Latha V Email & Phone Number

Frisco, Texas, United States

• Initiated the project of data migration from Amazon Redshift to Snowflake for data incoming from Salesforce, SharePoint and ServiceNow using Informatica Cloud.
• Designed a two-way synchronized loading mechanism for Enterprise Data Warehouse to load data into/from Snowflake from SQL Server.
• Prepared structured data for Tableau dashboards from the migrated data and designed new dashboards for reporting purposes.
• Deployed and optimized big data streaming service (Flink and Kafka)
• Assisted Business Intelligence and Data Engineering teams on data investigation, interpreting variables, deciding on proof of concepts and synthesized complex information to frame and answer important data questions
• Planed team's roadmap, designed and built Streaming and Batching recommendation models across multiple teams

Dallas, Texas, United States

• Performed risk assessment by deriving insights from customer data and developing a risk scorecard for suppliers
• Used Predictive Analytics and Machine Learning to forecast company sales of new products with 85% accuracy
• Performed feature analysis of suppliers’ data, used unsupervised algorithms like clustering to detect anomalies/outliers and developed fraud detection algorithms for industry customers
• Used Principal Component Analysis in feature engineering to analyze high dimensional data
• Derived insights from datasets and developed KPI dashboards to present them to stakeholders using Tableau
• Wrote complex SQL queries and procedures to extract relevant data from the system’s database

Dallas, Texas, United States

• Work with the statistician team to conduct the hypothesis testing for the research (parametric and nonparametric test, logistic regression, permutation test)
• Check the data cleaning process and validated the data accuracy (maker checker check list)
• Build the automation algorithm for data merging and statistical analysis using Python (pandas, scipy, matplotlib, statistics)
• Construct the interactive App using R (R shiny). Collaborated with top pharmaceutical companies using to produce informative results
• Analyzed large-scale datasets and performed statistical modeling using various tools (SAS/Python/SQL/R)
• Implement machine learning methodology for claim research. Manage team's workload, QC the code, and provide results for DBs. Worked with statisticians to create the hypothesis testing

New Jersey, United States

• Created and designed reports that will use gathered metrics to infer and draw logical conclusions of past and future behavior
• Performed market analysis to efficiently achieve targeted marketing objectives improving sales by 20%
• Worked on a ML algorithm using Isolation Forests to detect referral coupon fraud improving accuracy by 15% from an earlier prediction model sales by 20%
• Used data cleaning techniques to fine tune customer data and used Random Forest algorithm to help identify loyal customers and predict the likelihood of customers buying a recommended product
• Processed industry datasets in Hadoop and further analyzed in Apache Hive to optimize model parameters
• Performed data analysis to determine critical factors in MATLAB using data blending, action filters and parameters, created interactive data visualizations and storyboards in Tableau