Machine Learning C#

Trilok Nath Jha

Dwarka, Delhi ******

701******* **************@*****.*** https://www.linkedin.com/in/trilok-nath-jha/ Jhatrilok02 Internship

Software Development Intern Sep 2024 - Present

Moonpreneur India Pvt. Ltd.

• Gained expertise in C# MVC and stored procedure design for efficient backend development.

• Developing an ML-powered chatbot for the LMS, enabling dynamic answer retrieval using NLP and Flask.

• Integrating chatbot functionality within the C# MVC framework for seamless user interaction. Machine Learning Intern May 2022 - July 2022

Zebo.ai

• Specialized in data preprocessing and predictive modeling using regression algorithms (linear & logistic) on Kaggle datasets.

• Collaborated with experts to design, develop, and optimize ML models for accurate predictions.

• Led bug detection, model refinement, and parameter tuning to enhance predictive accuracy. Projects

World Clock (Time Zone) Java, Java Swing Apr 2023 - May 2023

Utilized the Java Date Time API to access real-time information.

Implemented time zone IDs for various countries.

Displayed up-to-date information accordingly.

GitHub Repository Link: https://github.com/Jhatrilok02/World-clock Stock Market Prediction (Apple 1980-2022) Python, ML, NumPy, pandas Mar 2023 - Apr 2023

Used Kaggle data for analysis, implementing multilinear regression.

Employed Python libraries: Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for preprocessing, training, and testing.

Applied statistical techniques (30-day SMA, 20-day EMA) for data analysis and visualization. GitHub Repository Link: https://github.com/Jhatrilok02/ML-project2_Stock-market-pridiction Iris Classification Python, NumPy, pandas Apr 2024 - May 2024

Developed an end-to-end classification system for iris flowers using Python.

Implemented machine learning algorithms including SVM, Linear Regression, Logistic Regression, and k-Nearest Neighbors.

Achieved optimal accuracy with SVM, fine-tuned parameters, and saved the model for future deployment. GitHub Repository Link: https://github.com/Jhatrilok02/ML-project1/blob/main/iriseclassification.ipynb Certificates

Machine Learning with Python May 2022

Zebo.ai

Solving Competitive Problems using Data Structures July 2023 Human Resource Development Center, LPU

Desktop Application Development using JAVA Apr 2023 Human Resource Development Center, LPU

Natural Language Processing May 2024

Coursera

Technical Skills

Languages: Python, Java, SQL, Html, CSS, C#

Technologies/Frameworks: Java Swing, Machine Learning, Google colab, Ubuntu, Asp.Net Skills: Data Structures and Algorithms, Problem-Solving, Oops Concept, Machine Learning algorithms Education

Lovely Professional University Punjab 2021 – 2025

Computer Science and Engineering — CGPA: 8.05 Jalandhar, Punjab Adarsh Jain Dharmic Siksha Sadan Delhi 2018 – 2019 12th with Science — Percentage: 72.6% Najafgarh, New Delhi Bijwasan, New Delhi

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