Mayank Khulbe

Aspiring Data Scientist & Analyst

New Delhi, IN.

About

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.

Work

NCAER

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Data Associate

New Delhi, Delhi, India

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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.

Education

AKGEC

Ghaziabad, UP, India
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Bachelor of Technology Computer Science

Courses

Database Management System

Data Analytics

Computer Networks

Operating Systems

Certificates

Data Science

Internshala

Data Visualization & Insights

Tata Forage

Skills

Programming

Python, C/C++, SQL.

Data Analysis

Power BI, MS Excel, Pandas, NumPy, Matplotlib.

Machine Learning

Supervised Learning, NLP, Deep Learning.

Databases

MySQL, SQL Server.

Projects

Language Detection Model

Summary

Developed a language detection model leveraging Python, Machine Learning, and Natural Language Processing techniques to classify text data.

Pizza Sales Dashboard

Summary

Designed and implemented an interactive Pizza Sales Dashboard using Power BI and SQL to visualize key business metrics and trends.

KPMG Data Analysis

Summary

Performed comprehensive data analysis for KPMG using advanced Excel functions and data visualization techniques to uncover customer insights.

Diabetes Prediction Model

Summary

Developed a robust diabetes prediction model using Python, NumPy, Pandas, and Scikit-learn, employing Logistic Regression and Random Forest classifiers.