Python


Innovative and detail-oriented Mechanical Design Engineer with 9 years of experience in designing and optimizing complex mechanical systems. Recently completed a comprehensive Master's in Data science and Artificial intelligence course, gaining hands-on experience in data analysis, model building, and algorithm development. Seeking to leverage technical and analytical skills to transition into a Machine Learning Engineer, Data science and Data analyst role.
Projects:
Credit Risk Prediction Model -
Customer Segmentation for Marketing
Customer Churn Prediction
Sentiment Analysis of Amazon Reviews
Projects:
Projects:
Projects:
Programming Languages: Python, SQL
Machine Learning: Supervised & Unsupervised Learning, Regression, Classification, Clustering, Neural Networks
Natural Language Processing: NLTK, TF-IDF, Word2Vec
Data Analysis: Data Preprocessing, Feature Engineering, Data Visualization
Tools & Frameworks: TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter Notebooks, Excel, PowerPoint
Visualization tools: Power BI, Tableau, Seaborn, Matplotlib
Mechanical Design: CAD (NX, Catia), Product Lifecycle Management (PLM), GD&T, Sheet metal, Product Design & Development
Python
SQL
Power BI
Tableau
MS Excel
UG NX
Catia V6
IBM certified Data scientist