Harsh Vyas Email & Phone Number
Who is Harsh Vyas? Overview
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Harsh Vyas is listed as Applied AI Developer at Capria Ventures, a with 46 employees, based in Kitchener, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Harsh Vyas.
Harsh Vyas previously worked as Generative AI Developer at Capria Ventures and Data Science Intern at Iete. Harsh Vyas holds Postgraduate Degree, Information Technology Business Analysis, 3.65 Gpa from Conestoga College.
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About Harsh Vyas
Astute and professional engineer holding a B.E. in Computer Science and Engineering and learned Data Analytics skills at Conestoga College, complemented by robust analytical skills and a proven track record of executing research and analysis projects. Proficient in applying data science and analytical techniques, as well as utilizing design of experiments, statistical analysis, data visualization, and programming tools to develop innovative models, enhance efficiencies, and derive data-driven insights.Technical Skills:💎 Programming: Linux command line, Python, Java, SQL💎 Database Management: MySQL, Microsoft SQL Server Studio💎 Data Science Libraries: NumPy, Pandas, Scikit-Learn, SciPy, TF/Keras, NLTK, PyCaret💎 Machine Learning Algorithms: Logistic Regression, Decision Tree, Support-Vector Machine, kNN, PCA, K-means and Hierarchical Clustering, CNN, VAE, RNN, LSTM, Transformers💎 Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, ggplot💎 Statistics: Hypothesis Testing, Statistical Modeling💎 Others: Advanced Microsoft Excel, Azure Machine Learning, TensorFlow ExtendedFeel free to explore my work and reach out:📧 Mail: hnv.careers@gmail.com🔗 GitHub: https://github.com/HarshNVyas📊 Kaggle: https://www.kaggle.com/haarveysLooking forward to connecting and discussing potential collaborations!
Harsh Vyas's current company
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Harsh Vyas work experience
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Generative Ai Developer
Current
Data Science Intern
📊 Data Science Intern | IETEI'm thrilled to share my enriching experience as a Data Science Intern at IETE, where I delved into the realms of data preprocessing and modeling using supervised learning algorithms. 🚀Data Preprocessing:🎯 Objective: Executed data preprocessing using Python 3 within Google Colab, leveraging libraries like NumPy, Pandas, Sklearn, matplotlib, and seaborn.🔍 Key Steps:Loaded data from diverse sources (CSV, Excel, databases, web APIs) using Pandas.Conducted Exploratory Data Analysis (EDA) for initial dataset understanding through summary statistics and visualizations.Implemented robust techniques to handle missing data and fill in values effectively.Engaged in feature engineering to create new features, transform existing ones, and encode categorical variables.Applied data scaling to standardize or normalize numerical features.Executed data splitting into training and testing sets for meticulous model performance evaluation.Supervised and Unsupervised Modeling and Evaluation:🎯 Objective: Contributed to the creation of a comprehensive Jupyter notebook covering supervised and unsupervised machine learning problems.🔍 Key Sections:Introduction:Set the stage for understanding the complexities of supervised and unsupervised machine learning.Supervised Learning:Implemented classification using various algorithms (Logistic Regression, Decision Tree, Random Forest, SVM, K-Nearest Neighbours, Naive Bayes).Executed regression with algorithms like Linear Regression, Support Vector Regressor, and Random Forest Regressor.Explored hyperparameter tuning through manual testing, RandimizedSearchCV, and GridSearchCV.Demonstrated the art of saving models using Pickle.Excited about the knowledge gained and looking forward to applying these skills in future data-driven endeavors. 🌐💻 #DataScience #InternshipExperience #MachineLearning #IETEInternship
Machine Learning Intern
