Innovative and results-driven Data Scientist with 6+ years of experience in machine learning, big data analytics, and AI-driven solutions. Passionate about leveraging data to drive business insights and optimize decision-making processes. Adept at developing predictive models, data pipelines, and scalable machine-learning applications. Strong expertise in deep learning, NLP, and cloud computing.
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Google — Senior Data Scientist 2021 - PRESENT
- Developed AI-driven recommendation systems that improved user engagement by 25%.
- Built and deployed scalable ML models for Google Search, optimizing search ranking algorithms.
- Led a team of data scientists in building predictive analytics tools for Google Ads, increasing ad revenue by 15%.
- Designed and implemented an automated A/B testing framework, reducing experimentation time by 40%.
- Collaborated with cross-functional teams to integrate AI/ML models into Google Cloud Platform services.
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Amazon — Data Scientist 2018 - 2021
- Developed customer segmentation models using clustering techniques, enhancing targeted marketing efforts.
- Implemented NLP-based sentiment analysis for customer reviews, improving product recommendations.
- Designed predictive models for demand forecasting, reducing inventory costs by 18%.
- Optimized recommendation engines, increasing conversion rates by 12%.
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IBM — Data Scientist 2016 - 2018
- Built data visualization dashboards that provided real-time business insights for stakeholders.
- Conducted statistical analysis to detect fraud patterns, saving the company $5M annually.
- Automated data preprocessing workflows, reducing manual data cleaning efforts by 50%
Stanford University, California — Master of Science in Data Science_
2014 - 2016
University of California, Berkeley — Bachelor of Science in Computer Science
2010 - 2014
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AI-Powered Resume Screening System
- Implemented NLP models to analyze resumes, reducing manual screening time by 60%.
- Gained hands-on experience with Named Entity Recognition (NER) and BERT-based classification.
- Optimized model performance using feature engineering and hyperparameter tuning.
- 👉🏻Check out my project here.
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Predictive Maintenance for Cloud Servers
- Built a deep learning model to detect potential server failures, improving uptime by 35%.
- Learned to handle time-series data using LSTMs and anomaly detection techniques.
- Integrated the model with cloud monitoring tools for real-time alerts.
- 👉🏻Check out my project here.
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AI-Based Customer Churn Prediction
- Developed a predictive model using Random Forest and XGBoost, reducing customer churn by 20%.
- Improved model explainability using SHAP values and feature importance analysis.
- Worked with imbalanced datasets and applied SMOTE for better predictions.
- 👉🏻Check out my project here.
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Speech-to-Text Transcription Tool
- Designed a real-time NLP-based transcription system with 92% accuracy.
- Explored sequence-to-sequence models and implemented Whisper by OpenAI.
- Optimized the model to work efficiently on edge devices with TensorFlow Lite.
- 👉🏻Check out my project here.
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Smart Traffic Management System
- Created an AI-driven traffic control system using computer vision, reducing congestion by 25%.
- Used YOLOv5 for vehicle detection and Reinforcement Learning for traffic light optimization.
- Deployed the model on edge devices for real-time inference.
- 👉🏻Check out my project here
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Healthcare AI for Disease Prediction
- Developed an ML model for early-stage disease detection, achieving 90% precision.
- Gained experience in medical image processing and transfer learning with CNNs.
- Ensured model fairness by addressing bias in the dataset using data augmentation techniques.
- 👉🏻Check out my project here.
- Google Professional Data Engineer Certification – Google Cloud (2021)
- TensorFlow Developer Certificate – Google AI (2020)
- AWS Certified Machine Learning – Specialty – Amazon Web Services (2019)
- IBM Data Science Professional Certificate – IBM (2018)
- Programming: Python, R, SQL, Java, Scala
- Machine Learning: TensorFlow, PyTorch, Scikit-Learn, XGBoost
- Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Big Data: Apache Spark, Hadoop, Google BigQuery
- Cloud Computing: Google Cloud, AWS, Azure
- NLP & Computer Vision: Transformers, OpenCV, BERT, GPT models
- Statistical Analysis: A/B Testing, Bayesian Methods, Time Series Forecasting
- 📊 Competitive Coding & Hackathons – I love diving into coding challenges on platforms like Kaggle and LeetCode, and I’m always up for participating in global hackathons.
- 📝 Tech Blogging – I enjoy writing about the latest trends in AI, innovations in data science, and sharing insights from the open-source world.
- 📸 Photography & Travel Blogging – I have a passion for capturing breathtaking landscapes and cityscapes through my camera lens and sharing my travel experiences online.
- 💻 Learning New Programming Languages – I’m constantly exploring languages like Rust, Julia, and Go, with a focus on high-performance computing.
- 🎮 Gaming & AI in Games – I’m fascinated by the role of AI in game development, especially how reinforcement learning is applied to make gaming experiences more immersive.
- 🏋️ Fitness & Mindfulness – Staying active with yoga and workouts is essential for me, and I always strive to maintain a balanced and healthy lifestyle.
- "Trends in Real-Time Artificial Intelligence Methods in Sports: A Systematic Review." Journal of Big Data, Springer. Available at: (https://journalofbigdata.springeropen.com/articles/10.1186/s40537-024-01026-0)
- "AI-Driven Smart Transformation in Physical Education: Current Trends and Future Research Directions." MDPI Electronics, MDPI. Available at: (https://www.mdpi.com/2076-3417/14/22/10616)
- "DeepSeek's 'Aha Moment' Creates New Way to Build Powerful AI with Less Money." Financial Times, Financial Times Ltd. Available at: (https://www.ft.com/content/ea803121-196f-4c61-ab70-93b38043836e)
- "An 'AI Scientist' Is Inventing and Running Its Own Experiments." Wired, Conde Nast. Available at: (https://www.wired.com/story/ai-scientist-ubc-lab)
- "A Revolution in How Robots Learn." The New Yorker, Condé Nast. Available at: (https://www.newyorker.com/magazine/2024/12/02/a-revolution-in-how-robots-learn)