04/16/2025 updated
100 % available
Experienced Data Scientist with Machine Learning and NLP Expertise
Hyderabad, India
Only remote
Bachelor of technology in information technologyAlgorithmsAmazon Web ServicesData AnalysisArtificial Neural NetworksBig DataCloud ComputingDatabasesContinuous IntegrationData VisualizationFinancial AnalysisFinancial ModelingGitHubStatistical Hypothesis TestingPython (Programming Language)Machine Learning
Machine Learning and Deep Learning
Proficient in leveraging machine learning and deep learning techniques for complex business challenges. Implements various algorithms including Isolation Forest, SVM, and DBSCAN for anomaly detection.
Natural Language Processing (NLP)
Expertise in NLP and large language models (LLMs) to deliver actionable insights. Utilizes Graph Neural Networks (GNNs) and LLMs for intelligent schema understanding and query formation.
Data Science Pipeline
Comprehensive knowledge of the data science pipeline including collection, cleansing, visualization, modeling, interpretation, statistics, and hypothesis testing. Proficient in CI/CD practices for data science workflows.
Programming Languages
Proficiency in Python for data analysis, machine learning, and financial modeling. SQL skills for database querying and management.
Cloud and Big Data Technologies
Experience with AWS and big data processing. Familiarity with technologies for handling large-scale data operations.
Data Visualization and Analysis
Skilled in using tools like Pandas, NumPy, and Matplotlib for in-depth financial analysis and data visualization.
Version Control and Collaboration
Proficient with Git and GitHub for code versioning and collaborative development.
Proficient in leveraging machine learning and deep learning techniques for complex business challenges. Implements various algorithms including Isolation Forest, SVM, and DBSCAN for anomaly detection.
Natural Language Processing (NLP)
Expertise in NLP and large language models (LLMs) to deliver actionable insights. Utilizes Graph Neural Networks (GNNs) and LLMs for intelligent schema understanding and query formation.
Data Science Pipeline
Comprehensive knowledge of the data science pipeline including collection, cleansing, visualization, modeling, interpretation, statistics, and hypothesis testing. Proficient in CI/CD practices for data science workflows.
Programming Languages
Proficiency in Python for data analysis, machine learning, and financial modeling. SQL skills for database querying and management.
Cloud and Big Data Technologies
Experience with AWS and big data processing. Familiarity with technologies for handling large-scale data operations.
Data Visualization and Analysis
Skilled in using tools like Pandas, NumPy, and Matplotlib for in-depth financial analysis and data visualization.
Version Control and Collaboration
Proficient with Git and GitHub for code versioning and collaborative development.
Languages
EnglishFluent
Project history
Developed AI-driven systems for SQL query generation, implemented GNNs and LLMs for intelligent schema understanding, integrated RAG techniques for query accuracy, and optimized system performance using GPU acceleration.
Developed an anomaly detection system to identify fraudulent or unusual transactions in financial data using unsupervised learning techniques and statistical methods.
Developed a data-driven mutual fund strategy based on risk profiling and asset allocation. Analyzed historical NAV, returns, and volatility to optimize fund selection and implemented portfolio diversification techniques.