Pawankumar Bachute

About Pawankumar Bachute

A professional with experience in Python, Data Science and Machine learning with expertise in Financialand Healthcare domain projects. Able to investigate Data Visualization and summarization techniques conveying key findings. Ability to write a clean and production code with Object Oriented Programming in Python. Experience in Web Framework Flask Thorough understanding of Probability and Statistics, Bayesian methods Experience in data management tools - Relational and SQL databases. Knowledge of Python’s Data Analysis and Machine Learning Libraries. Source code management and Version Control system using Git and GitHub. Strong communication and interpersonal skills. Ability to interact with customers with ease andprofessionalism. Languages: Python. Cloud Platforms/Services: Google Cloud Platform (GCP), AWS, Azure. Web stack: Flask. Operating Systems: Linux, Windows. Database: SQL, MongoDB Good Presentation and Communication Skills Languages: Python. Cloud Platforms/Services: Google Cloud Platform (GCP), AWS, Azure. Web stack: Flask. Operating Systems: Linux, Windows. Database: SQL, MongoDB Good Presentation and Communication SkillsPython/ML Packages: NumPy, Pandas, Sci-py, Scikit-learn, Seaborn, Matplotlib, Flask. Machine learning: Linear Regression, Ridge & Lasso Regression, Logistic Regression, Naïve Bayes Classifier, kNearest Neighbor’s Classifier, Support Vector Machine, Decision Tree, Random Forest, Gradient Descent,Ada-Boost, Gradient Boosting, XGBoost, K-means Clustering. Deep Learning: Neural Networks, Deep Learning, ANN, CNN, DNN, Transfer Learning, Back Propagation,Linear Algebra, Activation & loss functions, Optimisers, Tensorflow 2.x, Keras, NLP: Text understanding, representation & classification techniques, Text clustering skillsLibraries: nltk, gensim, textblob, langdetect, googletrans,yellowbrickTechstat: BOW, TFIDF,CountVectoriser, word2vec, doc2vec, Fasttext, Keyphrase extraction Databases: 3C(Command, Constrains, Clauses), CRUD operations, Subqueries, Window functions, Joins AWS: Elastic Compute Cloud, Sagemaker, Notebook instance, AWS container, Simple Storage Services S3,Deployment, Multi cloud environment Time-Series Analysis: AR, MA, ARIMA, SARIMA models for time series data analysis. Maths & Stats: Filter, Wrapper, Embedded Method, P-Value, T-Test, Z-Test, ANNOVA test, Chi-Square Test,Info-Gain Test, Hypothesis Testingprobability, statistics, linear algebra, probability, statistics, linear algebra, Gradient Descent

Experience

1. Genai Engineer

   Ascendion

   Jun 2025 — Present

Education

• Genba Sopanrao Moze College Of Engineering

  Bachelor of Engineering - BE