PARAS KOSAMBE

Data Science

AI & ML Intern
01Internship

AI & ML Intern

Selected as an AI/ML Intern at UpToSkills, gaining practical exposure to Artificial Intelligence and Machine Learning through structured internship activities, technical discussions, and collaborative learning. Currently exploring AI/ML concepts, strengthening problem-solving abilities, participating in regular team meetings, and developing a deeper understanding of how intelligent systems are designed and applied to real-world challenges. Focused on translating theoretical knowledge into practical skills while expanding my expertise in Artificial Intelligence, Machine Learning, and emerging technologies.

AI & ML2026 - PresentMumbai, India
Machine LearningPythonAnalysis+2
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Independent Data Scientist
02Independent

Independent Data Scientist

Working on practical data science projects focused on extracting insights from data, developing predictive models, and applying machine learning techniques to real-world problems.

Data Scientist2024 – PresentMumbai, India
PythonPandasNumpy+6
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Independent AI & ML Developer
03Independent

Independent AI & ML Developer

Building practical AI and machine learning applications focused on generative AI, large language models, AI agents, natural language interaction, and intelligent automation.

AI & ML Developer2025 – PresentMumbai, India
PythonGoogle GenAIOpenAI+5
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Independent Full-Stack Developer
04Independent

Independent Full-Stack Developer

Designing and developing full-stack web applications with responsive interfaces, backend APIs, database integration, authentication, and practical user workflows.

Full-Stack Developer2024 – Present2024 – Present
ReactTypeScriptJavaScript+9
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BCG - Data Science Job Simulation
05Job Simulation

BCG - Data Science

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.

Data Scientist2026
PythonMachine Learning
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Tata - GenAI Powered Data Analytics
06Job Simulation

Tata - GenAI Powered Data Analytics

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.

Data Analyst2026
PythonMachine LearningArtificial Learning
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British Airways - Data Science Job Simulation
07Job Simulation

British Airways - Data Science

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.

Data Scientist2026
PythonMachine LearningData Visualization
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Deloitte Australia - Data Analytics Job Simulation
08Job Simulation

Deloitte Australia - Data Analytics

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

Data Analyst2026
TableauPythonPowerpoint
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BCG - GenAI Job Simulation
09Job Simulation

BCG - GenAI

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.

GenAI2026
Natural Language Processing NLPPythonAPIS
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