Skilled Data Scientist with a strong foundation in data analysis, machine learning and statistical modeling. Proficient in Python with a track record of solving complex business problems using data-driven insights. Exper…
Skilled Data Scientist with a strong foundation in data analysis, machine learning and statistical modeling. Proficient in Python with a track record of solving complex business problems using data-driven insights. Experienced in data preprocessing, feature engineering, and model development. Adept at deploying machine learning models for real-world applications.
1)Developed and deployed state-of-the-art machine learning algorithms for enhanced data accuracy.
2)Expertly implemented deep learning models using TensorFlow, achieving top-tier results.
3)Designed and optimized scalable machine learning solutions for large-scale datasets.
4)Established rigorous model evaluation frameworks, utilizing precision, recall, and AUC-ROC metrics.
5)Spearheaded collaborative efforts with cross-functional teams, aligning ML solutions with business goals.
6)Applied advanced feature engineering techniques for improved model interpretability and performance.
7)Implemented robust data preprocessing pipelines, addressing issues such as missing data and outliers.
8)Stayed current with the latest advancements in ML/AI, integrating new methodologies into workflows.
9)Successfully deployed machine learning models into production environments, ensuring seamless integration.
10)Optimized code for machine learning pipelines, minimizing processing time and resource utilization.
Involved in various machine learning and statistics projects and have contributed in end-to-end implementation followed by deployment for MVP and UAT.
Building and deploying machine learning models on cloud platform.
Working with interdisciplinary teams such as Devops, data science and engineering and help them in ML deployment.
Worked on various POCs and help build prototypes, some of which includes optimising deep learning models using quantisation, weight clustering and pruning.
Worked on language modelling using BERT model and on language translation using encoder decoder model.
Converted data into actionable insights by predicting and modeling future outcomes.
Preparing reports that interpret consumer behaviour, market opportunities, conditions and investment levels.
Prepare monthly manufacturing plans and progress reports as required.
Provide manufacturing decision making information by calculating production, labour and material cost.
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