Manvinder Kaur Email & Phone Number

California, United States

Pleasant Hill, Ca, Us

Piscataway, New Jersey, Us

•On-boarded secure, scalable, and high-performance cloud HLSD solutions for a reliable cloud adoption; preformed technical interviews, architecture design sessions, feedbacks for customer's business insights.•Work with core team on list of potential activities & solutions and develop technical presentations & proposals driving end-to-end Enterprise solutions on Microsoft Azure platform.•Designed POCs for several industry business leaders using Azure Machine Learning studio (ML Studio), Azure Data Explorer (ADX), Azure Synapse Analytics to meet their automation requirements•Deployed docker container-based data-ingestion pipeline on Azure Kubernetes Services (AKS) resulting in 50% performance increase.•Designed Machine Learning evaluation tool to evaluate the models using evaluation Criteria- F1 score, recall, precision, and matrixes as per the model used.•Built team formation tool, scripted in python (Azure Databricks) for an internal hackathon event Datapalooza resulted in unbiased grouping, drastically reduced manual effort•Created ML algorithm for Memo mining applying topic modeling and feature selection using dynamic weights to proactively identify drivers for discretionary credits and bad debts, resulted in improving internal business process.

Boston, Ma, Us

• Integrating the data coming from different source of reports YouTube Campaign Performance by day of week, Campaigns by user Age/Gender/Parental status, CPA by content and campaign performance AdWords, Campaign Performance by budget and hour of day• Built charts and graphs for Descriptive statistics for Measures of Central Tendency, Measures of Dispersion, Skewness, Kurtosis, Correlation matrix • For data preparation worked on handling Missing fields, Outliers, remove non-meaningful, non-useful or too much correlated features by looking into Collinearity and Data Leakage. • Performed Association discovery by implementing various clustering techniques, G-means clusters and K-mean cluster, in BigML tool, to label the data • API implementation using AutoML, OptiML and python. • Prepared technical reports in Tableau Dashboards by integrating with BigML tool for reporting and presenting the findings in conferences.• Created S3buckets and managed roles and policies for S3 buckets. Utilized S3 buckets and Glacier for file storage and backup on AWS cloud. Used Dynamo DB to store the data for metrics and back-end reports.• Data pre-processing, cleaning and preforming EDA using NLP techniques and Python libraries such as Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn, Beautiful Soup, Orange, Rpy2, Lib SVM, neurolab, NLTK were used.• Built advanced Machine Learning classification models like XG Boost, KNN, SVM Regression and clustering algorithms Hierarchical Clustering and DBSCAN• Model evaluation using statistical metrics like F-Score, AUC/ROC, Confusion Matrix and RMSE to evaluate different model performance• Developed NLP with Deep Learning algorithms for analyzing text improving over their existing dictionary-based approaches• Created various types of data visualizations using Tableau, and other libraries like Matplotlib, Seaborn, ggplot2, Python (bokeh)

Us

Created ML models for forecasting daily outpatient visits using a combinatorial model based on ARIMA and SES models resulted in optimizing open registration desksBuilt a demand forecasting model for healthcare products using ARIMA modelRetrieving data from database by designing SQL queries to update tables, extract data for uploading, reporting, analysis and data consistency checks using tool Toad.

Monroe, La, Us

Delivered successful on-site customer consulting project for Oracle 11g migration by requirement gathering and preforming end-to-end user acceptance testing. Analyzed and translated key business requirements via process flows, workflow analysis, requirement workshops, business process storyboarding; helped in creating accurate timeframes and on-time project delivery. Created project plan, project charter, risk-treatment (including Analysis, Identification, Mitigation and contingency plan) for improved operational efficiency.

Walldorf, Bw, De

Emphasized static testing for improving the product quality by introducing special quality checks like requirement review and code review in the project life-cycle.Analyzed various processes and recommended modifications to enhance productivity and efficiency in the form of Process Improvement Requests.

New York, Ny, Us

Developed a program for migrating all application from DB2 to CBR tables in mainframes

Master'S Degree, Data Analytics

Be, Computer Science