Swaraj's Portfolio

About

Data Scientist & ML Engineer

I am 21 years old, currently in 4th year (Graduating June 2024), pursuing a career in Computer Science & Engineering from Dr Babasaheb Ambedkar Technological University Lonere, India. Born and brought up in Akola District, India. I have done my schooling from Sant Gadge Baba Amaravati University in 2020, with General Science (PCMB).

My idea behind taking up Computer Science & Engineering is my love for computers and the fact that, given the knowledge, I can make a computer do almost anything I want it to do.

Date of Birth: 29 July 2002
Phone: +91 7038846547
Email: swarajdudhe0501@gmail.com
City: Pune, Maharashtra, India

Degree: B.Tech (CSE)
College: NCER Talegaon Dabhade
University: DBATU Lonere
CGPA: 8.93

I have a keen interest in the field of Machine Learning and Data Science, and I'm presently learning and working on the skills required to expertise in the same.

Projects

Blogs

Achivements

Experience (Freasher)

Skills

Python Programming Language 75%

Object Oriented Programming (oops)75%

Python Libraries55%

Hypertext Markup Language (HTML) 90%

Softwere Development Life Cycle (SDLC) 90%

Machine Learning Algorithms 80%

Data Visualization 80%

Structured Query Language (SQL)65%

Casceding Style Sheet (CSS)75%

Git And Github85%

Interests

Python

Machine Learning

Data Science

Database Management System

Artificial Intelligence

Amazon Web Services

Project Management

Human Resource

Internships & Certifications

Successfully completed a comprehensive python certification course (IBM PY0101EN), gaining valuable hands-on experience and insight into real-world applications.

Python Course Certification

By Cognitive Classes

Click To See Certificate

Completed certification in machine learning, mastering various algorithms for data analysis and prediction

Machine Learning Course

By Cognitive classes

Click To See Certificate

Successfully completed an Arduino project-based learning course, mastering the fundamentals of Arduino Uno and its programming language

Arduino Course Certification

Dolphin Labs Pune

Click To See Certificate

Completed a comprehensive machine learning and data science internship, gaining hands-on experience with ML algorithms, data science projects, and proficient Python programming skills.

ML and Data Science Internship

At PHN Technology

Click To See Certificate

Completed an enriching Human Resource internship, adept in managing and mentoring interns, assigning tasks, and addressing individual needs with care

Human Resource Internship

ICCHR

Click To See Certificate

I have Successfully participated in the AI Knowledge Test of the Retirement Industry AI Hackathon: T3 Hack organised by the TIAA

Hackathon Certificate

TIAA

Click To See Certificate

I have Successfully participated in the HackOn With Amazon - Season 3 organised by the Amazon.

Hackathon participation Certificate

Amazon Hackon season 3

Click To See Certificate

I have successfully participated in the Armageddon: Strategy Case Competition of the TRBS - The Red Brick Summit 2023 organised by the Indian Institute of Management IIM, Ahmedabad .

Strategy Case competition Certificate

IIM, Ahmedabad

Click To See Certificate

My Resume

Data Scientist & ML Engineer

Sumary

Contact Me

swarajdudhe0501@gmail.com

+91 7038846547

Talegaon Dabhade, Pune, Maharashtra

https://github.com/swarajdudhe

Skill Set

Hard Skills

Python
OOPs - Object Oriented Programming
Python Libraries - Numpy, Pandas, Seaborn, Scikit-Learn
Machine Learning And Algorithms
Data Visualization And EDA
Statistical Methods - Clustering, Classification, Regression
Feature Engineering
SQL - Structured Query Language
HTML, CSS, Flask
Database - RDBMS and basic MS Excel
SDLC and Agile Technology
Git And Github

Work Experience

Internships

Machine Learning and Data Science internship

PHN Technology Pune, Maharashtra

04/2023 To 06/2023

Human Resource and Outreach internship

ICCHR India, (Remote)

11/2023 To 02/2024

Interest

Area of Interest

Artificial Intelligence
Machine Learning
Data Scientist
Human Resource

Language

Language Known By Me

Hindi (Intermediate Level)
Marathi (Advance Level)
English (Intermediate Level)

Educational Background

B.Tech Computer Science Engineering

2020 - Present(2024)

Dr. Babasaheb Ambedkar Technological University, Lonere

Nutan College Of Engineering And Research, Talegaon Dabhade, Pune
CGPA - 8.93

Higher Secondary Education (HSC)

2019 - 2020

Sant Gadge Baba University, Amaravati

Bhartiya Mahavidhyalaya Rajapeth, Amaravati
Marks - 61.08 percentage

Senior Secondary Education (SSC)

2017 - 2018

Sant Gadge Baba University, Amaravati

Gajanan Vidhyalaya Akoli Jahangir, Akola
Marks - 91.20 percentage

Certifications

Cources And Hackathons

IBM PY010EN Python For Data Science

Cognitive Classes, (Remote)

December - 2020

IBM ML0101EN Machine Learning With Python

Cognitive Classes, (Remote)

July - 2023

HackOn with Amazon - Season 3

Unstop, (Remote)

December - 2023

Retirement Industry AI Hackathon: T3 Hack By TIAA

Unstop, (Remote)

January - 2024

Projects

Diamond Security System

It utilizing advanced authentication techniques to differentiate between genuine and counterfeit diamonds. Integrated blockchain for secure data storage and transparency, reducing fraud risks. Additionally, designed a personalized recommendation system for tailored diamond suggestions, enhancing the customer experience in the jewelry industry.

currently Working On

Underwater Target Detection

Directed an underwater target detection project dedicated to identifying underwater rocks and mines during submarine operations. Utilized machine learning algorithms such as Random Forest, SVM, and ensemble methods, achieving a remarkable accuracy rate. Demonstrated expertise in deploying machine learning solutions for complex underwater security challenges.

February 2023

Multiple Disease Prediction

Prediction of multiple diseases, includes diabetes, heart disease, chronic kidney disease, and cancer. By employing various classification algorithms such as KNN, SVM, Decision Tree, Random Forest, Logistic Regression, and Gaussian Naive Bayes, the study aims to determine the most accurate predictive model. Using diverse datasets for each disease, the ultimate goal is to create a user-friendly web application facilitating early detection and diagnosis, potentially saving lives at risk from untreated conditions.