Summary
Overview
Work History
Education
Skills
Timeline
Generic

Hiteshi Chawke

Data Science
Nagpur,MH

Summary

Detail-oriented data science professional in machine learning, statistics, and data analysis. Proficient in Python, SQL, and data visualization tools. Experienced in analyzing complex datasets to drive insights and support decision-making. Quick learner, adaptable, and eager to apply knowledge to solve real-world challenges in data science.

Overview

3
3
Languages

Work History

Data Science Intern

Project : Marketing strategy to predict most

probable buyers using ML

This project aims to empower business to make

informed decisions and enhance their marketing

efforts, ultimately contributing to increased

profitability and customer retention.

Responsibilities:

· Understand, analyze, and interpret large data sets.

Develop advanced programs to extract the data

needed, prepare data for further analysis.

· Determine the meaning of the data, and Provide

data facts and insights. Use predictive modeling to

increase and optimize customer experiences,

revenue generation by targeting most probable

buyers.


Project : Using ML model segmentation or Grouping

Credit card Holder

Using ML model segmentation or Grouping Credit

card Holders which help business to find their

potential customer and many more marketing

strategy.

Responsibilities:

· use clustering model to do customer segmentation

based on purchase behavior of credit card holders.

Education

Bachelor of Engineering - Electrical, Electronics And Communications Engineering

DIEMS
Aurangabad, India
04.2001 -

Skills

    Python/ML Packages: NumPy, Pandas, Sci-py, Scikit-learn, Seaborn, Matplotlib, Flask

    Machine learning- Linear Regression, Logistic Regression, DEcision Tree, supervised and Unsupervised Algorithms , KNeighbor's Classifier, Support Vector Machine, Decision Tree, Random Forest, Gradient Descent, Ada Boost, Gradient Boosting, XGBoost, K-means Clustering

    Deep Learning – Neural Networks, Deep Learning, ANN, CNN, DNN, Transfer Learning, Back Propagation, Linear Algebra, Activation & loss functions, optimisers, Tensorflow 2x, Keras

    Techstat: BOW, TFIDF, word2vec, doc2vec, sent2vec,

Timeline

Bachelor of Engineering - Electrical, Electronics And Communications Engineering

DIEMS
04.2001 -

Data Science Intern

Hiteshi ChawkeData Science