Akshat Kumar Tyagi

Aspiring AI/ML Engineer | Data Scientist
Bhopal, IN.

About

Highly motivated B.Tech student specializing in Computer Science with AI & Machine Learning, set to graduate in August 2025. Proven ability to develop and optimize complex ML models, manage large datasets (10,000-50,000 records), and engineer critical features for predictive analytics, as demonstrated in projects like Wizard Wardrobe and Diabetes Prediction using DNN. Eager to leverage strong technical skills in Python (NumPy, Pandas, TensorFlow, Scikit-learn), C++, and SQL, coupled with leadership experience, to contribute to innovative AI/ML and data science initiatives.

Volunteer

BHUMI NGO
|

Volunteer & Campaign Leader

Bhopal, Madhya Pradesh, India

Summary

Volunteered with BHUMI NGO, leading educational awareness campaigns for a period of 25-30 days.

Highlights

Successfully led educational awareness campaigns for 25-30 days, effectively engaging community stakeholders to promote learning and social impact.

Education

Vellore Institute of Technology, Bhopal
Bhopal, Madhya Pradesh, India

B. Tech

Computer Science Engineering with AI & Machine Learning

SKS International Gurukul
Kurukshetra, Haryana, India

High School

Class XII

Saharanpur Public School
Saharanpur, Uttar Pradesh, India

High School

Class X

Awards

VIT Bhopal Cricket Tournament Representative

Awarded By

VIT Bhopal

Represented Vellore Institute of Technology (VIT) Bhopal in the 'Aavahan '23' and 'Aavahan '24' cricket tournaments, fostering teamwork and sportsmanship.

Team Leader, IIT Roorkee Coding Competition

Awarded By

IIT Roorkee

Led a competitive programming team in an IIT Roorkee-hosted coding competition, demonstrating advanced problem-solving and collaborative programming skills.

Languages

English
Hindi

Certificates

Perfect eLearning Oops certified

Issued By

Perfect eLearning

Skills

Programming Languages

C++, SQL, Python.

Tools & Frameworks

NumPy, Pandas, TensorFlow, DBMS, VSCode, Matplotlib, Scikit-learn.

Core Skills

Object-Oriented Programming (OOP), Machine Learning, Deep Learning, Data Preprocessing, Feature Engineering, Model Optimization, Data Analysis, Project Management, Statistical Analysis, Pose Estimation, Clothing Segmentation, Texture Mapping.

Interests

Sports

Cricket, Boxing.

Travel

Travelling.

Projects

Diabetes Prediction using DNN

Summary

Led a project to develop a Deep Neural Network (DNN) model for predicting diabetes, focusing on comprehensive data handling and feature engineering.

Wizard Wardrobe (Machine Learning Project)

Summary

Developed an AI-powered virtual try-on system, integrating pose estimation, clothing segmentation, and texture mapping to enhance user experience.