Prachi Singh Email & Phone Number | Demonstrated history of working in the information technology and services industry. I am an avid learner and my interest lies in goofing around with data and understanding product-life cycles. I am also experienced in Visual modeling for comprehension of workflow diagrams. ❖ Languages: Python, R, MySQL, PostGreSql, SAS ❖ Tools/IDEs/Frameworks: RStudio, Git, Jupyter, Tableau, MS Office, G-suite, Anaconda, ElasticSearch, StatTool [Tableau Public: https://public.tableau.com/profile/prachi.singh8119#!/ ] ❖ Machine Learning (ML) concepts: Feature selection and dimension reduction Regression- Linear, Logistic, Ridge, Lasso Unsupervised ML- K-means, k-NN, PCA Supervised ML- Classification Trees, Random Froest, SVM Time Series- ARIMA, Exponential Smoothing, Multivariate TS Neural Networks Monte Carlo Simulations and Optimization NLP- Text classification, Sentiment Analysis One of my professional goals is to learn about the relationship between technology and business. I thoroughly enjoy the application of numbers and bridging the gap between technology and business operations by turning data into information, information into insight and insight into business decisions.

Prachi Singh

Demonstrated history of working in the information technology and services industry. I am an avid le...
Greater Boston, Greater Boston, United States

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Prachi Singh’s Email prachi.singh@pwc.com

Prachi Singh’s Phone Numbers +1 212-551-****

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Prachi Singh’s Location Greater Boston, Greater Boston, United States

Prachi Singh’s Current Industry Pwc

Prachi Singh’s Prior Industry Directscale | University Of Maryland | Bpm D | Phionike Solutions | Aiesec In Mumbai

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Prachi Singh is a Demonstrated history of working in the information technology and services industry. I am an avid learner and my interest lies in goofing around with data and understanding product-life cycles. I am also experienced in Visual modeling for comprehension of workflow diagrams. ❖ Languages: Python, R, MySQL, PostGreSql, SAS ❖ Tools/IDEs/Frameworks: RStudio, Git, Jupyter, Tableau, MS Office, G-suite, Anaconda, ElasticSearch, StatTool [Tableau Public: https://public.tableau.com/profile/prachi.singh8119#!/ ] ❖ Machine Learning (ML) concepts: Feature selection and dimension reduction Regression- Linear, Logistic, Ridge, Lasso Unsupervised ML- K-means, k-NN, PCA Supervised ML- Classification Trees, Random Froest, SVM Time Series- ARIMA, Exponential Smoothing, Multivariate TS Neural Networks Monte Carlo Simulations and Optimization NLP- Text classification, Sentiment Analysis One of my professional goals is to learn about the relationship between technology and business. I thoroughly enjoy the application of numbers and bridging the gap between technology and business operations by turning data into information, information into insight and insight into business decisions.