Neha

Bengaluru, Bangalore Division, Karnataka, India
Neha
Experience: 2 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: AWS, CPP, Docker, Kubernetes, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Postman, Power BI, Problem Solving, PySpark, Python, Python3, PyTorch, R, scikit-learn, Tableau, TensorFlow
Previously worked at: Product Companies
Assessment Score: 60
  • Advanced Academic Background in Mathematics and Computational Sciences
    Holds an M.Tech in Industrial Mathematics and Scientific Computing from IIT Madras (CGPA: 8.67) and an M.Sc in Mathematics from BHU, demonstrating a strong foundation in mathematics, algorithms, and computational problem-solving. Achieved high ranks in national-level competitive exams like GATE and IIT-JAM, showcasing academic excellence.
  • Professional Expertise in AI and Data Science
    Currently employed as a Data Scientist at AVO Automation, with hands-on experience in developing AI-driven pipelines and tools, including RASA chatbots and Retrieval-Augmented Generation (RAG) techniques. Demonstrates proficiency in LLMs, graph theory, and prompt engineering for optimizing test cases and automating workflows.
  • Proficiency in Machine Learning and Deep Learning Techniques
    Skilled in applying machine learning algorithms for regression, classification, clustering, and dimensionality reduction. Experienced in advanced deep learning architectures like CNNs, RNNs, LSTMs, and GANs, leveraging frameworks like TensorFlow, PyTorch, and Scikit-learn for developing predictive and generative models.
  • Diverse Project Portfolio in Data Analytics and Anomaly Detection
    Successfully executed projects such as K-means clustering for stock market insights, log anomaly detection in large-scale systems, and regression models for financial data analysis. These projects highlight a strong ability to solve real-world problems with data-driven solutions.
  • Strong Technical Skillset with Modern Tools and Frameworks
    Proficient in programming languages like Python, R, and C++, and tools such as MySQL, PostgreSQL, MongoDB, Neo4j, and Tableau. Expertise in AI technologies including LLM fine-tuning, LangChain, vector databases like Milvus, and Azure DevOps for seamless integration and deployment of AI solutions.
  • Awards, Certifications, and Scholastic Achievements
    Recognized for academic and professional excellence, including securing ranks in GATE and IIT-JAM. Certified in SQL, relational databases, and machine learning. Demonstrated consistent performance in competitive environments and coursework related to data science and AI development.

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