Priyanka Vaidya

Priyanka Vaidya

About

Detail

Business Analyst at JPMorganChase
California, United States

Contact Priyanka regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education
folder
Project
flag
Award
auto_stories
Publication

Résumé


Jobs verified_user 0% verified
  • JPMorgan Chase & Co.
    Business Analyst
    JPMorgan Chase & Co.
    Jan 2023 - Current (3 years 4 months)
    •Improved decision-making by 25% through the creation of impactful maps and dashboards using PowerBI, Tableau, and ArcGIS, fostering a visually-driven analytical environment. •Drove impactful presentations in Power BI and Tableau, utilizing open-source datasets for insightful visualizations, promoting engagement, and facilitating knowledge-sharing. •Enhanced operational efficiency by optimizing data preparation processes with KNIME, ensuring seamless workflows and proficient handling of complex tasks. •Achieved a 95% data integrity rate by spearheading data cataloging and governance initiatives, establishing a culture of trust and accessibility for reliable data-driven decision-making. •Advocated for a data-driven culture, emphasizing the i
  • Snowflake
    Business Analyst
    Snowflake
    Mar 2021 - Jun 2021 (4 months)
    • Directed a customer retention optimization project for 1,500+ clients, using Excel, SQL, Product Ownership and ERP systems. Eased customer churn by 10% and boosted retention rates by 15%, aligning strategies with budgetary goals for measurable impact. • Utilized Python for data analysis, employing Pandas and NumPy to streamline data processing. Achieved a 25% reduction in data handling time and enhanced decision-making accuracy, driving more efficient insights for strategic decisions. • Enforced Jira for project management and stakeholder collaboration, blending with cross-functional teams and C-level leaders. Improved project delivery timelines by 20%, easing communication and data integration for optimized results. • Executed ERP ma
  • Snowflake
    Business Analyst
    Snowflake
    Mar 2021 - Jun 2021 (4 months)
    •Directed a customer retention optimization project for 1,500+ clients, using Excel, SQL, and ERP systems. Eased customer churn by 10% and boosted retention rates by 15%, aligning strategies with budgetary goals for measurable impact. •Utilized Python for data analysis, employing Pandas and NumPy to streamline data processing. Achieved a 25% reduction in data handling time and enhanced decision-making accuracy, driving more efficient insights for strategic decisions. •Enforced Jira for project management and stakeholder collaboration, blending with cross-functional teams and C-level leaders. Improved project delivery timelines by 20%, easing communication and data integration for optimized results. •Executed ERP management using SAP, optimi
  • V
    Business Analyst
    VDA InfoSolutions Pvt Ltd
    Sep 2018 - Feb 2021 (2 years 6 months)
    • Conducted comprehensive analysis of customer retention metrics leveraging Excel and SQL, Agile Methodogies like Scrum resulting in a notable 15% enhancement in customer loyalty within a 6-month timeframe. • Collaborated extensively across sales, marketing, and product teams to aggregate and synthesize data, fostering the development of a targeted customer retention strategy. • Spearheaded the formulation of a segmented and personalized customer retention strategy, achieving a significant 20% reduction in churn through precise targeting and strategic positioning initiatives. • Orchestrated customer research and analysis efforts to discern key preferences and pain points, thereby informing the creation of bespoke communication strategie
  • V
    Business Analyst
    VDA InfoSolutions Pvt Ltd
    Sep 2018 - Feb 2021 (2 years 6 months)
    •Conducted comprehensive analysis of customer retention metrics leveraging Excel and SQL, resulting in a notable 15% enhancement in customer loyalty within a 6-month timeframe. •Collaborated extensively across sales, marketing, and product teams to aggregate and synthesize data, fostering the development of a targeted customer retention strategy. •Spearheaded the formulation of a segmented and personalized customer retention strategy, achieving a significant 20% reduction in churn through precise targeting and strategic positioning initiatives. •Orchestrated customer research and analysis efforts to discern key preferences and pain points, thereby informing the creation of bespoke communication strategies and loyalty programs. •Tracked and
Education verified_user 0% verified
  • San Jose State University
    Master of Science
    San Jose State University
    Aug 2021 - May 2023 (1 year 10 months)
    Computer Engineering
  • San Jose State University
    Master's degree, Computer Engineering
    San Jose State University
    Aug 2021 - May 2023 (1 year 10 months)
    Courses: Data Structures and Algorithms Operating Systems Enterprise Distributed Systems Cloud Computing Data Mining and Business Intelligence
  • Fr Conceicao Rodrigues College of Engineering Band Stand Bandra West Mumbai
    Bachelor of Engineering - BE, Information Technology
    Fr Conceicao Rodrigues College of Engineering Band Stand Bandra West Mumbai
    Jul 2015 - Jul 2019 (4 years 1 month)
    Skills: Java · Machine Learning · Python · Data Structures
  • University of Mumbai
    Bachelor of Engineering
    University of Mumbai
    Jul 2015 - Jul 2019 (4 years 1 month)
    Information Technology
Projects (professional or personal) verified_user 0% verified
  • W
    WeConnect
    Aug 2022 - Current (3 years 9 months)
    * WeConnect is a Social Media Application for University Students to connect with each other and access any campus related information online by finding out about various events, campus services, groups and clubs, campus feed, and also manage their class schedule. * This allows students to communicate easily with each other by staying connected on one common platform and get to know about any campus related information via the app. It can also be used on an office platform for employees to stay connected with each other. * We have used these tech stacks for the development of this application: MongoDB for storing register/login data of the user, Node and ExpressJS for Backend, JWT for Authentication and Authorization of the users, React
  • M
    Music Personalization and Recommendation System for Voice-based Virtual Assistants/Mobile Apps
    Jul 2018 - May 2019 (11 months)
    * Developed and designed a music personalization and recommendation system by implementing machine learning algorithms and techniques to analyze user preferences and recommend personalized music content. * Developed a collaborative filtering based recommendation engine to suggest music based on user preferences and behavior patterns. * Incorporated natural language processing techniques to understand user queries and generate accurate music recommendations. * Technologies used: Python, NumPy, Jupyter Notebook, TensorFlow, Scikit-Learn, MySQL, Django, AWS, Spotify APIs, Pytorch.
Awards verified_user 0% verified
  • F
    1st prize in Bachelor's Final Year Project Competition
    Fr Concecaio Rodrigues College of Engineering
    Apr 2019
    Project was on Personalisation and Recommendation System for Voice-based Virtual Assistants/Mobile Apps in which our project focused on recommending songs to the users based on their personal interests and their preferences.
Publications verified_user 0% verified
  • J
    Mood and Emotion Recognition: A Survey
    Journal of Emerging Technologies and Innovative Research JETIR
    Jan 2019
    Co-authored and published a paper on Mood and Emotion Recognition: A Survey in the International Journal of Emerging Technologies and Innovative Research (JETIR) which is a UGC and ISSN approved Journal. ISSN Number: 2349-5162.