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jobs
ruchi jain
,
Slough, United Kingdom
Experience
Other titles
Skills
I'm offering
Experienced Data Scientist with over 5 years of experience in Data Analytics and IT. Possessing extensive knowledge of handling, managing, and munging data using various programming languages and technologies. Expertise in designing and developing predictive models using machine learning, data mining, and statistical techniques/methods. Proficient in building interactive dashboards, many types of data visualizations, detailed documents and reports.
Markets
United Kingdom
Language
English
Fluently
Ready for
My experience
2019 - ?
freelance
Data Scientist
BSI Group Limited.
• Developed a predictive model in Python using Natural language Processing (NLP) and Naïve Bayes technique to classify the text of BSI audits and surveys.
• Developed a model in R using Chi-Squared Automatic Interaction Detection (CHAID) decision tree and Logistic Regression to analyse the spending habits of customers on BSI products.
• Took an ownership to plan, develop, execute, and manage the multiple tasks/projects.
• Analysed and processed complex dataset using advanced querying in SQL and visualization tool i.e. Tableau.
• Communicated with various stakeholders across the business to find data science opportunities.
• Developed a model in R using Chi-Squared Automatic Interaction Detection (CHAID) decision tree and Logistic Regression to analyse the spending habits of customers on BSI products.
• Took an ownership to plan, develop, execute, and manage the multiple tasks/projects.
• Analysed and processed complex dataset using advanced querying in SQL and visualization tool i.e. Tableau.
• Communicated with various stakeholders across the business to find data science opportunities.
Python, Sql, Data Science, R, Tableau, Surveys, NLP, Natural, Science, Visualization, Processing
2018 - 2019
freelance
Data Scientist - Senior Consultant
Sopra Steria Limited.
• Developed a model in AWS Machine Learning to perform customer churn prediction using telecommunication data.
• Led a team to develop a dashboard in SAS to present the financial summary and identify operational risks in the existing projects.
• Explored Deep Learning in Python to develop a model for predicting the stock prices using TensorFlow.
• Led a team to develop a dashboard in SAS to present the financial summary and identify operational risks in the existing projects.
• Explored Deep Learning in Python to develop a model for predicting the stock prices using TensorFlow.
Python, Machine learning, AWS, Deep learning, Tensorflow, SAS, LED
2016 - 2018
job
Data Scientist
BAE Systems Applied Intelligence.
• Developed a recommendation model in Python using Collaborative Filtering technique to suggest retail products and services to customers.
• Developed a model in Python using Random Forest technique to predict the bank loan behaviours.
• Processed and analysed transport data using Apache Pig framework on Hadoop.
• Developed a dashboard to present the summary of immigration data and statistics using Tableau.
• Processed and recommended different machine learning techniques/methods in R to be used for tuning alerts in suspicious transaction monitoring.
• Conducted a data audit across divisions and functions to assess the data protection within the business.
• Performed analysis on Twitter data for identifying the most malicious disseminators using Open Source Intelligence Tool (OSINT).
• Developed a model in Python using Random Forest technique to predict the bank loan behaviours.
• Processed and analysed transport data using Apache Pig framework on Hadoop.
• Developed a dashboard to present the summary of immigration data and statistics using Tableau.
• Processed and recommended different machine learning techniques/methods in R to be used for tuning alerts in suspicious transaction monitoring.
• Conducted a data audit across divisions and functions to assess the data protection within the business.
• Performed analysis on Twitter data for identifying the most malicious disseminators using Open Source Intelligence Tool (OSINT).
Python, Machine learning, Retail, R, Tableau, Apache, Statistics, Audit, Hadoop, Twitter, Open source, Monitoring, Audit, Tuning, Framework
2014 - 2016
job
R&D Software Engineer/Scientist - Data Analytics
Cumulus Systems Private Ltd.
• Developed a model in R and Perl using Holt-Winters Exponential Smoothing and Autoregressive Integrated Moving Average (ARIMA) Model to best predict/forecast time series data of different intervals and frequency.
• Performed a correlation analysis on multiple time series using Principal Component Analysis (PCA).
• Developed a framework in Python for clustering time series data to identify outliers in resources using K-Means approach.
• Developed a framework in R for change-point analysis in time series to see if sets of data differ significantly using Student's t-test.
• Worked on a data-driven approach for identifying deviant behaviour of resources, that involved computation of a baseline based on the historical section of time series data in R and Python using Locally Weighted Scatterplot Smoothing (LOESS) regression technique.
• Planned, designed and managed the UI flow of adding baseline feature to existing charts and explored how a client will interact with and use this feature.
• Contributed to all tasks related to baseline feature from R&D to release documents.
• Turned time series analysis results into interactive web applications using R Shiny framework.
• Created and managed dynamic documents, presentations and reports from R using R Markdown framework.
INTERNSHIP/PLACEMENT EXPERIENCE:
• Performed a correlation analysis on multiple time series using Principal Component Analysis (PCA).
• Developed a framework in Python for clustering time series data to identify outliers in resources using K-Means approach.
• Developed a framework in R for change-point analysis in time series to see if sets of data differ significantly using Student's t-test.
• Worked on a data-driven approach for identifying deviant behaviour of resources, that involved computation of a baseline based on the historical section of time series data in R and Python using Locally Weighted Scatterplot Smoothing (LOESS) regression technique.
• Planned, designed and managed the UI flow of adding baseline feature to existing charts and explored how a client will interact with and use this feature.
• Contributed to all tasks related to baseline feature from R&D to release documents.
• Turned time series analysis results into interactive web applications using R Shiny framework.
• Created and managed dynamic documents, presentations and reports from R using R Markdown framework.
INTERNSHIP/PLACEMENT EXPERIENCE:
Python, UI, R, Test, Analytics, Perl, Software, Web, Feature, Forecast, Framework, Internship, Principal Component
2008 - 2009
temp
IT Applications Placement Student
Rolls-Royce Motor Cars Ltd.
• Managed Rolls-Royce's Intranet using PHP, HTML, CSS and JavaScript.
• Assisted users for setting up new accounts on the Intranet, SAP, and email.
• Trained users for creating, editing and releasing web pages on the Intranet.
• Designed and developed work wear order system and replaced paper processes to online using Microsoft SharePoint.
• Monitored Electronic Data Interchange (EDI) messages sent and received via SAP.
• Used VB in an excel environment for generating Key Performance Indicator (KPI) graphs.
• Assisted users for setting up new accounts on the Intranet, SAP, and email.
• Trained users for creating, editing and releasing web pages on the Intranet.
• Designed and developed work wear order system and replaced paper processes to online using Microsoft SharePoint.
• Monitored Electronic Data Interchange (EDI) messages sent and received via SAP.
• Used VB in an excel environment for generating Key Performance Indicator (KPI) graphs.
Javascript, Css, Php, Html, Excel, HTML/CSS/Javascript, SharePoint, SAP, It, KPI, Web, Online, EDI, Vb, Processes, UP
My education
University of Hertfordshire
MSc, Research
MSc, Research
University of Hertfordshire
BSc, Computer Science
BSc, Computer Science
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