Language Detection Model
Summary
Developed a language detection model leveraging Python, Machine Learning, and Natural Language Processing techniques to classify text data.
Results-driven and analytical Data Associate with a Bachelor of Technology in Computer Science, currently leveraging expertise in macroeconomic data analysis and statistical modeling at NCAER. Proven ability to develop robust machine learning models (95% accuracy), create insightful data visualizations, and extract actionable insights from complex datasets, as demonstrated through projects like the Diabetes Prediction Model and Pizza Sales Dashboard. Eager to apply advanced programming, data analysis, and machine learning skills to solve challenging problems and drive data-informed strategies in a dynamic organization.
Data Associate
New Delhi, Delhi, India
→
Summary
As a Data Associate at NCAER, Mayank Khulbe is responsible for maintaining and analyzing macroeconomic databases, conducting statistical analysis, and supporting policy research for government clients by developing data visualizations and ensuring data quality.
Highlights
Maintained and analyzed extensive macroeconomic databases, providing crucial data for policy research and economic analysis initiatives.
Executed rigorous statistical analysis on diverse economic indicators and government data releases, contributing to informed policy insights.
Supported critical research projects on financial regulation and economic policy, delivering data-driven insights for government clients.
Developed impactful data visualizations and comprehensive technical reports, enhancing communication of complex findings to senior economists.
Ensured the highest data quality and integrity across multiple economic datasets and surveys, significantly improving research reliability.
→
Bachelor of Technology
Computer Science
Courses
Database Management System
Data Analytics
Computer Networks
Operating Systems
Issued By
Internshala
Issued By
Tata Forage
Python, C/C++, SQL.
Power BI, MS Excel, Pandas, NumPy, Matplotlib.
Supervised Learning, NLP, Deep Learning.
MySQL, SQL Server.
Summary
Developed a language detection model leveraging Python, Machine Learning, and Natural Language Processing techniques to classify text data.
Summary
Designed and implemented an interactive Pizza Sales Dashboard using Power BI and SQL to visualize key business metrics and trends.
Summary
Performed comprehensive data analysis for KPMG using advanced Excel functions and data visualization techniques to uncover customer insights.
Summary
Developed a robust diabetes prediction model using Python, NumPy, Pandas, and Scikit-learn, employing Logistic Regression and Random Forest classifiers.