👤 Rishav Jha
🎓 Education
Kalinga Institute of Industrial Technology (2021–2025)
B.Tech in Computer Science & Engineering
Minor: Financial Economics using Data Analytics
Relevant Courses: DSA, OS, DBMS, Algorithms
Kathmandu Model Secondary School (2018–2020)
High School
📖 Table of Contents
- 1. About & Education (Page 1)
- 2. Projects (Page 3)
- 3. Publications (Page 4)
- 4. Skills (Page 5)
- 5. Coding Profiles (Page 6)
- 6. Research Profiles (Page 7)
- 7. Achievements & Hobbies (Page 8)
- 8. Contact Me (Page 9)
💼 Projects
1. Advanced Ecommerce Recommendation System | Python, NLP, BoW, TF-IDF, Word2Vec Link
- Engineered a content-based recommendation system with results within 100 milliseconds.
- Supercharged product recommendations on e-commerce platforms for 1 million products.
- Attained a remarkable 98% accuracy rate with NLP Models, including Bag of Words and TF-IDF.
- Seamlessly integrated the Amazon product advertising API for enhanced functionality.
2. Handwritten Digit Recognition | Python, ML, KNN, AI, Numpy, Tensorflow Link
- Employed KNN algorithm to achieve a recognition accuracy of 95% on handwritten digits.
- Fine-tuned the ML model to enhance performance, resulting in a 20% accuracy improvement.
- Implemented K-fold cross-validation, ensuring model robustness and reducing variance by 15%.
- Employed optimized KNN algorithms, reducing computation time by 25% with high accuracy.
- Engineered an AI architecture with efficiently processing large datasets with a 30% improvement.
3. Air Quality Prediction | Python, AI, ML, Pandas, Linear Regression, Logistic Regression Link
- Developed a Python-based ML model predicting pollution levels with 90% accuracy.
- Demonstrated proficiency in Python, ML, specifically Linear Regression, for air quality predictions.
- Achieved 92% accuracy in predicting air quality index using a Linear Regression model in Python.
- Validated through 90% data analysis, ensuring high-quality input and reliable predictions.
- Conducted comprehensive data analysis, ensuring a clean dataset with 98% data completeness.
4. Face Recognition System | Python, ML(KNN), OpenCV Link
- Implemented the K-Nearest Neighbor (K-NN) classification algorithm for face recognition.
- Utilized OpenCV and HaarCascades for precise frontal face detection under 700 milliseconds.
- Achieved an outstanding error rate below 3% on a dataset comprising 1,000 images.
5. Invisible Cloak – Real-Time Camouflage System | Python, OpenCV Link
- Engineered a real-time invisibility effect using background subtraction and color detection.
- Designed a cloak detection system that replaces a specific color with a static background.
- Achieved seamless real-time performance with efficient OpenCV image processing.
- Tackled challenges like lighting variation and blending accuracy for live video streams.
📚 Publications
1.
Deep Learning Architectures for Multimodal Sentiment
Analysis
–
IEEE ICoICC 2025
Presented a research paper titled "Deep Learning Architectures for
Multimodal Sentiment Analysis" at the 3rd International Conference on
Intelligent and Cloud Computing (ICoICC-2025), held on May 2–3, 2025.
The event was organized by the Center for Cybersecurity, Department of
Computer Science and Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed
to be University), Bhubaneswar, in association with IEEE Kolkata and
IEEE Bhubaneswar Sections.
2. Deep Learnings for Financial Sentiment Analysis –
IEEE ESIC 2025
Presented a research paper titled "Deep Learning for Financial
Sentiment Analysis" at the 5th International Conference on Emerging
Systems and Intelligent Computing (ESIC 2025), organized by IEEE at
KIIT University, Bhubaneswar, held on 08–09 February 2025.
3.
Everyday life in Nepal's hill communities: An exploration of
cultural practices and environmental adaptations
Presented a paper titled "Everyday life in Nepal’s hill communities:
An exploration of Cultural Practices and Environmental Adaptations" at
the 2nd National Conclave on Viksit Bharat @2047, organized by KIIT
University. The event focused on Mission LiFE—Driving Sustainable
Development Through Individual and Collective Action.
4.
Navigating Growth, Urbanization, and Debt: A Multidimensional
Analysis of Nepal's Economic Transformation (2010-2022)
Presented a paper titled "Navigating Growth, Urbanization & Debt: A
Multidimensional Analysis of Nepal’s Economic Transformation" at the
2nd International Conference on Sustainable Energy Economics in the
Asia-Pacific Region, held at IIT Bhubaneswar in collaboration with the
Asia-Pacific Applied Economics Association(Australia), on 29 March
2025.
5.
Cultural Practices and Environmental Adaptations in Nepal’s Hill
Communities
Presented at India’s Pathway to Sustainable Development Conclave,
(MSCB) University to be published by Nova Science Researchers, New
York.
🛠 Skills
Languages: Python, C++, Java
Web: HTML, CSS, JS, MERN Stack
Backend: Spring MVC, MySQL, PostgreSQL
AI/ML: TensorFlow, Keras, Sklearn, PyTorch
Tools: Git, VS Code, Jupyter, HuggingFace
Page 5 of 9💻 Coding Profiles
LeetCode: jharishav99
HackerRank: jharishav99
CodeChef: jharishav99
Code360 (Naukri): jharishav
InterviewBit: jharishav99
GeeksforGeeks: jharishav99
Page 6 of 9🎯 Achievements
Got Full Scholarship from Indian Government under Study in India (SII) for B.TECH CSE at KIIT University.
🎨 Hobbies
🎤 Stand-up Comedy
🏊 Swimming
🎸 Guitar
♟️ Chess
Page 8 of 9📞 Contact Me
Facebook: jharishav99
Instagram: jharishav__
X (Twitter): jharishav99
Email: jharishav99@gmail.com
Page 9 of 9