🚀 Data Scientist | AI Enthusiast | Women in Data Science Ambassador I am a Data Scientist with a strong foundation in machine learning, data analytics, and cloud-based AI solutions. With a Master’s in Computer Science from USC and a Bachelor’s in Computer Engineering from Dwarkadas J. Sanghvi College of Engineering, I specialize in building scalable ML solutions, optimizing predictive models, and extracting data-driven insights to drive business impact. 💡 Experience & Expertise: I have worked at Microsoft, IIT Bombay, USC, and Capgemini, tackling challenges in customer analytics, NLP, and large-scale data processing. My experience spans across designing real-time ML pipelines, enhancing business intelligence, and improving data-driven decision-making using GCP, Vertex AI, and Kubeflow. 🔹 Key Skills: Programming: Python, Java, SQL Machine Learning: Predictive Modeling, NLP, Clustering, XGBoost, Decision Trees Data Tools: Pandas, NumPy, Matplotlib, Vertex AI, GCP, Kubeflow Database Management: SQL, NoSQL Data Visualization: Matplotlib, Power BI 🏆 Honors & Achievements: Master’s Honors Awardee at USC Published ML Research at IIT Bombay 📚 Relevant Coursework: Machine Learning & Data Mining Advanced Algorithms Cloud Computing Natural Language Processing 🔬 Notable Projects: ✅ Customer Churn Prediction – Built ML models (Logistic Regression, Random Forest) to predict and reduce customer churn. ✅ No More Social Toxicity – Developed an NLP model that transforms offensive social media comments into civil paraphrases, with performance evaluated using BLEU & ROUGE scores. ✅ Cloud-Based Recommendation Engine – Implemented real-time ML pipelines on Google Cloud, leveraging Kubeflow for scalability. I’m passionate about leveraging AI to solve real-world challenges, optimizing machine learning pipelines, and pushing the boundaries of predictive analytics and NLP. Let’s connect and explore opportunities to collaborate! 🚀