About

Snehal Gadre is a highly motivated and skilled Software Engineer with a strong background in data science. With a Bachelor's degree in Computer Science and Engineering, Snehal has developed a deep understanding of data science and is eager to apply her technical skills to benefit her organization. She is currently employed at Monocept, where she works on AI/ML/Data science projects. Snehal is well-versed in data exploration, data mining, data modeling, data cleansing, and exploratory data analysis. She is also proficient in statistics, including both descriptive and inferential statistics. Her expertise in programming languages such as Python and R has enabled her to develop and implement machine learning algorithms, including supervised, unsupervised, and semi-supervised algorithms. She is experienced in working with various supervised algorithms, such as linear regression, logistic regression, decision trees, random forest, support vector machines, k-nearest neighbors, and Naive Bayes. She is also skilled in unsupervised algorithms such as K-means Clustering, PCA, and DBSCAN. Snehal has extensive knowledge of data science libraries such as Pandas, Numpy, Matplotlib, Seaborn, NLTK, Scipy, and Tensorflow. She is proficient in the Windows operating system. Prior to her current position, Snehal worked as an intern at Cojag. She has also completed a post-graduation program in Data Science from Imarticus Learning Data Science Institute, Pune. She holds a Bachelor of Engineering degree in Computer Science from Tulsiramji Gaikwad Patil College of Engineering and Technology, Nagpur. She completed her HSC from Nabira College, Katol, and her SSC from Benarasidas Ruiya High School, Katol. Snehal's tech stack includes Software Engineering, Data Science, ML, AI, Naive Bayes, SVM, Random Forest, Seaborn, Data Engineering, Python, Tensorflow, and Pandas. She has relevant experience of 2.11 years. Snehal is a self-starter who is passionate about using her technical skills to make a positive impact in the field of data science.