Mohd
Ajeem
Data Scientist & Machine Learning Engineer building production-ready AI systems using LLMs, Deep Learning, and NLP. Delivered 10+ real-world projects with measurable impact on prediction accuracy and automation efficiency including healthcare AI, Stock, recommendation systems, and automation tools.
Who I Am
Hi,I'm Mohd Ajeem — a final-year B.Tech in Artificial Intelligence & Data Science candidate, graduating soon, with hands-on experience in building real-world AI and machine learning solutions at Dr.A.P.J Abdul Kalam Technical University Lucknow, and I've spent the past year working on impactful AI/ML projects.
I work extensively with Python, SQL, and advanced ML/DL frameworks such as Scikit-learn, TensorFlow, and PyTorch — building end-to-end AI systems with experience in NLP, model deployment, and scalable solutions using Docker, Git, Render, Streamlit, and Google Cloud Platform (GCP).
I'm particularly passionate about Generative AI and Large Language Models, especially building RAG pipelines that reduce hallucinations and deliver reliable, domain-specific answers.
I'm looking for opportunities as a Junior AI/ML Engineer, Junior Data Scientist, Python Developer, Data Analyst, Applied Scientist, where I can apply my skills, learn from real-world challenges, and grow with a great team.
Certified
Technical Skills
Featured Projects
Short Term Price movement predictor using order book data
I built a Short-Term Price Movement Predictor using order book data. It takes bid-ask prices and volumes, creates features like spread and order imbalance, and predicts whether price will go up or down. I deployed the trained ML model using Flask with a simple web interface.
Chronic Kidney Disease Predictor Early Stage
Developed a machine learning model to predict early-stage Chronic Kidney Disease using clinical patient data. Built a robust pipeline including data preprocessing, feature engineering, and model training for reliable diagnosis.
👩💼 Employee Attrition & Salary Analysis
Built an HR analytics model to analyze employee attrition patterns and salary trends using structured data, identifying key factors influencing employee turnover.
Music (Spotify) Popilarity Prediction
Built a machine learning system to predict song popularity using audio features such as energy, danceability, tempo, and valence with an interactive Streamlit interface.
Stock Price prediction
Developed a machine learning model to predict stock price trends using historical financial data and time-series features.
New York House price Prediction
Built a regression-based ML model to estimate housing prices based on location, features, and market trends.
Experience
Academic Background
(Artificial Intelligence & Data Science )
PCM
All Repositories
Kaggle & Learning Work
Kaggle Competitions & Datasets
Analyzed 18+ datasets using advanced EDA, feature engineering, and predictive modeling. Participated in 10+ Code, consistently ranking in top quartiles.
Continuous Learning & Notebooks
Built and maintained 200+ Jupyter Notebooks covering Python, SQL, ML, AI, NLP, CV, and Deep Learning concepts.
Competitive Programming
Solved 120+ LeetCode problems focusing on data structures, algorithms, and optimization techniques.
Let's Build
Something Intelligent
I'm actively looking for AI/ML Engineer, Data Scientist, or Python Developer roles. If you have an interesting problem to solve or a team I could grow with — let's talk.
Get In Touch✈️
Passionate about innovation and open to co-founder opportunities. Available for relocation across India, Dubai, Saudi Arabia, and Qatar.✈️