Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Projects
Timeline
Generic
Pushpansh

Pushpansh

Rohtak,HR

Summary

Motivated graduate student currently pursuing a Master's in Data Science, with a strong foundation in statistical analysis, machine learning, and data visualization. Adept at leveraging Python, R, SQL, and data science tools to derive actionable insights from complex datasets. Demonstrated ability to work on real-world data projects. Eager to contribute data-driven solutions in a collaborative and innovative environment.

Overview

1
1
year of professional experience

Work History

Computer and Mathematics Teacher

Shiksha Bharti High School
04.2022 - 03.2023

Education

Masters in Science (MS) - Data Science

Chandigarh University (CU)
05.2026

Post Graduate Diploma - Computer Applications

Hartron Skill Centre
Bahadurgarh, Haryana
01.2024

Bachelor in Science (B.Sc.) -

Maharishi Dayanand University
08.2022

Skills

  • Liner & Logistic Regression
  • Unsupervised learning
  • Decision Trees
  • Predictive Modeling
  • Tableau
  • Power BI
  • MS Excel(advanced)
  • Python
  • R
  • SQL
  • IoT fundamentals
  • Protocols
  • Applications
  • Design methodology
  • MongoDB
  • Scikit-learn
  • Optuna
  • Pandas
  • NumPy
  • Matplotlib
  • Problem-Solving
  • Public Speaking & Presentation skills
  • Time Management
  • Analytical Thinking
  • Decision Making
  • Goal oriented
  • Adaptability
  • Data-driven decision making

Accomplishments

  • Active member of NSS
  • Silver Medal in Interschool Rope Skipping Competition
  • National Service Scheme (NSS) 7 days camp completed
  • Certification in Python course
  • Cleared the IELTS exam
  • Worked as computer and Mathematics teacher in Shiksha Bharti High School, Bhaproda

Languages

Hindi
English

Projects

AutoML System for Model Selection and Hyperparameter Optimization 

Technologies: Python, Scikit-learn, Optuna, Pandas, NumPy, Matplotlib

•Automated the end-to-end ML pipeline including data preprocessing, model selection (classification/r regession), and hyperparameter

•Integrated Optuna for dynamic hyperparameter optimization, reducing manual effort and improving model performance by up to 15%.

•Implemented performance visualization and reporting modules for quick model evaluation and comparison.

AI-Powered Environmental Monitoring and Prediction System

Technologies: Python, TensorFlow/Keras, Scikit-learn, Pandas, Matplotlib

•Developed supervised learning models to predict environmental parameters like temperature and humidity from historical sensor data.

•Designed a data ingestion and cleaning pipeline to handle real-time environmental data inputs.

•Achieved accurate short-term forecasting with time-series models, aiding early warnings and environmental planning.


Timeline

Computer and Mathematics Teacher

Shiksha Bharti High School
04.2022 - 03.2023

Post Graduate Diploma - Computer Applications

Hartron Skill Centre

Bachelor in Science (B.Sc.) -

Maharishi Dayanand University

Masters in Science (MS) - Data Science

Chandigarh University (CU)
Pushpansh