NANCY BABEL

Chemical Engineering Student | Aspiring Data Scientist

LinkedIn | GitHub

About

Highly analytical Chemical Engineering student with a strong foundation in data science and machine learning. Proven ability to leverage Python, Power BI, and statistical methods to extract insights, build predictive models, and drive data-driven decision-making. Adept at problem-solving, with a track record of achieving top ranks in national competitions and demonstrating leadership in extracurricular activities, including mentoring teams for major university festivals.

Education

Chemical Engineering

Indian Institute of Technology (BHU), Varanasi

8.10/10.0

Science

St. Anselm's Pink City School, Jaipur

95.6%

General Studies

St. Anselm's Pink City School, Jaipur

95.8%

Certificates

Data Science and Machine Learning Course

Consulting and Analytics Club, IIT Guwahati (Summer Analytics'24)

Projects

Amazon Sales Analysis

Developed a comprehensive sales analysis solution to provide actionable insights into global sales performance.

Laptop Price Prediction

Developed a robust machine learning model to accurately predict laptop prices, leveraging extensive data preprocessing and advanced model tuning techniques.

Energy Efficient Building

Investigated factors influencing building energy efficiency and developed a predictive model to inform sustainable design recommendations.

Awards

All India Rank (AIR) 6864

JEE Mains

Achieved a top rank among over 900,000 candidates in the highly competitive Joint Entrance Examination (JEE) Mains 2022.

3rd Position in Canvas Painting

Inter IIT Cultural Meet 6.0

Secured 3rd place in Canvas Painting as part of the contingent that achieved 2nd place overall in the Fine Arts Cup at Inter IIT Cultural Meet 6.0.

3rd Place in Kalakriti'23

Fine Arts Club, IIT (BHU) Varanasi

Earned 3rd place in the annual fine arts competition among 150 participants, demonstrating artistic talent and competitive spirit.

Languages

English (Fluent)

Skills

Machine Learning

  • Predictive Modeling
  • Regression
  • Classification
  • XGBoost
  • Scikit-learn
  • Grid Search CV
  • Randomized Search CV

Data Analysis

  • Exploratory Data Analysis (EDA)
  • Statistical Analysis
  • Quantitative Analysis
  • Data Mining
  • Feature Engineering

Data Visualization

  • Power BI
  • Matplotlib
  • Seaborn
  • Dashboards
  • Reporting

Programming Languages

  • Python
  • SQL

Python Libraries

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-learn

Developer Tools

  • VS Code
  • Jupyter Notebook
  • MySQL Workbench

Business Tools

  • Microsoft Excel
  • Power BI

Statistics and Probability

  • Statistical Modeling
  • Hypothesis Testing
  • Probability Distributions