• Demonstrated expertise in data extraction and manipulation in BigQuery, successfully managing a team of 3 data analysts and processing an average of 10+ legal requests per month, significantly improving the efficiency of legal operations• Designed and developed an interactive Tableau dashboard that intelligently identifies and lists potential fraudulent sellers, effectively increasing the detection rate by 80%• Designed a ML model to mitigate buyer-seller collusion, effectively lowering financial losses to 20% of the total, with the total losses previously being $20M • Conduct regular meetings and presentations to communicate business performance and progress to the team and stakeholders• Executed fuzzy matching algorithms using Python on a dataset exceeding 10M records• Oversee relationships with stakeholders, including business clients, cross functional teams, and vendors

Investigative Risk Operation Compliance Center (IROCC)

• Extracting the incoming breast cancer data from MongoDB (NoSQL) writing SQL queries using Studio3T (MongoDB GUI).• Parsing, analyzing incoming breast cancer data, performing data wrangling, data munging using Excel and R, thereafter implementing exploratory data analysis in R to further understand the various trends in the data such as Q-Q plot, histograms, heat map, correlation plots, etc with creative and multicolor graphs.• Implementing various machine learning algorithms such as LDA, linear regression, SVM, Random forest, Clustering, K-Means on the breast cancer data in R to differentiate malignancy and non-malignancy in patients, hence comparing the statistical measures such as sensitivity, specificity, accuracy, R - squared, RMSE, etc. • Develop a neural network model using TensorFlow, scikit-learn in python, integrated with the Android app, AWS cloud, and web API.• Develop the web portal internally using Python, Flask, HTML for the trained model.• Dashboard creation in Power BI using Tableau to present a report to the management team.• Designing a complete prototype of a web portal for the end users using Mockingbot for the future node.js implementation. • . Presenting the data and the analysis to the stakeholders using MS PowerPoint.

• Data extraction from database using SQl queries• Cleaned, transformed data and derive significant results using Excel thereafter preparing reports

• Assemble information, perform data entry, establish time series analysis• Developed an application named SPOT using JavaScript, HTML, MYSQL, and Apache Server which allows the user to search various genes.• Development of SQL databases, statistical reports/dashboards, and turn raw data into actionable information.• Analyzed the dataset using ANOVA and regression techniques to create predictive models in R to estimate the cost with respect to numerous variables.• Develop and Maintain Dashboards using Tableau to create KPI’s to monitor and stabilize panel data for deeper Report Insights• Use tools like SQL and Tableau to aid in reporting in creating business decisions.• Implemented data visualization and analysis on huge microarray data sets using R, Tableau, and Python. • Designing labs for Knowledge discovery, Data mining concepts and Bioinformatics algorithms in R, Python, and MySQL.• Apply statistical analysis for multiple scales of data in Microarrays, Big Data, and HealthCare data using R.

• Created automated functions using VBA to calculate the amount data collected per fiscal year and performed cost analysis by generating visualizations and reports using Tableau.• Created active dashboards with linked visualizations using Tableau. • Wrote and developed complex SQL queries to double check the data into the product. • Utilized machine learning algorithms to create different predictive models using R.• Migrated and automated the reports from Excel to Tableau.• Planned and coordinated test schedules with management, created user stories and used JIRA for project management.• Utilized multiple SDLC methodologies including Waterfall, Agile, and Agile Scrum. • Served as liaison between business stakeholders and development team which involved translating business requirements to tech requirements, thereafter preparing BRD using Microsoft Word. • Used Microsoft Visio to create the UML diagrams and worked in a fast-paced environment• Elicited, gathered, documented and managed user stories (backlogs) for enterprise and mobile device applications.• Gathered new business requirements and analyze their impact on existing operational features.• Worked with the SME’s to define business critical needs and analyze the possible technical solutions.• Conducted JAD sessions with management, SME, vendors, users and other stakeholders for open and pending issues.• Served as single point of contact to the customers for presenting any new feature in the product or any production issue.• Collaborated with client’s team to elicit requirements, close the design gaps and managed the constant design changes. • Participated in the sprint meetings (Scrum) by giving the updates and assigning the tickets on JIRA to the developers. • Managed UAT efforts for the team including writing the UAT test plan and test cases, executing test cases, managing defects to resolution, and providing executive level reporting on UAT progress.