Summary
Overview
Work History
Education
Skills
Certification
Languages
Publications
Projects
Timeline
Generic

Deepak Kumar

Hyderabad

Summary

Driven by a passion for econometrics and data-driven decision-making, I excelled as a Research Associate at the University of Hyderabad, where I leveraged Python and Power BI to analyze urban economic trends, significantly contributing to predictive analysis projects. My expertise in machine learning and my strong research skills have consistently enhanced project outcomes.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Research Associate

University of Hyderabad
Hyderabad
12.2022 - 12.2023
  • Conducted advanced data analyses to evaluate urban economic trends, leveraging tools such as Python, Power BI, and Excel to clean, visualize, and fit the econometric models for predictive analysis to assess the impact of urban policies SDG 11

Education

Master in Big-data and Analytics -

EAE Business School
Barcelona, Spain
10-2024

Master of Arts - Economics

University of Hyderabad
Hyderabad, India
06-2022

Skills

  • Machine learning
  • Deep learning
  • Econometrics
  • Time Series
  • TensorFlow
  • Keras
  • Sklearn
  • Numpy
  • Matplotlib
  • Seaborn
  • Pandas
  • SQL
  • Microsoft Office
  • Statistical modeling
  • Research and analysis

Certification

  • Data Analysis with Python
  • Databases and SQL for Data Science with Python
  • Python Project for Data Science
  • Exploratory Data Analysis for Machine Learning
  • Supervised Machine Learning: Regression
  • Machine Learning with Python

Languages

Hindi
First Language
English
Advanced (C1)
C1

Publications

The Adani-Hindenburg Saga: A Case Study, Prof Alok Kumar Mishra, South Asian Journal of Management, 

Examined the Hindenburg Research report on the Adani Group and presented an analysis.

Projects

Date :  08/01/24 - 10/20/24

  • The relationship between investor sentiment, market volatility, and market return
  • Applied principal component analysis (PCA) to construct investor sentiment then applied Vector Autoregression (VAR), Granger causality tests, and Impulse Response Functions (IRF), to uncover causal relationships and dynamic interactions between variables.

Date:  01/01/22 - 05/30/22

  • Loan Eligibility Assessment of Customers at Dream Housing FInance Company
  • Applied Machine learning method Logistic regression/Decision tree classifier/Support vector machine (SVM) to check if applicants are eligible for the loan amount, they have applied for so that the company can specifically target these customers.

Timeline

Research Associate

University of Hyderabad
12.2022 - 12.2023
  • Data Analysis with Python
  • Databases and SQL for Data Science with Python
  • Python Project for Data Science
  • Exploratory Data Analysis for Machine Learning
  • Supervised Machine Learning: Regression
  • Machine Learning with Python

Master in Big-data and Analytics -

EAE Business School

Master of Arts - Economics

University of Hyderabad
Deepak Kumar