Himanshu Vimal

As aspiring AI/ML Engineer with a strong foundation in Python, Machine Learning, Deep Learning, Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and OpenAI API. Proficient in data preprocessing, data visualization, statistical analysis, SQL, Microsoft Excel, Power BI, and Tableau for data-driven decision-making. Skilled in TensorFlow, Flask, Git, GitHub, Docker, and Kubernetes, with knowledge of supervised and unsupervised learning algorithms, model evaluation, and AI application development.

Passionate about building scalable AI solutions and leveraging data to solve real-world business problems while continuously learning emerging AI technologies

Artificial Intelligence & Machine learning Trainee - ARDENT COMPUTECH PRIVATE LIMITED

(2024-06 - 2024-09)

• Built a Student Placement Prediction ML model using Python to classify placement outcomes based on academic and student data.
• Performed data cleaning, preprocessing, and feature engineering to prepare structured datasets for model training.
• Implemented Logistic Regression and regression-based models using Scikit-learn to improve prediction accuracy.
• Evaluated model performance with confusion matrix, accuracy score, and validation testing.
• Used Pandas, NumPy, Matplotlib, and Scikit-learn for data analysis, visualization, and end-to-end ML pipeline execution.

Data Analyst & Data Scientist - IoTechworld Avigation Pvt Ltd - Gurugram, IN

(2025-08 - 2025-11)

• Analyzed, cleaned, and transformed large datasets using Python and SQL, ensuring high-quality data for reporting, analytics, and business decision-making.
• Built and evaluated Machine Learning models using Regression, Classification, Decision Trees, SVM, and K-Means Clustering, improving prediction accuracy and supporting business insights.
• Performed exploratory data analysis (EDA) and created interactive dashboards using Power BI, Tableau, Excel, and Python to visualize trends, KPIs, and business performance.
• Applied statistical analysis, including Probability, Precision, Recall, F1-Score, and Bias-Variance Tradeoff, to evaluate model performance and optimize analytical solutions.
• Developed AI-powered data analysis workflows using Python and Generative AI concepts to automate data processing, generate insights, and improve operational efficiency.

Bachelor of Technology - Computer Science Engineering - Gautam Buddha University (2022-08 - 2026-05)

Class XII - Senior Secondary - Lord Krishna Public School, Hathras (2021)

Class X - Secondary - Lord Krishna Public School, Hathras (2019)