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Title Business Analyst Intern
Target Location US-NY-Rochester
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Phone Available with paid plan
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                                                             Candidate's Name
                  PHONE NUMBER AVAILABLE | EMAIL AVAILABLE| | LinkedIN: LINKEDIN LINK AVAILABLE


Education
Rochester Institute of Technology (RIT)                                                                       Rochester, NY
Master of Science in Data Science (MSDS)                                                                  Aug Street Address - May 2025
University of Mumbai                                                                                    Mumbai, Maharashtra
Bachelor of Electronics and Telecommunications (EXTC)                                                    June 2018- May 2022

Skills
Programming Languages: Python, R, SQL, XML
Software: Tableau, PostgreSQL, MySQL, MongoDB, Neo4j, Looker Studio, Google BigQuery, Minitab, Microsoft Excel.

Work Experience
Wayfair LLC (Boston, MA)                                                                                   July 2023 Dec 2023
Business Analyst Operations Intern - Fulfillment, Speed & Reliability
Worked as business operations intern with the fulfillment speed and reliability team, managing fulfillment for over 40 million
e-commerce orders with fulfillment from 20,000 supplier dropship warehouses.
  Developed an Operations Slack Analytics dashboard using Excel and Google BigQuery which provided a comprehensive analytic
    breakdown of question type, volume and origin (NA/EU). Included resolution tracking to enhance follow-up on operational issues.
  Developed robust SQL queries to monitor ticket requests on Jira-based Supporthub channel, focusing on lead times and execution
    metrics; insights gained resulted in a tangible improvement in team workflow, elevating response times by 25%.
  Managed over 1000 tickets on a Jira-based Supporthub channel, ensuring accurate order processing configurations and efficient flow
    from Wayfair to suppliers, optimizing lead times and fulfillment settings.
  Managed a Slack Channel, effectively resolving over 20 questions daily related to lead time settings, late orders, carrier pickups, and
    speed badging issues, enhancing supplier and operational performance.
Dezignolics Web & Software Company (Mumbai)                                                                 Feb 2021 Mar 2021
Data Science Intern
  Employed Linear Regression and Random Forest Regression to forecast housing prices in the USA, achieving accuracy of 91.19%
    and 84.42% respectively.
  Quantified the influence of key variables on price predictions: each unit increase in Income raised house prices by $21.62,
    demonstrating the economic status impact on property values.
  Additional year in House Age increased prices by $165k, and each extra room increased prices by $121k, reflecting the premium on
    space and quality.
  Presented detailed model analysis, focusing on how economic and demographic factors drive real estate values.

Projects
Real vs. Fake Job Posting Prediction                                                                     December 2022
  Developed a machine learning project to distinguish between real and fake job postings, boosting the reliability of job searches.
  Utilized TfidfVectorizer for data preprocessing to achieve robust text normalization, feature extraction and enhancing the data
   quality.
  Designed and optimized an SGDClassifier and implemented L2 normalization to ensure model stability and improved performance.
  Achieved an F1 score of 0.831 and reduced model processing time to 20 minutes through model tuning and validation using
   advanced cross-validation methods, demonstrating high accuracy in real-world conditions.
Economic and Environmental Effects of Demographics in China and India DataViz                             April 2024
  Analyzed the economic and environmental impacts of population demographics in China and India from 1990 to 2050.
  Identified key population trends, projecting India to surpass China s population by 2026 and China s population growth turning
   negative by 2027.
  Examined economic growth, noting China s 600% GDP increase (1990-2025) and India s steady 6-7% GDP growth post - 1991.
  Addressed environmental challenges, such as 90% groundwater contamination in China and extreme temperatures up to 60*C in
   India, proposing mitigation strategies.

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