With over 5 years of expertise in machine learning, data mining, and statistical modeling, I bring deep proficiency across domains like finance, sales forecasting, marketing, machine vision, and robotics. I have a strong foundation in applying advanced machine learning techniques, including CNNs, RNNs, Transformers, and Generative AI, for extracting insights from large, structured and unstructured datasets.I specialize in building predictive models, data acquisition, validation, and visualization using Python libraries like Pandas, NumPy, TensorFlow, PyTorch, and Scikit-learn. My work includes designing advanced Python programs to harmonize data and deploying machine learning algorithms (such as Random Forests, SVMs, and HMMs) to solve complex data problems.With a track record of transforming business needs into analytical solutions, I excel at developing scalable data mining, forecasting, and reporting systems that leverage statistical and machine learning techniques, including PCA, hypothesis testing, regression models, and ensembles.
Scott Lab, Honda
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Machine Learning EngineerScott Lab, HondaUnited States
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Machine Learning EngineerDdml, Honda Nov 2024 - PresentColumbus, Ohio, United States
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Ml ResearcherArizona State University Feb 2022 - Nov 2024Tempe, Arizona, United States• Extracted parameters and features from comprehensive simulation datasets, subsequently analyzing relationships, trends, and dependencies among the various features. • Developed and trained deep learning models to accurately predict deviations, spring back, and other geometric variations in stamped components and their assemblies.• Applied machine vision techniques to extract features and patterns from a large dataset of multi-view images of Honda hood frames.• Explored transfer learning, enhancing model performance by 35% and accelerating convergence by 40%, adapting pre-trained CNNs like ResNet-50 and VGG-19 for hood frame image analysis. -
Research EngineerIfb Appliances Jul 2018 - Aug 2021Goa, India• Led a team of two to develop a demand forecasting tool on Hadoop platform using an ensemble of ARIMA, Random Forest, Gradient Boosting and Econometric models with daily accuracy of ~80%, resulting in an annual savings of $5M• Increased productivity by 20 hours a month by automating data pipeline using SQL, Python and shell-scripts• Collaborated with marketing and sales teams to develop personalized email campaigns targeting 100K+ customers, resulting in a 25% increase in customer engagement.• Utilized Tableau to create 10+ interactive dashboards for real-time campaign performance tracking, enabling a 30% faster decision-making process. -
Summer InternTata Motors May 2017 - Aug 2017Jamshedpur, Jharkhand, India• Developed a real-time anomaly detection engine to identify abnormal sensor behavior, aiming to reduce waste and enhance maintainability in manufacturing -
Summer TraineeTata Steel Jun 2016 - Jul 2016Jamshedpur, Jharkhand, India
Prakash Kumar Education Details
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4.0/4.0 -
Mechanical Engineering
Frequently Asked Questions about Prakash Kumar
What company does Prakash Kumar work for?
Prakash Kumar works for Scott Lab, Honda
What is Prakash Kumar's role at the current company?
Prakash Kumar's current role is Machine Learning Engineer.
What schools did Prakash Kumar attend?
Prakash Kumar attended Arizona State University, Birla Institute Of Technology, Mesra.
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Prakash Kumar
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Prakash Kumar
New York City Metropolitan Area4yahoo.com, deloitte.com, hotmail.com, novartis.com1 +160975XXXXX
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