Open to opportunities

Mukesh Yadav

@mukeshyadav

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Aspiring data scientist with expertise in machine learning and analytics.

United States

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What I'm looking for

I am seeking a role that fosters innovation and allows me to leverage my data science skills to solve real-world problems while contributing to a collaborative team environment.

I am a dedicated data science graduate student at Clarkson University, where I am honing my skills in machine learning, data analysis, and statistical modeling. With a strong academic background, including a Master of Science in Data Science and a Bachelor of Technology in Mechanical Engineering, I have developed a solid foundation in both theoretical and practical aspects of data science.

My experience as a Graduate Teaching Assistant has allowed me to guide students in Python and SQL, significantly enhancing their analytical problem-solving skills. Additionally, my role as an Associate Lecturer in Nepal involved teaching over 200 undergraduate students, where I integrated advanced tools like TensorFlow and Scikit-Learn into the curriculum, fostering a deeper understanding of predictive analytics. I am passionate about using data to drive insights and improve decision-making processes.

Experience

Work history, roles, and key accomplishments

Current

Graduate Teaching Assistant

Current

Clarkson University

Sep 2023 - Present (1 year 8 months)

Guided students in Python and SQL for data mining and probability courses, improving analytical problem-solving by 30%. Conducted hands-on lab sessions using Scikit-Learn, TensorFlow, and PyTorch, demonstrating supervised and unsupervised learning techniques. Designed interactive Tableau and Power BI dashboards to visualize statistical concepts for over 50 students.

Python SQL scikit learn TensorFlow PyTorch Tableau Power BI Data Analysis Machine Learning Teaching

Heart Disease Prediction Project

Self Employed

Nov 2024 - Dec 2024 (1 month)

Conducted exploratory data analysis on heart disease risk factors, developed predictive models using Scikit-Learn, and created an interactive Tableau dashboard for visual insights. Achieved a 15% improvement in model accuracy through refined feature selection and hyperparameter tuning.

Python Pandas scikit learn Tableau Data Analysis Logistic Regression Decision Trees

Associate Lecturer

Softech Engineering College

Dec 2018 - Oct 2023 (4 years 10 months)

Taught over 200 undergraduate students Mathematics and Physics, integrating Python and machine learning tools to enhance statistical modeling. Designed quizzes and projects using NumPy and Pandas, increasing student engagement by 40%. Led STEM programs on AI and Deep Learning, mentoring students and increasing participation in advanced coursework.

Python TensorFlow NumPy Pandas Teaching Data Analysis Machine Learning Curriculum Development Mentoring

NYC Collision Data Analysis Project

Self Employed

Aug 2023 - Sep 2023 (1 month)

Processed and analyzed NYC collision data to identify risk zones for traffic safety improvements. Enhanced geospatial query processing speed and created visualizations to uncover correlations between speed limits and accident rates, supporting traffic regulation adjustments.

Python Pandas Data Analysis Geospatial Data Visualization Urban Planning

Anti-Money Laundering Detection Project

Self Employed

Mar 2023 - Apr 2023 (1 month)

Built a Graph Neural Network model to detect financial anomalies, improving fraud detection recall by 20%. Applied advanced techniques for identifying laundering patterns and implemented SHAP for model interpretability, aiding compliance monitoring.

TensorFlow Anomaly Detection Fraud Detection Machine Learning SHAP Data Analysis Compliance Monitoring Model Interpretability

Education

Degrees, certifications, and relevant coursework

Clarkson University

Master of Science, Data Science

2024 - 2025

Grade: 3.72/4.0

Activities and societies: Relevant coursework includes Applied Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, Data Warehousing, and Big Data Processing.

Pursuing a Master of Science in Data Science with a focus on applied machine learning, natural language processing, computer vision, and big data processing. Achieved a GPA of 3.72/4.0.