Saloni Kushwaha

Computer Science Graduate | Full-Stack & AI/ML Developer

Delhi, IN.

About

Highly motivated Computer Science graduate with a strong foundation in software development, object-oriented programming, and system design. Proven expertise in building scalable web applications, full-stack solutions, and AI-powered tools, consistently delivering robust and efficient software that addresses real-world challenges. Eager to apply advanced technical skills in AI/ML, NLP, and full-stack development to innovate and drive impactful solutions across various industries.

Education

University of Delhi

Delhi, Delhi, India
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MSc Computer Science Grade: CGPA: 7.0

Banaras Hindu University

Varanasi, Uttar Pradesh, India
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BSc Computer Science Grade: CGPA: 8.45

Awards

First Prize, HackArena Hackathon

HackArena

Won first prize among 268 teams for developing an innovative multilingual sarcasm detection model.

Event Organizer, Robo Race

Sankalan Tech Fest

Successfully initiated and conducted the first-ever Robo Race event at Sankalan tech fest, demonstrating strong leadership and organizational capabilities.

Common University Entrance Test (PG) Score

Common University Entrance Test

Achieved a score of 177/300, reflecting strong academic aptitude for postgraduate studies.

Certificates

Data Manipulation Using Python

Udemy

Java Certification

HackerRank

Skills

Programming Languages

Python, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Scikit-learn, C++, C, Java, HTML, CSS, JavaScript.

Tools & Frameworks

FastAPI, Streamlit, Node.js, Power BI, Advanced Excel, MySQL, Git, GitHub, YOLOv11, React.js, AWS S3, Telegram Bot, Autodistill, Lambda Function, DynamoDB, NLTK, Word2Vec.

Core Domains

Machine Learning & AI, Deep Learning, Natural Language Processing (NLP), Database Management Systems, OOPS, Data Structures & Algorithms.

Data Analytics

Data Preprocessing & Cleaning, Exploratory Data Analysis (EDA), Data Visualization, Statistical Analysis (Descriptive & Inferential), Data Modelling, SQL.

Projects

Emotion Detection System

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Summary

Developed a full-stack NLP system for multi-class emotion classification, leveraging deep learning to process over 20,000 sentences.

AutoBill - CV-Powered Billing System

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Summary

Developed an end-to-end invoice automation platform that detects 15+ item categories using computer vision and deployed with a responsive React frontend and FastAPI backend.

Book Recommendation System

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Summary

Built a hybrid recommendation system leveraging collaborative filtering and matrix factorization on a large-scale book dataset.

Data Sales Analysis

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Summary

Analyzed and visualized sales data using SQL and Power BI to identify customer trends and drive revenue growth.