• 4+ years in Data Science, specializing in developing and deploying Data and Machine Learning Pipelines.• Collaborated with data engineers, analysts, and domain experts to understand business needs and deliver actionable insights.• Skilled in utilizing various packages in R and Python, such as Scikit-learn, Pandas, SciPy, Seaborn, and Matplotlib. • Proficient with AWS (S3, EMR, Redshift, SageMaker, Lambda, Glue), Airflow and Apache Spark.• Working experience with Gen AI and Machine Learning algorithms, including Linear Regression, Logistic Regression, SVM, Decision trees, Random Forests, XGBoost, Naive Bayes, k-NN, K-Means, and Neural networks including DNN, CNN, and RNN.• Skilled in utilizing data visualization tools like Tableau, Power BI, SAS, and Looker for creating reports and dashboards.• Expert in SQL, adept at using MySQL and MS SQL Server for analyzing finance and health datasets.• Capable of data preparation for various statistical modeling, including data cleaning, descriptive analysis, data validations, data triangulation, and data reporting. • Proficient in executing all phases of the Software Development Life Cycle utilizing methodologies such as Waterfall Skills:Languages: Python, Java, C, SQL, HTML/CSS, R, C++Machine Learning: Gen AI, Linear Regression, Logistic Regression, SVM, Decision trees, Random Forests, XGBoost, Naive Bayes, k-NN, K-Means, and Neural networks including DNN, CNN, and RNN.Interests in Machine Learning, Computer Vision, Natural Language ProcessingWorked with TensorFlow, Keras, BigQuery, Scikit-learn, Pandas, NumPy, OpenCV, NLTK, Gym, Seaborn, Android Studio, Matlab, Octave, Firebase, Arduino (Arduino IDE), and Raspberry pi3 (Raspbian Stretch).Data Tools: PowerBI, Tableau, Looker, and SASClouds: AWS, GCPMore about my work, projects, and interests:Github: https://github.com/nkrgitKaggle: https://www.kaggle.com/nagakiranreddy
