Passionate and driven Data Scientist with a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP), complemented by a robust background in computer engineering and data analysis. I possess hands-on experience in leveraging cutting-edge tools and technologies such as Python, TensorFlow, PyTorch, Scikit-learn, and AWS to solve complex business problems and build data-driven solutions. Throughout my career, I’ve had the opportunity to work with a diverse range of tools, frameworks, and techniques, including data visualization, NLP-based models, machine learning, and time series forecasting. I thrive on transforming raw data into actionable insights and creating scalable models that drive efficiency and business value. My expertise spans from data wrangling and analysis to advanced machine learning deployment, with a focus on maximizing model performance and reliability.Key Highlights:• Data Science & ML Expertise: Experienced in applying machine learning algorithms, deep learning models, and NLP techniques for real-world applications, including emotion classification, sarcasm detection, and intent classification using RASA.• Cloud & Deployment: Proficient in deploying models and applications on AWS with hands-on experience in Docker, Git, and containerization for seamless deployment and scalability.• Analytics & Visualization: Skilled in creating interactive dashboards and visualizations using Flask, Plotly, and Tableau to provide meaningful insights for data-driven decision-making.With a relentless commitment to continuous learning and growth, I’m always excited to explore new technologies and methodologies that enable businesses to leverage the power of data. Let’s connect and collaborate to drive innovative solutions!
Self-Employed
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Independent Data Science PractitionerSelf-EmployedMumbai, Mh, In
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Project InternIneuron.Ai May 2024 - Dec 2024Bengaluru, Karnataka, India -
Associate Data ScientistAltimetrik Jun 2022 - Jan 2023Bengaluru, Karnataka, India• Enhanced NLP-based product functionality by creating an intent classifier as a key feature using RASA• Leveraged Transformer models for emotion classification, sarcasm detection, and urgency detection, employing AWS EC2 services with GPU support for training. Achieved F1 scores exceeding 90%, implemented containerization and training using Docker for enhanced efficiency. Utilized S3 bucket for streamlined data storage • Introduced a trend analysis model for an NLP-based product, sourcing data from twitter for trend analysis. Employed LDA for topic modeling and applied time series modeling for accurate forecastingTrainings:Participated in training sessions on:• Tableau: Gained proficiency in data visualization and dashboard creation.• Ownership and Accountability: Enhanced understanding and practice of ownership and accountability principles in the workplace. -
Project InternAltimetrik Jan 2022 - Jun 2022Bengaluru, Karnataka, India• Explored the operations market segments, uncovering diverse challenges and skillfully translated them into data science problem statements• Constructed and presented interactive dashboards utilizing Flask and Plotly for comprehensive data visualization and analysis• Led a Proof of Concept (POC) initiative focused on intent classification for an NLP-based product -
Data ScientistRailofy Aug 2021 - Nov 2021Mumbai, Maharashtra, India• Contributed to project involving Elasticsearch and MySQL database, demonstrating proficiency in data management and retrieval• Designed and implemented a model performance dashboard using Kibana, enhancing real-time monitoring and analysis capabilities• Accountable for monitoring model data drift and target drift, ensuring the ongoing accuracy and effectiveness of predictive models• Engineered a model selecting dashboard using Python, Streamlit, and Plotly, providing an intuitive and interactive platform for streamlined model evaluation and selection -
Machine Learning InternMadras Scientific Research Foundation Jul 2021 - Sep 2021Tamil Nadu, India• Responsible for learning and implementing machine learning and deep learning algorithms, analyzing data to identify patterns, and researching solutions from ML papers. Participate in training sessions and evaluate metrics to improve productivity. Prepare and submit weekly reports to the mentor.• Contributed to blog posts content covering AI/ML tools such as OpenCV, DyNet and technologies like Named Entity Recognition (NER), Providing insights into their functionalities and applications• Developed distinctive, easily comprehensible, and user-friendly content
Rahul Shelke Education Details
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7.32
Frequently Asked Questions about Rahul Shelke
What company does Rahul Shelke work for?
Rahul Shelke works for Self-Employed
What is Rahul Shelke's role at the current company?
Rahul Shelke's current role is Independent Data Science Practitioner.
What schools did Rahul Shelke attend?
Rahul Shelke attended University Of Mumbai.
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Rahul Shelke
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Rahul Shelke
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Rahul Shelke
Jr. Data Engineer @64 Squares Llc | Snowflake | Databricks | Azure | Python | Sql | Java | SparkPune -
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