PYTHON DATA SCIENCE DATA ANALYTICS DATA VISUALIZATION MACHINE LEARNING DEEP LEARNING PYTHON DATA SCIENCE DATA ANALYTICS DATA VISUALIZATION MACHINE LEARNING DEEP LEARNING

Hello! I’m

Data Science & Machine Learning

I build data-driven solutions using Python, Machine Learning, and Data Visualization.

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About Me

I am a Data Science and Machine Learning practitioner skilled in Python, Data Visualization, and Statistical Analysis. I focus on transforming raw data into actionable insights and building intelligent solutions for real-world challenges.

With hands-on experience using Pandas, NumPy, Scikit-learn, TensorFlow, and modern visualization tools, I develop data-driven models and analytical solutions that support informed decision-making.

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Languages

Python MySQL C C++ HTML CSS JavaScript

Mathematics

Probability & Statistics Hypothesis Testing Regression Correlation Linear Algebra

PY Libraries

NumPy Pandas Matplotlib Seaborn Scikit‑learn TensorFlow PyTorch Flask

Tools

Jupyter Notebook VS Code Git GitHub Tableau Power BI Excel

My Journey

PHASE 01

Programming Foundation

Started with Python fundamentals, logic building & core concepts.

PHASE 02

Pure Python Project

Built logic to suggest connections of users based on their interests using Python.

PHASE 03

Learning NumPy

Worked with arrays and fast numerical computations.

PHASE 04

Mastering Pandas

Handled real-world datasets through cleaning & transformation.

PHASE 05

Exploring Data Visualization

Turned data into insights using plots and charts.

PHASE 06

Gaining Practical Experience

Worked on real datasets and applied data analysis during internship.

PHASE 07

Working with Real Data

Processed unstructured data into structured, usable formats using Python.

PHASE 08

Experimenting with Basic ML Algo

Compared multiple regression and ML models.

PHASE 09

Decision Tree Implementation

Built first models for prediction and classification.

PHASE 10

Support Vector Machines Implementation

Used advanced algorithms and tuning techniques.

PHASE 11

Building Real-World Models using Random Forest

Worked on large datasets to create accurate predictions.

PHASE 12

Solving Business Problems using Random Forest

Used ML to optimize real-world decision-making.

PHASE 13

NextFlix Recommendation System

Built recommendation systems using data patterns.

Work Experience

AI Intern

IBM SkillsBuild – Edunet Foundation

May 2026 – Present

Working as an AI Intern under the IBM SkillsBuild Program by Edunet Foundation, focusing on Artificial Intelligence, Machine Learning, and Deep Learning using Python.

Offer Letter

Data Science Intern

Maincrafts Technology

January 2026 – March 2026

Working as a Data Science & Data Analytics Intern using Python, focusing on data cleaning, analysis, visualization, and extracting meaningful insights from real-world datasets.

Offer Letter

Certificate

LOR

Achievements

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Odoo x Parul University Hackathon 2026 – Finalist

Selected as a finalist for the Odoo Hackathon for developing innovative and problem-solving solutions.

May 2026

Odoo × Parul University

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GenAI – Value Added Course

Certified in GenerativeAI (16 Hours) – Parul University (NAAC A++) in collaboration with Rishabh Software

July 2025 - Sept 2025

Parul University × Rishabh Software

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DevOps Meets AI

Hands-on session on AI-driven DevOps & Cloud Integration – AWS Cloud Club, Parul University (NAAC A++)

June 2025

Parul University × AWS Cloud Club

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Vadodara Hackathon 6.0

Participated in a multi-day hackathon focused on innovation, problem-solving, and teamwork – Parul Innovation & Entrepreneurship Research Centre

September 2025

PIERC × Parul University

Projects

NextFlix-Movie Recommendation System

A data science and ML project that uses Apriori association rule mining to build a movie recommendation system with Flask and analyze relationships using support, confidence, and lift.

Python Flask Pandas Apriori Algorithm Association Rule Mining

View Demo Source Code

Pre-Owned Vehicle Price Estimation

A Machine Learning project that predicts used car resale prices using Random Forest Regression, with feature engineering, exploratory data analysis, model comparison, and hyperparameter tuning on real-world CarDekho vehicle data.

Python Scikit-learn Pandas Random Forest Data Analysis

Project Pipeline Source Code

Holiday Package Prediction

A Machine Learning classification project that predicts customer interest in wellness tourism packages using Random Forest, with feature engineering, exploratory data analysis, model comparison, and hyperparameter tuning on real-world travel customer data.

Python Scikit-learn Pandas Random Forest Data Analysis

Project Pipeline Source Code

More Projects

Certifications

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AWS Academy Graduate - Cloud Foundations

AWS Academy

Issued: March 2026

Credential ID: Available on Credly

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Artificial Intelligence Fundamentals

IBM - IBM SkillsBuild

Issued: May 2026

Credential ID: 87d2f053-12e0-4d95-bc39-88c5bdc38528

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Data Science Job Simulation

British Airways - Forage

Issued: February 1, 2026

Credential ID: rPkqX52ZxXQCEQvJT

More Certifications

Contact Me

inquiry.anmol20@gmail.com

Vadodara[390025], Gujarat, India