🤖 Artificial Intelligence Intern | Bennett University | Summer Internship 2020Thrilled to have been part of Bennett University's cutting-edge AI initiative, leadingindia.ai, as an Artificial Intelligence Intern during the enriching Summer Internship of 2020.🚀 Project: 'Locomotive Activities in Robots' - Deep Reinforcement Learning:Collaborated with a dynamic team of three to focus on Reinforcement Learning, a subset of Artificial Intelligence.Developed and trained a simulated robot to autonomously learn locomotion gaits utilizing advanced Reinforcement Learning algorithms.🔍 Key Responsibilities and Achievements:Spearheaded the creation of innovative models aimed at enhancing locomotion activities in robots through the application of Deep Reinforcement Learning techniques.Worked extensively on the implementation and analysis of Reinforcement Learning algorithms, with a particular emphasis on TD3 (Twin Delayed DDPG) and SAC (Soft Actor-Critic) models.Conducted thorough assessments to analyze the accuracy and effectiveness of TD3 and SAC models in the context of locomotion tasks.🛠️ Technological Proficiency:Leveraged Python and deep learning frameworks, contributing to the successful training and implementation of advanced Reinforcement Learning models.📈 Outcome:Successfully trained simulated robots, demonstrating their ability to autonomously acquire locomotion gaits through the application of Reinforcement Learning.👉 GitHub Repository:Explore the comprehensive details of the project on my GitHub: https://github.com/HarshNVyas/Deep-Reinforcement-Learning-to-train-locomotation-activity-in-Robots.git🌐 Excited for Future Opportunities:Grateful for the invaluable experience gained at Bennett University and enthusiastic about applying these skills to future AI endeavors. Looking forward to continued growth in the dynamic field of Artificial Intelligence! #AIInternship #DeepLearning #ReinforcementLearning #BennettUniversity
Colleagues at Capria Ventures
Other employees you can reach at capria.vc. View company contacts for 46 employees →
Marcelo Roca
Colleague at Capria VenturesUruguay
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Yeluri Neeharika
Colleague at Capria VenturesSan Jose, California, United States
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Francis Perelman
Colleague at Capria VenturesBuenos Aires, Buenos Aires Province, Argentina
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Nikhil Mishra
Colleague at Capria VenturesBangalore Urban, Karnataka, India
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Daniel Ballesteros Nader
Colleague at Capria VenturesMexico City Metropolitan Area, Mexico
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Mishelle De León
Colleague at Capria VenturesMexico City, Mexico
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Upasana Sarkar
Colleague at Capria VenturesBengaluru, Karnataka, India
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Bryan Njuguna
Colleague at Capria VenturesKenya
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Raveena Joseph
Colleague at Capria VenturesBengaluru, Karnataka, India
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Jennifer Rupcic
Colleague at Capria VenturesPewaukee, Wisconsin, United States
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Harsh Vyas education
Postgraduate Degree, Information Technology Business Analysis, 3.65 Gpa
Bachelor'S Of Engineering, Computer Science And Engineering, 9.07 Cgpa
Frequently asked questions about Harsh Vyas
Quick answers generated from the profile data available on this page.
What company does Harsh Vyas work for?
Harsh Vyas works for Capria Ventures.
What is Harsh Vyas's role at Capria Ventures?
Harsh Vyas is listed as Applied AI Developer at Capria Ventures.
Where is Harsh Vyas based?
Harsh Vyas is based in Kitchener, Ontario, Canada while working with Capria Ventures.
What companies has Harsh Vyas worked for?
Harsh Vyas has worked for Capria Ventures, Iete, and Bennett University.
Who are Harsh Vyas's colleagues at Capria Ventures?
Harsh Vyas's colleagues at Capria Ventures include Marcelo Roca, Yeluri Neeharika, Francis Perelman, Nikhil Mishra, and Daniel Ballesteros Nader.
How can I contact Harsh Vyas?
You can use AeroLeads to view verified contact signals for Harsh Vyas at Capria Ventures, including work email, phone, and LinkedIn data when available.
What schools did Harsh Vyas attend?
Harsh Vyas holds Postgraduate Degree, Information Technology Business Analysis, 3.65 Gpa from Conestoga College.
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