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Full Profile

About Pranav Kumar

Aspiring Data Scientist • Machine Learning Engineer • Deep Learning Enthusiast.
Turning raw data into intelligent solutions.

+91 9311388454
d.sci.pranav@gmail.com
LinkedIn
GitHub
Summary

Professional Summary

Aspiring Data Scientist skilled in machine learning, deep learning, and data-driven problem solving. Proficient in Python, SQL, and statistical analysis for building and deploying predictive models.

Strong in EDA, feature engineering, and data visualization using modern data science tools. Familiar with AI tools and capable of delivering high-quality results in fast-paced, deadline-driven environments.

My work includes a published IEEE Research Paper, a hackathon top-4 finish, a Data Science Internship, and multiple production-grade ML/DL systems deployed via Flask and Streamlit.

0 Avg Model Accuracy
0 ML/DL Projects
0 IEEE Publication
0 Technologies
Education

Academic Journey

🎓
2022 – 2026
Galgotias University

B.Tech — CSE (Data Science)

Greater Noida, Uttar Pradesh

Data Science Computer Science
📚
2019 – 2021
S.G. Public Sr. Secondary

Senior Secondary — 11th & 12th

Science Stream · CBSE Board

🏫
2018 – 2019
Rockwell Convent School

Secondary — 10th Grade

CBSE Curriculum

Achievements

Achievements & Certifications

Recognition, research, and real-world experience that define my journey.

🏆
Feb 2026 · Hackathon
Dexterix 5.0 — Technojam

Built "Know Your Roots" — an AI-based gamified platform for exploring Indian culture and ecology using storytelling and quizzes.

4th Place
💼
Nov – Dec 2025 · Internship
Data Science Intern — Prodigy Infotech
  • EDA on Titanic dataset in Python — pattern identification
  • Decision Tree for customer purchase prediction (Bank Marketing)
  • NLP sentiment analysis on social media data
Completed
📄
2025 – 2026 · Research
IEEE Research Publication
  • Breast cancer classification using XGBoost, Random Forest, SVM
  • Data preprocessing, EDA, ROC-AUC & accuracy evaluation
  • Malignant vs benign tumour prediction pipeline
IEEE Published
Technical Skills

Skills & Technologies

Programming Languages

Python SQL C C++ Java HTML
Python95%
SQL80%
C / C++70%

Data Science & ML

Machine Learning Deep Learning Predictive Modeling Classification Regression NLP
Machine Learning88%
Deep Learning85%
NLP78%

Libraries & Tools

Pandas NumPy Scikit-learn TensorFlow Keras Matplotlib Seaborn Jupyter Git / GitHub Flask Streamlit MS Excel

Data Analysis

Exploratory Data Analysis Data Cleaning Feature Engineering Statistical Analysis Data Visualization Grad-CAM TF-IDF Transfer Learning

Visualization & Deployment

Matplotlib Seaborn Flask Web App Streamlit Model Deployment REST APIs
Data Visualization82%
Model Deployment75%
Certifications

Featured Certifications

Continuously upskilling to stay industry-ready.

🗃️
Completed

SQL for Data Science

1 month · DA-101

Mastered SQL queries, joins, subqueries, aggregation techniques, and query optimization for real-world data analysis with relational databases.

SQL Queries Joins Subqueries Aggregation Optimization
📈
Completed

DA/DS Introduction & Excel

1 month · DA-102

Built proficiency in Excel formulae, pivot tables, charts, dashboards, and AI-powered plugins for automated data analysis and visualization.

Excel Pivot Tables Dashboards AI Plugins
🐍
Completed

Python Programming Foundations

1 month · PYT-101

Learned Python syntax, data structures (lists, tuples, dicts, sets), control flow, functions, and modules to build a solid programming foundation.

Python Data Structures Functions Modules
Completed Modules
SQL for Data Science 1 month
DA/DS Introduction & Excel 1 month
Python Programming Foundations 1 month
Upcoming Modules
Intermediate Python & Statistics Next Up
Data Analytics with Python 1 month
Data Visualization Foundations 1 month
Practical Data Analysis & EDA 1 month
Advanced EDA & Data Storytelling 1 month
Experience

My Timeline

Nov – Dec 2025
Data Science Intern — Prodigy Infotech
EDA, Decision Trees, NLP sentiment analysis on real datasets.
Feb 2026
Dexterix 5.0 Hackathon — 4th Place
"Know Your Roots" AI platform for Indian culture exploration.
2025 – 2026
IEEE Research Publication
Breast cancer classification using XGBoost, RF, SVM — published in IEEE.
2022 – Present
B.Tech CSE (Data Science) — Galgotias University
Core studies in ML, DL, statistics, databases, and programming.
Approach

How I Work

🔍
Data-First Thinking

I start every project with deep EDA to understand the data before modeling.

⚙️
Iterative Experimentation

Rapid prototyping, hypothesis testing, and model comparison drive my workflow.

🚀
End-to-End Delivery

From raw data to deployed web app — I own the full ML pipeline.

📊
Performance-Driven

Consistently hitting 97%+ accuracy with well-tuned, production-ready models.

Ready to Collaborate?

Whether it's a challenging data problem, ML project, or research collaboration — let's build something remarkable.

See My Work Get in Touch