Headline

Engineer (Data Analysis) at Mercedes Benz Research and Development India pvt ltd

About

Professional Summary: - - Masters in Data Science and Machine Learning from PES University - Strong Mathematical foundation and good in Statistics. - Having hands on experience over python programming language. - Feature engineering in Python – Missing value treatment and outlier handling, transforming variables and reshaping data using Python packages like Numpy, Pandas and Scikit Learn. - Hands on projects on visualization tool Tableau - Having Hands on experience over various Machine learning Algorithms like, Linear and Logistic Regression, KNN, Support Vector Machines(SVM), Decision trees, Random Forest, Gradient Boosting, AdaBoost, XGBoosting techniques and Clustering based algorithms like KMean, Hierarchical, DBScan - Having both theoretical and practical knowledge on all above Machine Learning Algorithms. - Good knowledge over Deep Learning algorithms and hands on with Neural Networks, Artificial Neural Network (ANN), Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). - Hands on experience on the various Computer Vision techniques like Image pre-processing, Image Segmentation, Object detection, Object recognition and basic knowledge on RCNN, Fast RCNN, Faster RCNN, Mask RCNN,YOLO algorithms - Having basic knowledge over Natural Language Processing (NLP) Techniques like, tokenization, stemming and Lemmatization. - Ability to learn and adapt to the new technologies in very less period. - Self-motivated team player with good communication, presentation skills and Analytical Skills. Skills summary: - Programming Languages: Python, Basics of SQL Operating Systems: Windows Libraries and Software: Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, OpenCV, Anaconda, Jupyter Notebook, Google Colab Visualization Tools and Libraries: Sounding knowledge over Matplotlib, Seaborn and Tableau Projects:- - Bike rental count prediction - Air passenger satisfaction classification - Zomato Recommendation System - Fake and real face detection - Dog and wolf face classification - MNIST fashion dataset classification - Sentiment analysis - Question and answer Chat-bot - English to Hindi translator

Location

Bengaluru

AI stack

claude code

Work experience

Business head at Sid's Farm, Bengaluru, Karnataka, India, Sales Head

Education

Master of Technology - MTech, data science and machine learning, PES University

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, careers for BANGALORE