PARAS KOSAMBE
Data Science
A collection of industry-recognized certifications and professional learning milestones across data science, AI, machine learning, analytics, and software development.
Completed a Data Science job simulation with BCG X focused on customer churn analysis for PowerCo. Applied exploratory data analysis, data processing, feature engineering, and machine learning techniques to investigate churn drivers and develop a Random Forest classification model. Analyzed model performance and feature importance to translate data-driven findings into business insights.
Developed an AI-powered collections strategy leveraging machine learning risk scoring, automated multi-channel engagement, and SHAP explainability. Built robust governance guardrails ensuring regulatory alignment, fair lending compliance, and optimized capital recovery.
Engineered predictive Machine Learning models (Random Forest) in Python to analyze customer booking completion across 50k sessions. Identified key behavioral drivers—such as booking origin and lead time—and presented actionable recommendations via executive slides.
Completed BCG’s GenAI Job Simulation on Forage. Developed an AI financial chatbot for BCG's GenAI Consulting team using Python (pandas). Extracted 10-K/10-Q data and applied rule-based logic to deliver user-friendly financial insights.
Deloitte Australia Data Analytics Job Simulation on Forage Completed a Deloitte job simulation involving data analysis and forensic technology Created a data dashboard using Tableau Used Excel to classify data and draw business conclusions
Earned the Oracle Cloud Infrastructure Certified AI Foundations Associate certification, demonstrating foundational knowledge of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and Oracle Cloud Infrastructure (OCI).
Completed the Agentic AI Certified Foundations Associate – 2026 certification, gaining foundational knowledge of AI agents, agentic workflows, tool use, and how AI systems can perform tasks through structured interactions.
Completed IBM’s "Natural Language Processing" course, gaining practical knowledge of key NLP concepts and techniques including text classification, sentiment analysis, entity recognition, text processing, and language understanding. Strengthened my understanding of how NLP is applied to analyze and extract insights from real-world text data.
Completed IBM’s Supervised Learning Methods course, gaining practical knowledge of supervised learning techniques including classification, regression, model evaluation, cross-validation, and performance metrics ans many more