About
Highly motivated and results-driven Data Scientist and AI/ML Engineer with a strong foundation in Data Science, Artificial Intelligence, Deep Learning, and Machine Learning. Proven ability to transform complex datasets into actionable insights and build innovative AI solutions. Eager to leverage expertise in predictive modeling, data analysis, and advanced algorithms to solve real-world challenges and drive impactful outcomes in a forward-thinking organization.
Work
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Summary
Simulated a data analytics role, applying forensic technology and business intelligence principles to derive actionable insights.
Highlights
Successfully completed a Deloitte job simulation, applying data analysis and forensic technology principles to real-world scenarios.
Developed a comprehensive data dashboard using Tableau to visualize key insights.
Utilized Excel for data classification and to derive actionable business conclusions.
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Summary
Simulated a data visualization role, focusing on empowering business decisions through effective insights and client engagement.
Highlights
Successfully completed a job simulation focused on developing impactful data visualizations for Tata Consultancy Services.
Formulated strategic questions for client senior leadership meetings to guide data-driven discussions.
Designed and implemented compelling data visuals, enabling executives to make informed and effective decisions.
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Summary
Simulated a data analyst role, providing strategic recommendations to a social media client through data analysis and visualization.
Highlights
Successfully completed an Accenture job simulation, providing data-driven recommendations to a hypothetical social media client.
Cleaned, modeled, and analyzed 7 distinct datasets to extract key insights on content trends, informing strategic decision-making.
Developed a comprehensive PowerPoint presentation and video to effectively communicate key insights to clients and internal stakeholders.
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Summary
Completed a comprehensive AI internship, gaining hands-on experience with Azure AI services, deep learning models, and real-world AI applications.
Highlights
Achieved 100% completion of Microsoft Azure AI learning paths, specializing in Computer Vision, Natural Language Processing, and Generative AI.
Engineered an end-to-end Plant Disease Detection System utilizing CNNs, Streamlit, and a dataset of over 87,000 images, demonstrating practical AI application.
Applied Azure AI services and deep learning models to develop and deploy real-world AI applications.
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Summary
Participated in a competitive analytics hackathon, applying machine learning and data science techniques to solve real-world problems.
Highlights
Achieved a top 227 ranking out of hundreds of participants in Kaggle's Summer Analytics Hackathon.
Engineered a robust Machine Learning pipeline for NDVI Land Cover Classification, leveraging real-world satellite data.
Utilized advanced machine learning algorithms including Logistic Regression, Random Forest, and XGBoost, enhanced by feature engineering and hyperparameter tuning.
Education
Certificates
Skills
Programming Languages
Python, SQL, C, C++, Java, R.
Machine Learning & Data Science
TensorFlow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, Excel, Keras, Pickle.
Natural Language Processing (NLP) & AI
nltk, LangChain, AI Agent Development, RAG Applications.
Web Development & Tools
Streamlit, Gradio, GitHub.
Data Visualization
Matplotlib, Seaborn, Pyplot, Power BI, Excel.
Deep Learning
Neural Networks (CNN, RNN, LSTM, Transformers), Image Processing, Computer Vision.
Business Intelligence
Data-driven decision-making, BI, Insight Generation.