Siddhant Thakur Resume
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Siddhant Thakur is a data scientist with over 1 year of experience in machine learning, statistics, and programming projects focused on sports analytics and prediction modeling. His skills include Python, C/C++, SQL, Java, R, and machine learning algorithms. He has worked on projects predicting NFL game winners using random forest classification and clustering medical patients based on lab reports. Currently he is building models to predict the NCAA March Madness bracket as an ongoing Kaggle competition.
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Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning algorithms. He has a Master's in Information Management from the University of Washington and a Bachelor's in IT from Shri G.S. Institute of Technology and Science in India. His past work includes developing predictive models for stock movements and natural language processing applications for data cleaning and classification. He is proficient in tools like Tableau, SQL Server, and Jupyter notebooks.
Resume
Aniruddh Nathani is pursuing a Master of Science in Information Management at the University of Washington, specializing in data science and business intelligence. He has experience in programming languages like Python, SQL, Java, and R, as well as software including Tableau, Android Studio, and Microsoft Excel. His past work includes using Python scripts for data cleaning and correction, and developing machine learning and mobile applications. He is currently taking courses in data science, machine learning, and business intelligence to further his skills. Previously, he earned a Bachelor of Engineering in Information Technology from Shri G.S. Institute of Technology and Science in India.
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Slide presentasi ini dibawakan oleh Imron Zuhri dalam acara Seminar & Workshop Pengenalan & Potensi Big Data & Machine Learning yang diselenggarakan oleh KUDO pada tanggal 14 Mei 2016.
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For that, an attached IPython Notebook ( http://bit.ly/python4datascience_nb ) exemplifies the full process of a corporate network analysis, using Pandas, Matplotlib, Scikit-learn, Numpy and Scipy.
Resume
Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning. He has a Master's in Information Management from the University of Washington and a Bachelor's in IT from Shri G.S. Institute of Technology and Science in India. His work experience includes projects using ensemble methods like random forests and AdaBoost to predict stock movements. He has also developed applications including an intelligent question bank, gender prediction, and movie reviews classifiers using techniques like Naive Bayes. Additionally, he has experience teaching mathematics and English.
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Koushik Modayur Chandramouleeswaran has extensive experience developing software using various programming languages and technologies. He is pursuing a Master of Science in Computer Science from The University of Texas at Arlington with a GPA of 3.62/4.0 and holds a Bachelor of Technology in IT from Bharath University in India with a GPA of 8.44/10. He has worked as an Associate and Programmer Analyst at Cognizant Technology Solutions, developing tools and reports to help clients save over $120k. Koushik has strong skills in Python, Java, R, databases, big data technologies and machine learning. He has completed several projects applying techniques like decision
Data Science, what even?!
Presented an abridged version of my "What is data science" talk at #websummit 2013.
This talk goes over the required skillset as defined by Drew Conway and his famous venn diagram, and also outlines the Data Scientific Method brought by Dr. Patil. The talk is mainly two parts and the second part goes over some of the packages and technologies we use — minus the storage part.
Introduction To Data Science With Python
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Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning algorithms. He has a Master's in Information Management from the University of Washington and a Bachelor's in IT from Shri G.S. Institute of Technology and Science in India. His past work includes developing predictive models for stock movements and natural language processing applications for data cleaning and classification. He is proficient in tools like Tableau, SQL Server, and Jupyter notebooks.
Resume
Aniruddh Nathani is pursuing a Master of Science in Information Management at the University of Washington, specializing in data science and business intelligence. He has experience in programming languages like Python, SQL, Java, and R, as well as software including Tableau, Android Studio, and Microsoft Excel. His past work includes using Python scripts for data cleaning and correction, and developing machine learning and mobile applications. He is currently taking courses in data science, machine learning, and business intelligence to further his skills. Previously, he earned a Bachelor of Engineering in Information Technology from Shri G.S. Institute of Technology and Science in India.
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For that, an attached IPython Notebook ( http://bit.ly/python4datascience_nb ) exemplifies the full process of a corporate network analysis, using Pandas, Matplotlib, Scikit-learn, Numpy and Scipy.
