Shwetank Rokade Email & Phone Number | "Torture the data, and it will confess to anything" - Ronald Coase I am a Masters Information Systems Student at Northeastern University and will be graduating in December 2021. I am seeking a full-time role in the areas of Data Analyst, Business Intelligence, Data Scientist, and Data engineer fields starting from January 2022. Experience of 1.5 years as a Data Analyst, I’m a data-driven enthusiast who likes to integrate data, run SQL queries to extract data, analyzing, building Machine Learning models in Python with optimization to get the best performance metrics and generate reports in the form of Dashboards that can be used to take various business decisions. I have foundational knowledge about Linear Algebra, Statistics, and Exploratory Data Analysis and concepts of Machine Learning and Deep Learning algorithms, Data Warehousing Concepts, and Data Visualization. Experienced in scrutinizing client’s general data and refining it and handling complex internal and external data of the organization which drives the business towards greater profits. Apart from this, I’m a self-starter, a quick learner who likes to work collaboratively in a team, and has a passion to learn the latest technologies and eagerness to improve. Technical Skills: Programming Languages: Python, SQL, Java Web Technologies: HTML 5, CSS 3 Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly, NLTK, Scikit-Learn, Keras, Tensorflow Databases: MS SQL Server, MySQL, Postgre Data Reporting Tools: Tableau, Excel Big Data: Spark(Pyspark, SparkSQL), Hadoop (HDFS, MapReduce, YARN, Hive, Pig) Data Integration: Talend, ETL(SSIS) Cloud: AWS (S3, Athena, QuickSight, Glue, RDS, RedShift, Sagemaker) Web App: Streamlit Deployment: Heroku Machine Learning Algorithms: Linear and Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors, Naive Bayes, K- Means Clustering, Support Vector Machine (SVM), Gradient Boosting Decision tree(GBDT), XGBoosting, DBSCAN Natural language processing (NLP): Bag of Words, Term Frequency Inverse Document Frequency(tf-idf), Word2Vec Deep Learning: Artificial Neural Network(ANN), Convolutional Network(CNN), Recurrent Neural Network(RNN), Long Short Term Memory (LSTM) IDE: Netbeans, Jupyter Notebook, PyCharm Email: shwerokade@gmail.com Contact number: +1 719-235-1235 Looking for full-time opportunities in the field of Data Analyst, Business Intelligence, Data Scientist and Data Engineer based roles

Shwetank Rokade

"Torture the data, and it will confess to anything" - Ronald Coase I am a Masters Information Syste...
Columbus, Ohio, United States

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Shwetank Rokade’s Email shwetank.rokade@jpmorgan.com

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Shwetank Rokade’s Location Columbus, Ohio, United States

Shwetank Rokade’s Current Industry Jpmorgan Chase

Shwetank Rokade’s Prior Industry Cruz Street | Interspence Solution

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Work Experience

Jpmorgan Chase

Associate Data Scientist

2022-03-01 00:00:00 - Present

Cruz Street

Data Analyst Intern

2021-01-01 00:00:00 - 2021-06-01 00:00:00

Interspence Solution

Data Analyst

2018-07-01 00:00:00 - 2019-06-01 00:00:00

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FAQ About Shwetank Rokade

Shwetank Rokade is located at
Columbus, Ohio, United States

Shwetank Rokade is a "Torture the data, and it will confess to anything" - Ronald Coase I am a Masters Information Systems Student at Northeastern University and will be graduating in December 2021. I am seeking a full-time role in the areas of Data Analyst, Business Intelligence, Data Scientist, and Data engineer fields starting from January 2022. Experience of 1.5 years as a Data Analyst, I’m a data-driven enthusiast who likes to integrate data, run SQL queries to extract data, analyzing, building Machine Learning models in Python with optimization to get the best performance metrics and generate reports in the form of Dashboards that can be used to take various business decisions. I have foundational knowledge about Linear Algebra, Statistics, and Exploratory Data Analysis and concepts of Machine Learning and Deep Learning algorithms, Data Warehousing Concepts, and Data Visualization. Experienced in scrutinizing client’s general data and refining it and handling complex internal and external data of the organization which drives the business towards greater profits. Apart from this, I’m a self-starter, a quick learner who likes to work collaboratively in a team, and has a passion to learn the latest technologies and eagerness to improve. Technical Skills: Programming Languages: Python, SQL, Java Web Technologies: HTML 5, CSS 3 Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly, NLTK, Scikit-Learn, Keras, Tensorflow Databases: MS SQL Server, MySQL, Postgre Data Reporting Tools: Tableau, Excel Big Data: Spark(Pyspark, SparkSQL), Hadoop (HDFS, MapReduce, YARN, Hive, Pig) Data Integration: Talend, ETL(SSIS) Cloud: AWS (S3, Athena, QuickSight, Glue, RDS, RedShift, Sagemaker) Web App: Streamlit Deployment: Heroku Machine Learning Algorithms: Linear and Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors, Naive Bayes, K- Means Clustering, Support Vector Machine (SVM), Gradient Boosting Decision tree(GBDT), XGBoosting, DBSCAN Natural language processing (NLP): Bag of Words, Term Frequency Inverse Document Frequency(tf-idf), Word2Vec Deep Learning: Artificial Neural Network(ANN), Convolutional Network(CNN), Recurrent Neural Network(RNN), Long Short Term Memory (LSTM) IDE: Netbeans, Jupyter Notebook, PyCharm Email: shwerokade@gmail.com Contact number: +1 719-235-1235 Looking for full-time opportunities in the field of Data Analyst, Business Intelligence, Data Scientist and Data Engineer based roles