Anuj Gopanwar
Research Assistant @Northeastern University College Of Engineering
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WORK HISTORY
Research Assistant @Northeastern University College Of Engineering
Boston, MA, US
Contributing to research on machine learning system design, deployment, and MLOps within the Department of Mechanical and Industrial Engineering.Developed and deployed supervised and unsupervised ML models (CNNs, Bayesian classifiers, neural networks) for predictive maintenance and anomaly detection on industrial IoT datasets.Built end-to-end ETL pipelines using PySpark, SQL, Pandas, and shell scripting to collect, clean, and transform large-scale time-series data; performed feature engineering, hypothesis testing, and model evaluation (F1, precision, recall).Conducted exploratory data analysis and statistical insight generation to guide model development and improve research outcomes.Designed and automated machine learning workflows, including data preprocessing, pipeline automation, model tracking, and performance reporting.Created interactive visualizations and dashboards with Matplotlib, Plotly, Power BI, and Tableau to deliver actionable insights to research teams.Applied bias monitoring and fairness evaluation techniques to address ethical concerns in AI models.Supported algorithm selection, model tuning, and system monitoring for scalable ML deployment.Collaborated using Git for version control and SQL for advanced data manipulation.
EDUCATION
Northeastern University
Master of Science - MS, Data Analytics Engineering
University of Mumbai
Bachelor of Engineering - BE, Information Technology
ABOUT ANUJ GOPANWAR
Data Analyst with a strong foundation in transforming complex datasets into actionable business insights. Currently completing an MS in Data Analytics Engineering at Northeastern University, with hands-on experience delivering end-to-end analytics solutions across financial, research, and operational domains.I specialize in using SQL, Python, Tableau, Power BI, and Excel to clean, analyze, and visualize large-scale data, enabling organizations to track performance, identify trends, and make informed decisions.In my recent role as a Research Assistant, I engineered data pipelines processing over 10 million records daily and developed dashboards that reduced analysis turnaround time by 30%. During my internship with HDFC Bank’s marketing division, I automated reporting systems and uncovered trends that improved forecasting accuracy by 15% and reduced reporting time by 40%.My strengths include:>Data cleaning and transformation>Exploratory Data Analysis (EDA)>Dashboard development and visualization>KPI tracking and reporting>Forecasting and trend analysis>Stakeholder communicationI am passionate about bridging the gap between technical data analysis and business strategy, turning raw data into insights that drive measurable impact.Currently seeking full-time Data Analyst opportunities where I can contribute analytical rigor, problem-solving skills, and a strong business mindset.Open to networking, collaboration, and career opportunities.
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