Devansh Tyagi

WORK HISTORY

EDUCATION

ABOUT DEVANSH TYAGI

Hi, I’m Devansh Tyagi.I am a Data Science and AI professional with strong hands-on experience across data analysis, machine learning, and end-to-end solution development. I specialize in transforming raw data into actionable insights through statistical analysis, predictive modeling, and interactive visualizations.I have practical experience working across the full data science lifecycle, including data preprocessing, feature engineering, model development, evaluation, and deployment. During my internships, I developed and optimized machine learning models using Python, Pandas, NumPy, and Scikit-learn, and built interactive analytical applications using Streamlit to deliver real-time insights to stakeholders.As an AI Intern at Labmentix, I worked on designing, training, and deploying machine learning models, focusing on performance optimization and usability. I developed end-to-end ML pipelines and interactive dashboards that showcased predictive capabilities in real-world scenarios. Earlier, as a Data Scientist Intern at GAO Tek Inc, I engineered automated Python workflows to clean, preprocess, and validate large Excel datasets, significantly improving data quality and operational efficiency.In addition to ML, I have strong foundations in SQL, data visualization, and exploratory data analysis, and I regularly use Power BI, Tableau, and Matplotlib to communicate insights effectively. I also bring solid problem-solving skills, demonstrated by my LeetCode rating of 1986 (Top 8%), reflecting a strong grasp of algorithms and logical thinking.My academic background includes a B.Tech in Electrical Engineering from (GPA: 7.89/10), where I developed a strong analytical mindset and quantitative foundation. My project work spans domains such as healthcare analytics, time-series forecasting, and computer vision, with applications ranging from risk prediction to real-time behavior classification.I am passionate about data-driven decision-making, machine learning, and applied analytics, and I am seeking opportunities as a Data Scientist, Machine Learning Engineer, or Data Analyst, where I can leverage my skills to deliver scalable, impactful solutions that drive business value.Tech Stack :Programming & Querying: Python, SQL, C++Data Science & ML: Scikit-learn, TensorFlow, KerasData Analysis & Libraries: Pandas, NumPy, SeabornVisualization & Apps: Power BI, Tableau, Matplotlib, StreamlitTools & Workflow: Git, Jupyter Notebook