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Data Science with less than a year in BI Development & Machine Learning
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Highly analytical and results-driven professional with a Master of Science in Business Analytics, specializing in data visualization, data science, and machine learning. Proven ability to develop SQL views, build ETL pipelines, create interactive Power BI dashboards, and implement machine learning models for business problem-solving. Skilled in Python, R, SQL, Tableau, Power BI, and Azure Data Factory, with a strong academic background and practical experience in data manipulation, statistical analysis, and compelling insight communication.
University of Massachusetts Amherst
Master of Science · Business Analytics
N/A – June 30, 2024
University of Massachusetts Amherst
Bachelor of Business Administration · Operations & Information Management
N/A – June 30, 2024
DEV Information Technology
BI Developer
July 1, 2025 – Present
Ahmedabad, Gujarat, India
Gainwell Technologies
PowerBI Intern
May 1, 2023 – August 1, 2023
India
Commonwealth Honors College
IT Assistant-Tier 2
March 1, 2022 – May 1, 2024
Amherst, Massachusetts, United States
Amazon Sentiment Analysis
June 24, 2026 – Present
Built a sentiment analysis model using Amazon customer reviews to classify sentiment with machine learning. Used Python libraries like Pandas, Scikit-learn, and NLTK for data preprocessing, visualization, and modeling. Applied tokenization, TF-IDF, and logistic regression to enhance prediction accuracy and deliver business insights.
Ensemble Methods for Predictive Analytics
June 24, 2026 – Present
Implemented bagging, boosting, and stacking with scikit-learn, XGBoost to improve model accuracy. Developed ensemble models such as Random Forest to predict complex outcomes like movie revenue. Optimized ensembles via hyperparameter tuning, boosting performance and delivering actionable insights.
TensorFlow: Fundamental Applications
June 24, 2026 – Present
Implement linear models and advanced ensemble techniques using TensorFlow for predictive analytics on datasets. Develop neural networks, applying dense layers, activation functions, and optimizers for diverse classification problems. Leverage high-level APIs like Keras and Estimators to streamline model building and optimize training processes.
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse data science applications, from sentiment analysis to predictive analytics and deep learning. The professional experience in BI development aligns with data-driven roles. The blend of academic rigor and practical application suggests a candidate who is eager to learn and apply new technologies, which is a positive indicator for cultural fit in an innovative environment. The current role as a BI Developer, while related, is not a direct senior Data Science role, indicating a potential growth trajectory rather than an immediate senior fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to apply technical skills to solve business problems and deliver insights. The internship experience suggests collaboration and client-focused development. The IT Assistant role demonstrates problem-solving and support capabilities. However, the resume does not provide explicit details on leadership, complex project management, or cross-functional team collaboration at a senior level.