Squash Analytics Solution
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Summary
Designed and implemented a comprehensive analytics solution for processing squash performance data, providing actionable insights for players and coaches.
Highly skilled Machine Learning Engineer with 1 year of hands-on experience in developing scalable ML systems, enhancing NLP capabilities, and deploying predictive models for real-time decision-making. Proven expertise in designing end-to-end data pipelines, creating interactive Power BI dashboards, and integrating robust AI solutions, significantly improving response accuracy by 35%. Passionate about solving complex business problems through data-driven approaches, API development, and backend optimization to drive measurable impact and continuous innovation.
ML Engineer
Bhopal, Madhya Pradesh, India
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Summary
As an ML Engineer at Pro Solutions, developed and deployed scalable machine learning solutions and robust backend components, contributing to data-driven insights and optimized operational workflows for diverse client projects.
Highlights
Engineered and deployed end-to-end machine learning pipelines for real-time data processing and predictive analytics, significantly enhancing strategic decision-making and improving client project outcomes.
Developed robust backend components and APIs for scalable platforms, improving system performance and data management efficiency by optimizing code structure.
Designed and implemented interactive Power BI dashboards, providing critical, real-time insights for performance monitoring and strategic adjustments across diverse projects.
Automated complex data workflows, streamlining operational processes and boosting overall system efficiency and reliability across various client engagements.
Contributed to enhancing NLP capabilities and integrating robust AI solutions, demonstrating expertise in building resilient and high-performing systems.
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PGP
Data Science and Engineering
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Master
Computer Applications
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Bachelor
Computer Science
Issued By
Coursera
Python, R, SQL, NumPy, Pandas, Scikit-learn, SciPy, Natural Language Processing (NLP), Regression, Classification, Clustering, Feature Engineering.
TensorFlow, PyTorch, Pre-trained Models, Chatbot Development, NLP Pipelines.
Power BI, Tableau, Matplotlib, Seaborn.
MySQL, PostgreSQL, Excel (Advanced), Alteryx.
GCP, Git, GitHub, Workflow Automation.
API Development, Backend Optimization, Database Design, Scalable Backend Components.
Data-driven Approaches, Problem Solving, Statistical Testing.
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Summary
Designed and implemented a comprehensive analytics solution for processing squash performance data, providing actionable insights for players and coaches.
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Summary
Developed scalable backend components and APIs for a sophisticated AI-powered travel planning platform, focusing on performance and data integrity.
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Summary
Developed an advanced 3D AI Chatbot, focusing on enhancing NLP capabilities, improving response accuracy, and building robust user engagement features.