Data Science Projects in Pimpri-Chinchwad
Data Science Projects in Pimpri-Chinchwad
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Umar Shaikh
Proud to share that I’ve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) — issued by Oracle. This certification validates my expertise in Machine Learning (ML) | Data Science | Artificial Intelligence (AI) | Cloud Computing, showcasing my ability to design, build, deploy, and manage end-to-end ML solutions using OCI Data Science and Oracle AI Services. 💡 Core Expertise: 🔹 Scalable ML pipelines on OCI Data Science 🔹 AI, MLOps, and Cloud best practices for model optimization 🔹 Leveraging OCI Data Flow, Data Catalog, and AI Services for automation 🔹 Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows 💪 Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.
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Kaustubh Bhiwsankar
Geospatial Analysis and Feature Extraction 📊🌏
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Aavej Patel
House Price Prediction
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Darshan Badgujar
D3V09/Forecasting-System
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Sarbjot Singh
I’m excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline. The Tech Stack: Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis. PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis. Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance. Project Highlights: ✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
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Mansi Gaikwad
Project Title: Sentix AI: Global Sentiment Intelligence Results & Impact: 1. Achieved a 92% F1-score by implementing domain-specific fine-tuning on diverse consumer datasets, ensuring high reliability in classification. 2. Engineered an Aspect-Based Sentiment Analysis (ABSA) module that decomposed reviews into granular attributes (performance, pricing, reliability), making trend tracking 15% more precise. 3. Optimized inference performance by 25% through model distillation and Docker-based containerization, enabling the system to handle thousands of concurrent requests. 4. Mitigated data bias by designing a robust pre-processing workflow including lemmatization and custom noise reduction, critical for handling global marketplace jargon.
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Ajay Kurchami
Real-Time Anomaly Detection Engine for Fraud Prevention
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Kaustubh Bhiwsankar
Dynamic Media Scraping Solution 🎭
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Aavej Patel
PDF Document Question Answering LLM System
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Ajay Kurchami
AI-Powered Churn Prediction Engine for Telecom
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Kaustubh Bhiwsankar
End-to-End Data Analytics 📊💻🔍
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Aavej Patel
Movie Recommendations System
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Umar Shaikh
Fraud_Transaction_Detection-Fraud_Finder_ID12254…
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Ajay Kurchami
Autonomous Market Researcher (Multi-Agent AI System)
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Umar Shaikh
International Debt Statistics - PPG Bilateral Debt
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Ajay Kurchami
Enterprise BI & Revenue Prediction Platform Development
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