Manjari Misra Email & Phone Number

🚀 Passionate Software Engineer and Data ScientistActively looking for full-time roles in Software Engineering or Data Roles starting immediately.🔗 Open to exciting opportunities, projects, and collaborations! Feel free to reach out at manjarimisra94@gmail.com for the same or to just say Hello! 👋As a skilled and adaptable Software Engineer and Data Science enthusiast with a flair for innovation. I've journeyed through the tech landscape, from crafting predictive AI models to architecting scalable web applications and I bring a wealth of experience in developing cutting-edge solutions.With a Master of Science in Computer Science from the University of Florida 🐊, I've honed my skills in machine learning, distributed computing, and software engineering. I have developed robust software solutions and leveraged data-driven insights to solve complex problems. My experience includes collaborating with cross-functional teams, delivering impactful projects, and continuously expanding my skill set through certifications and professional development. My passion for innovation, coupled with my pursuit of cloud certification, drives my continuous growth in this dynamic field. If you're seeking someone who's not just tech-savvy but innovation-hungry, let's connect. I'm eager to bring my creativity and skills to your team!💡 Skills & Interests - • Programming languages & frameworks: Python | Java | Go | R | HTML | CSS | Javascript | F# | PyTorch | TensorFlow | Keras | Scikit-learn | Pandas | Numpy | Matplotlib | Dask | Docker | oneDAL• Data Management & visualization tools: SQL | Microsoft SQL Server (MS SQL) | PostgreSQL | Oracle | Tableau• Version Controls (CI/CD): GitHub • IDEs & Platforms: JIRA | Anaconda | Visual Studio Code | Linux | Google Colab | Windows• Software Engineering Techniques:Software Development Lifecycle Methods (SDLC) | Design Patterns | System Design | Agile Development • Data Science & ML/AI Techniques:Anomaly Detection | Time Series | Recommender Systems | Regression | Classification | Decision Trees | Random Forest | Clustering | Boosting | Bagging | K-Nearest Neighbor | Dimensionality Reduction (Principal Component Analysis)| Hypothesis Testing | A/B Testing | Optimization | Deep Learning (NN, CNN, RNN - GRU, LSTM)