Data Analyst Science

Tanvi Valkunde

Boston, MA 857-***-**** ********.*@************.*** LinkedIn

Education

Master of Science in Computer Science Engineering GPA: 3.7/4.00 Northeastern University, Boston, MA, US May 2024

Relevant Coursework: Applications in Engineering, Data Management and Database Design, Data Science Engineering Methods & Tools, Business Process Engineering, Advances in Data Science, Designing Advanced Data Architecture for BI, Data Analysis Bachelor of Engineering in Information Technology GPA: 3.5/4.00 University of Mumbai, MH, IN May 2022

Technical Skills

Visualization Tools: Tableau, Google Charts, Matplotlib, MATLAB, RStudio, MS Office Analytical Tools: Microsoft Power BI, Google Analytics, MySQL, Oracle, Python Pandas, Mongo DB, MS Excel Languages: R, Python, C, C++, SQL

Certifications: Python for Data Science, Data Science Bootcamp, Agile Innovation & Problem-Solving Skills, IBM certified Data Analyst, Google Data Analyst, Tableau Advanced Work Experience

Graduate Teaching Assistant

Northeastern University, Boston, MA Sept 2023-April 2024

• Assisted Professor in delivering lectures, workshops and discussions related to Business Process Engineering course, helping 60 students grasp concepts and guide them with project management skills including agile principles.

• Conducted meticulous grading of student assignments, quizzes, exams, and projects ensuring consistency and fairness in evaluation

• Offered regular office hours to students, creating a supportive environment for addressing questions, clarifying doubts, and providing guidance on course materials and professional growth among students Data Analyst Intern

VedSur Marketing Services, Mumbai, IN Jan 2022-July2022

• Conducted comprehensive data analysis, including data cleaning, preprocessing and exploratory data analysis (EDA) to identify patterns and trends

• Utilized Excel spreadsheets to analyze data on social media outputs and created Tableau visualizations to identify key business insights, leading to 25% improvement in data-driven-decision making

• Performed cost-benefit analysis on multiple ad campaigns, resulting in an 9% increase in performance

• Conveyed insightful business recommendations to the marketing team through compelling PowerPoint presentations, providing data-driven support and analysis using Business Analytics tools that led to improved decision-making Junior Data Analyst and Visualization Intern

Hi-Tech Engineering Solutions, Mumbai, IN Feb 2021-Dec 2021

• Utilized Python and SQL for data extraction, transformation and analysis, contributing to 15% improvement in project efficiency. Also, collaborated with engineering team to develop predictive maintenance models for critical machinery

• Applied machine learning algorithms to predict equipment failures, resulting in a 12% reduction in downtime

• Implemented process optimization strategies, leading to 10% increase in overall manufacturing efficiency

• Developed interactive dashboards using Tableau to present key engineering performance indicators Projects

Sale Price Prediction using Ames Housing Dataset

(Technologies leverage: Python, Machine Learning Libraries, Data Analysis) Jan 2023 – May 2023

• Developed a Sales Prediction model using the dataset, applying regression techniques and leveraging machine learning algorithms to estimate housing prices accurately. Employed Python and popular machine learning libraries to preprocess the data, engineer relevant features and build predictive models

• Employed advanced regression algorithms such as XGBoost and TensorFlow to train the model, achieving a high accuracy rate of 91%

Building a Scalable Sales Data Pipeline with Azure Integration

(Technologies leverage: Python, MySQL, ETL processes,Data Ingestion, Data Modelling, Data Visualization) Sept 2022 – Dec 2022

• Developed a scalable sales data pipeline with Azure integration to improve data processing efficiency and provide accessible data insights and also extracted sales data from diverse sources including CSV files, API endpoints and database

• Employed Azure Machine Learning to implement data modelling techniques, structuring data to meet requirements ensuring data was well prepared for further visualization

• Designed and implemented comprehensive ETL processes using Azure tools to optimize data accuracy. Tableau visualization provided user-friendly access to critical metrics, benefiting both technical and non-technical stakeholders Academic Publication

Linear Algebra in the Browser powered by WebAssembly IEEE Conference Publication IEEE Xplore

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