Aspiring Python & Data Science Specialist

Ashish Kumar Upadhyay +91-893*******

# *************@*****.***

Bachelor of Engineering in Computer Science § GitHub Profile Apex Institute of Technology, Chandigarh University, Mohali ï LinkedIn Profile Education

•Bachelor of Engineering in Computer Science and Engineering(AI & ML) 2021-25 Apex Institute of Technology, Chandigarh University, Mohali CGPA: 7.54 Projects

•UniAirs — World’s Smallest Pocket AC

Sep 2023 – Present

– Spearheaded the development of UniAirs, a compact cooling solution, focusing on IoT-based control systems and thermal efficiency optimization for consumer electronics.

– Collaborated with cross-functional teams for hardware-software integration, ensuring seamless communication between embedded systems and mobile application interfaces.

– Managed project documentation and prototype iterations, contributing to product design and performance analysis using Python-based simulation tools.

•AI-based Healthcare Chatbot & Symptoms Checker (NLP Project) Aug 2024 – Sep 2024

– Engineered a symptom-based healthcare chatbot using advanced Natural Language Processing (NLP) algorithms, including LSTM, GRU, and Bidirectional LSTM, achieving ensemble model accuracy of 93.15%.

– Automated symptom diagnosis and remedy recommendation systems, significantly improving healthcare triage efficiency and user interaction experiences.

– Tools & Technologies: Python, TensorFlow, Keras, scikit-learn, Pandas, Matplotlib, Google Colab, Kaggle datasets.

•Object Detection & GUI for Surveillance Drone (Computer Vision Project) Apr 2023 – Jul 2023

– Developed a real-time object detection system using YOLOv8 model, integrated into a custom GUI (Tkinter) for surveillance drones, achieving 97.8% detection accuracy using OpenCV and Machine Learning algorithms.

– Designed and implemented Computer Vision pipelines to process drone-captured video feeds for enhanced situa- tional awareness in security operations.

– Executed agile development cycles using PyCharm IDE, improving GUI responsiveness and visualization for real- time monitoring tasks.

– Tools & Technologies: Python, OpenCV, YOLOv8, Tkinter, NumPy, Scikit-learn, PyCharm, Agile Methodologies Experience

•Robotics and IoT Research Internship July 2023- Dec 2023 SnSilos Online

– Developed a Python-based Analytical Dashboard (UI) for visualizing UAV aerial imagery, enabling real-time plant disease pattern analysis using Computer Vision techniques and Machine Learning algorithms (CNNs, Transfer Learning, SVM).

– Conducted a technical survey and authored a research paper in LaTeX, analyzing evolving ML methodologies in precision agriculture, while designing a modular research pipeline for data preprocessing, feature extraction, and algorithm performance comparison.

Technical Skills and Interests

Languages: Python, SQL, HTML+CSS

AI & ML Tools: Google Colab, Jupyter Notebook, Pycharm, VScode, Git, Github, Power BI, Docker Libraries/Frameworks: pandas, numpy, matplotlib, Scikit-learn, Tkinter, Streamlit, FastAPI, Web Scrapping, XGBoost, TensorFlow, OpenCV

Cloud/Databases: PostgreSQL, Relational Database(mySql) Relevant Coursework: Data Structures & Algorithms, Operating Systems, Object Oriented Programming, Database Management System, Software Engineering

Areas of Interest: Machine learning, AI Model Development, Data Science, Analytics, Gen-AI, Computer Vision Soft Skills: Problem Solving, Self-learning, Presentation, Adaptability Achievements

•Publications: Published 5 Research Papers on Machine Learning Applications in Sentiment Analysis, Healthcare, Price Prediction, and Computer Vision (YOLOv8-based Number Plate Recognition) at reputed conferences including IIRA 4.0, ICDAM 2024, and ASIANCONS 2023.

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