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Avani Khemka

mailto:avanikhemka23@gmail.com
linkedin.com/in/avanikhemka
github.com/tris010
Jaipur, India

Career Objective

Building scalable intelligent systems and solving real-world engineering challenges. I am a final-year Computer Science Engineering (AI) student focused on building production-ready systems, not just prototypes. With a strong foundation in Machine Learning, Data Science, and Embedded Systems, I thrive on solving complex problems—from automating recruitment workflows to optimizing sensor anomaly detection. I value clean architecture, impact-driven engineering, and continuous learning.

Education

B.Tech in Computer Science Engineering (AI)

JECRC Foundation

2022 – 2026

8.94 CGPA

Skills

Languages:Python, C++, SQL, JavaScript, TypeScriptMachine Learning & AI:Scikit-Learn, Pandas, NumPy, NLP, TensorFlow BasicsTools & Platforms:Git & GitHub, VS Code, ServiceNow, Postman, LinuxCore Domains:Data Science, Embedded Systems, Web Development, System Design

Trainings & Experience

Smart India Hackathon 2023 & 2024, Team Lead & Lead Engineer

2023 – 2024

Led cross-functional teams in two consecutive national hackathons. Architected full-stack solutions for government problem statements (DRDO & Ministry of Tourism). Managed development sprints, code reviews, and final deployment.

PwC Launchpad, Technology Trainee

Mar 2025 - Jun 2025

Selected via competitive AI-proctored assessment. Gained deep exposure to Cybersecurity protocols, Enterprise AI integration, and Python automation. Completed specialized micro-certifications.

Upflairs, Embedded Systems Trainee

Aug 2023

Developed automated control systems using embedded C and Python. Bridged hardware-software interface for real-time sensor data processing.

Certifications

  • Certified Application Developer (CAD) – ServiceNow 2025
  • Certified System Administrator (CSA) – ServiceNow 2025
  • Embedded Systems Certification – Upflairs 2023

Projects Undertaken

Recruitment Automation System

  • Technologies Used: Python, Spacy (NLP), TF-IDF, FastAPI, React.
  • Recruiters spend 70% of their time manually screening thousands of resumes, leading to fatigue and bias.
  • Built an NLP pipeline to extract resume entities (skills, exp) and calculate contextual semantic similarity against job descriptions. Automated interview scheduling via Google Calendar API.

Sensor Data Anomaly Detection

  • Technologies Used: Python, Scikit-Learn, Pandas, Matplotlib.
  • Detecting rare equipment failures in noisy sensor data is critical to prevent downtime but difficult due to class imbalance.
  • Engineered a hybrid ML approach using Isolation Forests and Autoencoders. Preprocessed high-dimensional time-series data to isolate signal noise.

ghumogaon

  • Technologies Used: React, Node.js, Express, MongoDB, Google Maps API.
  • Tourists overcrowd popular spots while hidden gems remain economically stagnant due to lack of visibility.
  • Designed a recommendation engine that surfaces 'underrated' locations based on user preferences. Implemented secure booking flow and interactive maps.

Job Application Tracker

  • Technologies Used: Python, Tkinter, SQLite, Pandas.
  • Spreadsheets are tedious and manual for tracking hundreds of job applications.
  • Created a local database application with a GUI wrapper. Features include status updates (Applied, Interview, Offer). Features include adding jobs, viewing statuses, and simple management.