Machine Learning Engineer with less than a year in Python & Data Science
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Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on experience in machine learning, data analysis, and predictive modeling. Skilled in Python, Scikit-learn, Pandas, and NLP techniques. Experience in building end-to-end machine learning projects including data preprocessing, feature engineering, model training, evaluation, and deployment. Seeking entry-level AI/ML Engineer or Machine Learning Engineer role.
Jabalpur Engineering College
MCA · Computer Application
August 1, 2023 – June 30, 2025
Board Infinty Mumbai
Full Stack Web development
August 1, 2022 – June 30, 2023
Mata Gujri Mahila Mahavidhyala
BCA · Computer Application
August 1, 2019 – June 30, 2022
SYNTECXHUB
Machine Learning Engineer
March 1, 2026 – April 1, 2026
India
Shiva concept solution
Technical Trainner - AI and Machine Learning
October 1, 2025 – Present
India
House Price Prediction
June 24, 2026 – Present
Built house price prediction model using Linear Regression and Random Forest. Processed 10,000+ housing records dataset. Performed data cleaning and feature engineering. Applied train-test split and cross validation. Achieved R2 Score: 0.89 and RMSE: 35,900. Improved model performance using hyperparameter tuning. Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib.
AI Resume Screening System
June 24, 2026 – Present
Developed automated resume classification system using NLP and Machine Learning. Performed resume text preprocessing including tokenization, stopword removal, and cleaning. Applied TF-IDF vectorization for feature extraction from resume text. Trained Logistic Regression classifier for job role classification. Achieved Accuracy: 94 Percent, F1 Score: 0.93, Precision: 0.92, Recall: 0.93. Evaluated model using confusion matrix and classification report. Automated manual resume shortlisting process. Built prediction pipeline for new resume input. Tools/Technologies: Python, Pandas, NumPy, Scikit-learn, NLP, TF-IDF, Jupyter Notebook.
Movie Recommendation System
June 24, 2026 – Present
Developed a content-based movie recommendation system using TMDB 5000 movies dataset. Processed 5,000+ movies metadata including genres, cast, crew, keywords, and overview. Performed data cleaning, null value handling, and feature engineering. Combined multiple features into a single tags column for similarity comparison. Applied CountVectorizer for text feature vectorization. Used cosine similarity to compute similarity between movies. Generated Top-5 similar movie recommendations based on selected movie. Achieved Precision@5: 0.87 for recommendation relevance. Built 5000 × 5000 similarity matrix for fast real-time recommendations. Implemented search-based recommendation functionality. Tools/Technologies: Python, Pandas, NumPy, Scikit-learn, NLP, CountVectorizer, Cosine Similarity, Jupyter Notebook.
Full Stack Web Development
Unknown
June 1, 2026 – Present
Git and Github
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
SQL and Relational Database
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (House Price Prediction, AI Resume Screening, Movie Recommendation) shows a broad interest in applying ML to different domains. The teaching role indicates a willingness to share knowledge and potentially mentor, which aligns well with collaborative team environments. The focus on practical, project-based learning suggests a hands-on approach. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaboration and broader cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and project development, as evidenced by multiple personal projects and a teaching role. The ability to train others suggests good communication and presentation skills, which are valuable for team collaboration and knowledge sharing. However, the short duration of the 'Machine Learning Engineer' role (1 month) and the current 'Technical Trainer' role (started Oct 2025, current) suggest limited real-world industry experience in a dedicated ML engineering capacity. The candidate is currently pursuing an MCA, indicating a strong academic drive.