Chetan Patel

Aspiring Data Scientist | AI/ML Engineer

Pune, IN.

About

An aspiring Data Scientist and AI/ML Engineer with a Bachelor of Technology in Computer Engineering, specializing in developing and optimizing machine learning models, advanced data analysis, and interactive data visualizations. Proven ability to achieve high model accuracy (up to 95%) and improve operational efficiency by 20% through robust data pipelines and hyperparameter tuning. Eager to leverage strong analytical skills and a comprehensive understanding of AI/ML principles to drive data-driven insights and innovative solutions in a dynamic tech environment.

Work

Rubixe - AI Solutions Company

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Data Scientist Intern

Pune, Maharashtra, India

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Summary

As a Data Scientist Intern, I developed and optimized machine learning models for client projects, contributing to precise revenue attribution and efficient data pipeline design in a remote environment.

Highlights

Developed and optimized robust machine learning models, including Decision Tree, XGBoost, and Random Forest, achieving 95% test accuracy for diverse client projects.

Implemented Logistic Regression and Multiple Linear Regression models to accurately attribute client revenue and conversions with a consistent 95% accuracy.

Collaborated cross-functionally with development teams and stakeholders to gather business requirements, preprocess data, and deliver tailored AI solutions.

Reduced model training time by 20% through strategic hyperparameter tuning and efficient data pipeline design, enhancing operational efficiency.

DataMites

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Data Scientist Trainee

Pune, Maharashtra, India

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Summary

As a Data Scientist Trainee, I developed practical skills in machine learning, data analysis, and interactive visualization techniques to prepare for industry roles.

Highlights

Conducted comprehensive Feature Engineering, Exploratory Data Analysis (EDA), and Data Visualization using Python libraries (Pandas, NumPy, Matplotlib, Seaborn) to prepare datasets for model development.

Built and evaluated various machine learning models, encompassing Supervised, Unsupervised, and Reinforcement Learning algorithms, demonstrating foundational ML expertise.

Developed interactive dashboards using Power BI and Tableau, transforming complex datasets into real-time, actionable data insights.

Education

D.N.Patel College Of Engineering (DBATU University)

Shahada, Maharashtra, India
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Bachelor of Technology Computer Engineering Grade: 7.81/10 CGPA

Courses

Introduction to Programming

Discrete Mathematics

Computer Systems and Architecture

Database Management Systems

Operating Systems

Software Engineering

Computer Networks

Data Structures and Algorithms

Programming Languages

Artificial Intelligence

Deep Learning

Data Analysis

Data Science

Compiler Design

Advanced Topics in Computer Science

Capstone Project or Thesis

Languages

English

Certificates

Certified Data Engineer

Nasscom

Certified Data Scientist

IABAC

Data Science

IBM Developer skills

TCS Empowers Youth Employment Program

TCS

Nptel Certified in Python

INDIAN INSTITUTE OF TECHNOLOGY, MADRAS

Skills

Programming Languages

Python, Django, SQL, C, C++.

Machine Learning & AI

Scikit-learn, Keras, TensorFlow, Pytorch, NLP, Deep Learning, Large Language Models (LLMs), Generative AI.

Data Manipulation & Analysis

NumPy, Pandas.

Data Visualization

Matplotlib, Seaborn, Microsoft Power BI, Tableau, MS Excel.

Database Management

MySQL, MongoDB.

Version Control

Git, GitHub.

Cloud Technologies

AWS, Azure.

Projects

Fraudulent App Identification Using Sentiment Analysis

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Summary

Developed a robust system leveraging Natural Language Processing and the Naive Bayes algorithm to identify fraudulent applications before user downloads, enhancing app ecosystem integrity and user safety.

Employee Performance Prediction

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Summary

Created a high-accuracy predictive model using Artificial Neural Networks to forecast employee performance ratings from dataset features, providing data-driven insights for HR and management.

Superstore Sales Dashboard

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Summary

Designed and developed an interactive sales dashboard for a superstore using Power BI and Tableau, providing key insights into regional profits, sales trends, and product category performance to support strategic business planning.