Transforming Data into Machine Learning Models
I'm Ansh Mishra, a Machine Learning Engineer specializing in building AI-powered applications that solve real-world problems. Currently pursuing B.Tech CSE at IILM, Greater Noida.
from sklearn.ensemble import RandomForestRegressor
import xgboost as xgb
# Transforming raw data into predictive models
class DataScientist:
def __init__(self):
self.skills = ["Data Cleaning", "Feature Engineering", "Model Training"]
self.tools = ["Python", "Scikit-learn", "XGBoost"]
Technical Skills
Machine Learning
Programming
Frameworks & Tools
Featured Projects
GOALdigger – Football Prophecies
Football match predictor using ML models, with match outcome forecasts, scoreline predictions, Elo ratings, rolling stats, and fan-style emotional commentary generation.
MarketMindAI
Real-time stock market news summarizer that uses NLP to condense financial news into quick, actionable insights.
Smart Air Quality Predictor – Delhi AQI
Machine learning model predicting Delhi AQI levels with strong accuracy. Model Performance: MAE: 16.78 µg/m³, RMSE: 27.55 µg/m³, R² Score: 0.88.
My Journey
First Step into AI/ML
Discovered my interest in Artificial Intelligence and Machine Learning. Started exploring Python, ML concepts, and basic projects.
First Major Project
Built my first AI/ML project, laying the foundation of my journey as an ML Engineer. This experience strengthened my problem-solving and coding skills.
Boards Completed
Successfully completed my 12th-grade boards, balancing academics with continuous AI/ML learning.
B.Tech in Computer Science (AI/ML Specialization)
Currently pursuing my undergraduate degree at IILM, Greater Noida, and actively building projects in ML, AI, and Data Science.
Certifications
Build a Computer Vision App with Azure Cognitive Services
Frequently Asked Questions
I'm Ansh Mishra, a Machine Learning enthusiast and aspiring AI Engineer. I love building intelligent systems that combine data, creativity, and real-world impact.
My core tools are PythonData analysis, ML modeling, and backend development, Scikit-learnTraditional ML algorithms and model evaluation, XGBoostGradient boosting for tabular data problems, PandasData manipulation and analysis, and visualization libraries like MatplotlibCreating static, animated, and interactive visualizations & SeabornStatistical data visualization.
Absolutely! I'm actively seeking opportunities where I can contribute my skills in AI/ML while learning from real-world challenges.
Let's CollaborateYou can reach me through Email, LinkedIn, or GitHub (all linked below). I'd love to connect!
Get In Touch
Feel free to reach out for collaboration or just to say hello! I'm always open to discussing new projects and opportunities.