 Month Track
Available for Full-Time Hire August 2026
+ Will Participate in Summer 2026 Industry-Sponsored Capstone Projects

MBA, SRM Institute of Science and Technology, India
B.Tech. in Computer Science and Engineering, SRM University, India
M.S. Candidate in Business Analytics
I am a results-driven business analyst with 5+ years of cost and operations leadership, now completing an MS in Business Analytics at Boston University to deepen my Python and advanced analytics expertise. I specialize in cost modelling, pricing strategy, and process optimization, building data products and ML experiments that turn complex financial and operational data into clear, executive-ready insights. I thrive in dynamic, cross-functional environments where I can partner with stakeholders to translate ambiguous problems into structured analyses and scalable solutions that improve profitability and operational efficiency. I am seeking full-time roles where I can combine hands-on analytics, cloud and visualization tools, and business judgment to drive measurable impact on growth and margin.
#applieddatascience

B.Tech. in Computer Science and Engineering, NMIMS, India
B.S. in Business Information Technology, Virginia Tech, Virginia
M.S. Candidate in Business Analytics
I am driven by the challenge of turning complex data into strategic insight that fuels performance and growth. My experience spans predictive analytics, business intelligence, and process optimization, where I’ve applied tools like Python, SQL, and Power BI to deliver measurable impact. I’m passionate about bridging data, technology, and business strategy to enable informed decisions and operational excellence. With a focus on analytical rigor and results-oriented problem-solving, I aim to contribute to organizations that leverage data to drive innovation, efficiency, and long-term value creation.
#marketing

B.A. in Quantitative Economics, Beloit College, WI
M.S. Candidate in Business Analytics
I am a results-driven Business Intelligence Developer with 3 years of experience translating complex data into actionable insights that fuel business growth. Combining work experience and high academic standing, I bring expertise in SQL, Python, Tableau, Metabase, PostgreSQL, and AWS, with a strong foundation in dashboard development and machine learning. I specialize in building predictive models and data products that turn raw data into clear, decision-ready intelligence. I collaborate effectively across teams, turning complex challenges into clear, actionable solutions. I am looking for full-time opportunities where my analytics expertise can create meaningful impact on business growth and performance.
#applieddatascience

B.S. in Marketing, Concentration in Data Analytics, Purdue University, West Lafayette, IN
M.S. Candidate in Business Analytics
I’m an aspiring Data Analyst with 3.5 years of experience as an Operations Manager in the CPG industry, where I developed a strong foundation in problem-solving, process optimization, and cross-functional collaboration. Through the MSBA program, I am gaining hands-on skills in Python, SQL, and Tableau to uncover insights and improve decision-making. I’m excited to pivot my career toward analytics and contribute to organizations by turning data into actionable strategies. I’m actively seeking opportunities to apply my technical skills, business knowledge, and passion for data-driven decisions to drive meaningful impact.

B.S. in Business Administration, Boston University, MA
M.S. Candidate in Business Analytics
Analytical and detail-oriented, I focus on turning complex data into clear, actionable insights that support business decisions. My experience includes financial analysis, A/B testing, and building machine learning models, where I develop structured approaches to solve ambiguous problems. I have worked on end-to-end data pipelines, from data preparation to modeling and interpretation, with applications in operations, consumer behavior, and forecasting. I am particularly interested in Business Analyst and Data Analyst roles where I can apply data-driven thinking, technical tools, and business context to improve processes, optimize performance, and deliver measurable impact.
#applieddatascience

M.S. in Applied Statistics, Nanjing University, China
B.S. in Financial Mathematics, Nanjing Normal University, China
M.S. Candidate in Business Analytics
I bring 6 years of experience as a Senior Actuarial Consultant at PwC, where I built a strong foundation in analyzing complex financial and insurance data. My work spans actuarial valuation, risk analysis, and the integration of data analytics to uncover patterns and support data-driven decision-making. I am passionate about applying analytics to solve business problems and translating data into clear, actionable insights. I enjoy working at the intersection of analytics and business, and I am seeking analytics-focused roles where I can leverage my quantitative background, technical skills, and business understanding to drive meaningful impact.

B.A. in Computer Science and Mathematics, Wabash College, Crawfordsville, IN
M.S. Candidate in Business Analytics
With a background in Computer Science and Mathematics, I have developed experience in data analytics, machine learning, and business problem-solving across academic and professional settings. My work includes building predictive models, conducting A/B testing, and developing dashboards to translate data into actionable insights using tools such as Python and SQL. I am currently pursuing a Master’s in Business Analytics to deepen my technical and strategic skill set. I am passionate about leveraging data to improve products and decision-making, particularly within technology, healthcare, and sports, where data can drive meaningful impact and enhance user experiences.
#applieddatascience

B.S. in Industrial and Systems Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia
M.S. Candidate in Business Analytics
Senior Business Analyst with experience in analytics-driven problem solving, business analysis, and decision support across high-impact initiatives. Background includes data analytics, operational design, and cross-sector project work, supported by graduate studies in Business Analytics at Boston University and a foundation in Industrial & Systems Engineering. Particularly interested in roles where structured thinking, analytical depth, and practical execution can drive better decisions and measurable impact.

B.S. in Finance, Kazakh-British Technical University, Kazakhstan
M.S. Candidate in Business Analytics
I am a results-driven analyst with a background in financial expertise and data analytics, shaped by hands-on experience at KPMG and a growing mastery of Python and machine learning. Currently completing my M.S. in Business Analytics at Boston University, I am passionate about turning complex financial data into clear, actionable insights. With a strong foundation in financial statement analysis, tax compliance, and predictive modeling, I am eager to bring both my finance background and technical toolkit to a Financial or Business Analyst role where I can drive data-driven decision-making.

MBA, Gonzaga University, WA
B.S. in Education and Information Technology, Capital Normal University, China
M.S. Candidate in Business Analytics
With over four years of experience in project management within the tech industry, I am passionate about understanding client needs and leveraging analytics to enhance user experience and business growth. I am a results-driven business analytics professional with a global market perspective, specializing in translating complex data into actionable insights that support strategic decision-making. Through academic experience, I have developed expertise in data analysis, and dashboard development, utilizing Python, SQL, Power BI, and Tableau. After graduation, I am eager to apply my expertise in a full-time analyst role and create meaningful impact.

I am passionate about using data and analytics to solve business problems and support better decision-making. My experience includes business analytics, financial research, and data visualization projects using tools such as Python, SQL, Tableau, and Excel. I have worked on projects involving customer segmentation, marketing effectiveness, predictive modeling, and behavioral analysis. I enjoy combining analytical thinking with communication and teamwork to turn complex data into practical insights. Having studied and lived in different countries, I also value cross-cultural collaboration and adaptability. I am always interested in learning new analytical methods and applying them to real-world business challenges.
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