Resume
Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning. He has a Master's in Information Management from the University of Washington and a Bachelor's in IT from Shri G.S. Institute of Technology and Science in India. His work experience includes projects using ensemble methods like random forests and AdaBoost to predict stock movements. He has also developed applications including an intelligent question bank, gender prediction, and movie reviews classifiers using techniques like Naive Bayes. Additionally, he has experience teaching mathematics and English.
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Data Science training in Delhi by ShapeMySkills Pvt.Ltd has proven to be the best by its many enrolled candidates. We provide you the best faculty with industry experience and learning access 24/7, study material, mock tests, and most importantly industry based projects.
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Resume
Faizanur Rahman is a student at the Indian Institute of Information Technology, Design and Manufacturing, Jabalpur who is interested in data analytics and science. He has experience with tools for dealing with data like Python, Machine Learning, SQL, and IBM DB2. Some of his projects include a dorsal hand-based biometric authentication system and an image enhancement technique using contrast entropy. He has certifications in topics like data science methodology, databases and SQL for data science, and data analysis and visualization with Python.
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or Contact us : 9873922226
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Materiały przykładowe z komentarzami w języku polskim: https://gist.github.com/kmrowca/public
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Siddhant Thakur Resume
- 1. Siddhant Thakur +91-8368103652 | siddhantthakur08@gmail.com Summary AspiringDataScientistwith1+years of experience inprojectworkandexpertise inMachine Learning,Statisticsand Programming. InterestedinSportsAnalyticsandPredictionModelling.Currentlyexploringthe areaof Natural Language Processing. Skills: Programming: Python (2+ year, scikit-learn, matplotlib, pandas, NumPy), C (2+ years), C++ (2+ years), SQL (1+ years), Java (1+ year), R (<1 year, ggplot2), Flask (<1 year), Flutter (<1 year), Dart (<1 year) Modeling: MachineLearning (Regression, Classification and Clustering: Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means Clustering, Neural Networks, etc.), Hypothesis Testing, A/B Testing, Natural LanguageProcessing, Feature Selection (Forward Elimination, Backward Elimination, Pearson Correlation, Linear Discriminant Analysis), Data Visualization Software and System: Android Studio, MacOS, Microsoft Office, RStudio, VS Code, Jupyter Notebook, Tableau Communicationand Presentation: Empathic listener, strong interpersonal and communications skills. Also enjoys working as a team member as well as independently. Languages: English, Hindi, German (Basic) Education SRM University, Chennai 06/2018-current Bachelorof EngineeringinComputerScience- BigDataAnalytics|CGPA - 9.37 Apeejay School, Noida 04/2016-04/2018 Class12th in Physics,ChemistryandMath withComputerScience |Percentage –90.8% Experience Gen-Y 08/2019- current Data Science and ML team member Mentored students in a workshop, conducted by the team, over Linear Regression in Python. Expanded on Gradient Descent and Ordinary Least Squared in a related blog on Medium along with explaining the basic concepts and the math behind it. Facilitated the team with the development of Exam Correction Automation project and wrote scripts for data generation. Selected to attend and work with many GDEs at the GoogleExploreML Mentorship Bootcamp held on 19th & 20th February in Google, Hyderabad. Relevant Projects National Football League (NFL) Game PredictionModel Built a model predicting the weekly game winners of the NFL using Random Forest Classifier in Python. Utilized statistics like Rushing yards per game, passing yards per game, sacks per game, etc. after applying Feature Selection. Wrote ETL job to collect stats for the home and away teams for last 10 years using the python nflgame API. Predicted with an accuracy of 63.00% for the 2019 NFL regular season. Published weekly blogs on Medium summing up the winners and losers of that week. SIH Internal Hackathon (Software) – SRM Institute of Science and Technology,Kattankulathur Competed against 40+ teams and got selected amongst the Top 5 teams to represent in SIH. Worked on medical data from different lab reports and created clustering models segmenting the patients in different categories based on their parameters from those lab reports. Deployed the above-mentioned clustering models as an API using Flask framework. NCAA March Madness2020 – OngoingProject Building prediction models for an ongoing KaggleCompetition focused on predicting the College BasketballBracket.