Bhuvaneshwari Selvavinayagam

**** *** *** *****, **********, North Carolina, 27410

ad3277@r.postjobfree.com • +1-781-***-****• LinkedIn EDUCATION

Master of Science, Business Analytics (GPA: 3.77 / 4) Sept2022 – December 2023 Isenberg School of Management - University of Massachusetts, Amherst Relevant Coursework: Data Science for Business, Business intelligence Analytics, Financial & Managerial Accounting, Statistics for Business, Data Mining, Business Application Development (python), Data Visualization in Business (Tableau), Artificial Intelligence for Business (AI/ML) Master of Business Administration (MBA) (CGPA: 7.07 / 10) August 2016 - May 2018 SRM Institute of Science and Technology, India

Bachelor of Engineering, Civil Engineering (CGPA: 8.30 / 10) August 2012 – May 2016 Sri Sairam Engineering College, Anna University

Academic Projects

Natural Language Processing with Disaster Tweets – AI/ML project December 2023

• To apply the knowledge, skills in the field of data analysis and machine learning to build classification model based on supervised learning that can accurately identify whether a piece of information is referring to a real disaster or not.

• Utilized techniques such as tokenization and stemming to prepare textual data for machine learning algorithms, conducted rigorous model evaluation using appropriate metrics (accuracy, precision, recall) to ensure robust performance, achieved 80% accuracy on the validation set, demonstrating the effectiveness of the developed model. California Housing Prices (Data Science, python, Tableau) April 2023

• Applied data science methodologies to analyze and predict housing prices in California, utilizing Python for data processing and modeling and Tableau for visualization.

• Developed predictive models using regression algorithms (e.g., Linear Regression, Decision Trees, Random Forest) to estimate housing prices. Evaluated model performance using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared to ensure accurate predictions. Developed dashboards for stakeholders, facilitating easy interpretation of complex housing market trends. Spotify Artist Ranking Analysis, song recommendation System December 2022

• Employed Business Intelligence techniques to analyze and determine factors influencing the ranking of top artists. Leveraged Business Intelligence techniques to develop a personalized recommendation system for the top 10 songs on Spotify. Developed expertise in leveraging Business Intelligence tools for comprehensive data analysis.

• Enhanced skills in identifying and analyzing key performance indicators in the music industry. Data Mining for Airfare Predication – (Regression Tree, Linear Regression, K-Nearest Neighbors) April 2023

• Gained hands-on experience in using Excel Miner for data mining and exploration.

• Applied a variety of data mining techniques to predict airfare trends and fluctuations, evaluated model performance using appropriate metrics (e.g., Mean Absolute Error, R-squared) for regression models. EXPERIENCE

Data Visualization Intern July 2023 – Sept 2023

The Upper New Review -North Carolina US

• Analyze and interpret Hydrologic Unit Code (HUC) data for a watershed portfolio, optimize water resource management strategies and achieve a 20% improvement in environmental sustainability.

• Python and SQL were applied to analyze a dataset comprising 15,000 Hydrologic Unit Code (HUC) entries, revealing critical patterns in water resource usage. Implemented targeted conservation initiatives resulting in a 25% reduction in water consumption.

Senior HR Analyst Nov2021 - Sept 2022

Nielsen IQ (NIQ) India

● Designing interactive Tableau dashboard that integrated diverse databases, proficient in creating comprehensive Business Requirements Documentation (BRD), translating business requirements into clear and concise user stories. Reduced hiring expenses by 20% and increased the effectiveness of talent acquisition initiatives by using predictive analytics.

● Experienced in applying both Agile and Waterfall methodologies to manage and execute HR projects, demonstrated ability to work in Agile sprints, facilitating regular feedback loops and adjustments to project deliverables. Executive Recruiter

Teleperformance Global Services Private Limited Aug2018 – June 2021

• Led end to end recruitment life cycle from sourcing strategies, talent recruitment, and acquisition to interview.

• Developed expertise in volume hiring, stakeholder management, team handling, client coordination, client interaction, vendor management, professionally experienced with corporate technical campus/university recruitment. SKILLS

Business Intelligence and Analysis tools: Microsoft Excel, SQL, Tableau, Power BI, Jira Statistical Analysis & Modelling Tools: XLMiner (Excel-based data analysis tool), Python (with libraries like NumPy, Pandas, Matplotlib, Scikit-learn, PySpark, Seaborn, SciPy, TensorFlow) Design and Technical documentation: AutoCAD, ATS (SmartRecruiters), user stories, use case, Peoplesoft, Lucidchart, Visio

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