Daneshwari (Dani) M.

Daneshwari (Dani) M. Email and Phone Number

Senior Quantitative Analyst | Masters in Data Science @ USAA
Daneshwari (Dani) M.'s Location
New York, New York, United States, United States
Daneshwari (Dani) M.'s Contact Details

Daneshwari (Dani) M. work email

About Daneshwari (Dani) M.

Daneshwari (Dani) M. is a Senior Quantitative Analyst | Masters in Data Science at USAA. They possess expertise in financial advisory, neural networks, logic, finacle, consulting and 286 more skills.

Daneshwari (Dani) M.'s Current Company Details
USAA

Usaa

View
Senior Quantitative Analyst | Masters in Data Science
Daneshwari (Dani) M. Work Experience Details
  • Usaa
    Senior Quantitative Analyst
    Usaa 2022 - Present
    San Antonio, Texas, Us
    • For forecasting suspicious transactions, built compared Facebook's Prophet based model, linearly weighted moving average and seasonal decomposition ARIMA models, among which, the latter performed the best• Applied Named Entity Recognition NLP model to analyze the flow of transactions and transacting patterns in order to find the root cause of increase in transaction volumes compared to historical trends• Used Random Forest Classifier and XGBoost to understand the relationship between predictors and suspicious transactions, in order to identify important features which predicted money laundering activity • Applied NLP model trained on financial articles to identify industries, using similarity score, to find the cause of historic wires transaction volume drop compared to historical trends.• Developed automated reports with plots and metrics to track the month-over-month trends in Alerts, Cases and SARs• Applied Stratified Random Sampling technique to obtain and evaluate massive continuous and discrete variable datasets, through Distribution Analysis of representative samples• Applied K-Means clustering to group similar transactional and customer profiles for segmentation and selected best clustering method based on cluster evaluation metrics• Implemented and presented a proof of concept new method for AML rules by combining variables and applying distribution analysis to filter suspicious transactions• Conducted statistical tests (kolmogorov smirnov, t-test) to compare transaction distributions• Extracted transactions details from unstructured dataset and conducted distribution analysis to determine new Anti-money Laundering scenario-based thresholds• Analyzed historical monthly transactions to find the cause of deviation in a given month's incoming and outgoing transaction volume and amount
  • Pwc
    Senior Associate
    Pwc 2015 - 2021
    Gb
    Data and Analytics

Daneshwari (Dani) M. Skills

Financial Advisory Neural Networks Logic Finacle Consulting Occ Data Flow Anti Money Laundering Infrastructure Import Draft Rdbms Cost Authentication Consideration Agile Methodologies Credit Risk Mentoring Toad 9.0 Finance Tableau Tight Deadlines Poi Talent Acquisition Structure Job Posting Significance Rapidminer Programming Toad For Oracle Lld Apis Hibernate Expedited Cross Functional Team Leadership Test Design Electronic Engineering Basel Iii Detection Database Triggers Transaction Processing Steel Detailing Requirements Gathering Management Argouml Design Exact Lifestyle Airlines Private Banking Science Key Performance Indicators Servlets Currency Sensitivity Integration Data Backup Metrics Gem Microsoft Visual Source Hiring Rules Auditing Core Java Jsp Tags Powerpoint Monitors Porting Lean Manufacturing Sdlc Blood Liaising Public Speaking Human Resources Methodology Circuit Analysis Trees Low Level Design Web Applications Tomcat Networking Foundation Expediting System Manuals Sugar Data Recovery Integration Testing Bangalore Validation Tests Uml Sage Act Reservation Flat Patterning Reports Umbrella Insurance Technical Documentation Risk Analysis Data Modeling User Acceptance Testing Fast Paced Environment Tables Xml Microsoft Excel Value Based Pl/sql Piloting Offshore Financial Institutions Vss Testing Bank Deposits Training Ms Project Sas E Miner Contests Love Materials Management Extract Modeler Diabetes Solution Scripting Conferences Scheduling Project Management Ishikawa Research Emerging Technologies System Monitoring Swt Reporting Corporate Social Responsibility Stakeholders Commercial Real Estate Investigation User Stories Jdbc R&d Downstream Oil And Gas Analysis Project Charter Full Sdlc Auto Gui Data Integration R Query Analyzer Etl Jersey User Training Economics Coordination Retail Upstream Graphic Design Fix Protocol Applications Linear Regression Data Analysis Self Managed Restful Web Services Schedules Angels Soap Decision Trees Text Mining End User Training Snmp Html Values Forming Argus Electricians Maps Queries Neural Credit Quantitative Analytics Network Administration Drafting Social Influence Mvc System Performance Mining Client Analysis Model Design Microsoft Project Business Case Microsoft Visual Source Safe Remediation Data Logging Project Sql Parsing Multithreading Market Basket Analysis Dashboard Retail Banking Analytics Product Presentation Data Migration Pencil Context Dmaic Presentations Remote Deposit Capture Linkedin Change Requests Solution Delivery Encompassing Responsibility Simple User Interface Six Sigma Means Internal Audit Banking Classification Efficient Portals Collaborating Root Cause Analysis Branches Trade Services Sprints Microsoft Sql Server New York Academic Regression Testing Scrum Process Improvement Visio Class Diagrams Data Quality Software Sas Charter Oracle Eclipse Financial Services Sensitive Information Sequence Auc Java Microsoft Word Test Cases India Rate Network Communications Business Process Clutter Control Interviews Welfare Collateral Javascript Anomaly Detection Tracing Market Analysis Deployed Product Demonstration Python Non It Professional Background Culture Financial Transactions Sampling Credit Scoring Risk Cluster Analysis Trading Conceptual Modeling Mis Meetings Diagrams Industrial Sector Logging Architecture Lifestyle Management Transform Recruiting Negative Txt Coordinated Automation Gaps Prototype Propagation Databases

Daneshwari (Dani) M. Education Details

  • Columbia University
    Columbia University
    Data Science
  • University At Buffalo
    University At Buffalo
    General

Frequently Asked Questions about Daneshwari (Dani) M.

What company does Daneshwari (Dani) M. work for?

Daneshwari (Dani) M. works for Usaa

What is Daneshwari (Dani) M.'s role at the current company?

Daneshwari (Dani) M.'s current role is Senior Quantitative Analyst | Masters in Data Science.

What is Daneshwari (Dani) M.'s email address?

Daneshwari (Dani) M.'s email address is da****@****ail.com

What schools did Daneshwari (Dani) M. attend?

Daneshwari (Dani) M. attended Columbia University, University At Buffalo.

What are some of Daneshwari (Dani) M.'s interests?

Daneshwari (Dani) M. has interest in Human Rights, Animal Welfare, Children, Disaster And Humanitarian Relief.

What skills is Daneshwari (Dani) M. known for?

Daneshwari (Dani) M. has skills like Financial Advisory, Neural Networks, Logic, Finacle, Consulting, Occ, Data Flow, Anti Money Laundering, Infrastructure, Import, Draft, Rdbms.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.