AKSHIT TANWAR

B.Tech CSE (AI & ML) student · Aspiring AI/ML Engineer

Gurgaon, Haryana, India

@akshit_tanwar

0 followers

🎓 B.Tech in Computer Science Engineering (AI & ML) at KR Mangalam University · Graduating 2027

About

Aspiring AI/ML engineer with a foundation in Python, SQL, data analysis, and machine learning projects. Seeks internship opportunities to apply machine learning, NLP, and computer vision skills in a professional environment.

Experience

AI/ML Intern

Clavrit Digital Solutions Pvt. Ltd

May 2026 – Aug 2026

Developed and evaluated machine learning models using Python. Worked on Python-based machine learning and data preprocessing tasks. Cleaned, validated, and prepared image datasets for the MotoCatch AI computer vision project. Supported image processing, dataset-label synchronization, and model workflow improvements. Used Pandas and NumPy for data processing and analysis.

Education

2027

B.Tech in Computer Science Engineering (AI & ML)

KR Mangalam University

Computer Science & Engineering (AI & ML) · Aug 2023 – Jun 2027

Computer Science & Engineering (AI & ML) · Aug 2023 – Jun 2027
2023

Class X (Secondary)

Tagore Public School

2022 – 2023

2022 – 2023
2021

Class XII (Senior Secondary)

Tagore Public School

2020 – 2021

2020 – 2021

Skills

3 to 6 months

Data Analysis Machine Learning Image Processing Data Preprocessing

<3 months

SQL Oop Java NumPy Python Pandas OpenCV Streamlit scikit-learn Deep Learning Advanced DBMS Computer Vision Natural Language Processing Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git GitHub VS Code

Projects

SentimentAI - Customer Review Analyzer

NLP, Python

Developed an NLP-based application to classify customer reviews as positive, negative, or neutral. Integrated a pretrained sentiment analysis model to analyze customer feedback. Built an interactive dashboard to visualize sentiment distribution and review insights.
AI Resume Analyzer

Python, NLP, Streamlit

Built an AI-based Resume Analyzer using Python and basic NLP techniques to evaluate resumes. Implemented skill extraction and keyword matching to identify relevant skills. Generated resume scores and provided improvement suggestions. Developed an interactive user interface using Streamlit.
Natural Language Scheduling I Resorcia

NLP, Python

Developed a Natural Language Scheduling feature that enables users to interact with scheduling workflows through natural language instructions. Implemented AI-driven capabilities to simplify scheduling operations and improve user interaction with the platform. Contributed to integrating the feature into the existing Resorcia platform, enhancing workflow efficiency and usability.

⚽ Extracurricular activities

Student Ambassador

Supported campus events, student engagement activities, and university outreach. Collaborated with teams to promote student participation.

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