Shraddha Sharma is an IT consultant from India currently working for Deutsche Bank in Frankfurt, Germany where she is responsible for implementing access controls and audit monitoring for vendors providing IT services. She has 9 years of experience delivering projects for major financial clients including Deutsche Bank, Deutsche Börse and Barclays, with expertise in areas like IT security, database management, and application testing. The document provides details on her education, work experience, skills, and ongoing project implementing privileged access management software for Deutsche Bank.
Big data Analytics is a process to extract meaningful insight from big such as hidden patterns, unknown correlations, market trends and customer preferences
ANALYSIS OF MACHINE LEARNING ALGORITHMS WITH FEATURE SELECTION FOR INTRUSION ...IJNSA Journal
In recent times, various machine learning classifiers are used to improve network intrusion detection. The researchers have proposed many solutions for intrusion detection in the literature. The machine learning classifiers are trained on older datasets for intrusion detection, which limits their detection accuracy. So, there is a need to train the machine learning classifiers on the latest dataset. In this paper, UNSW-NB15, the latest dataset is used to train machine learning classifiers. The selected classifiers such as K-Nearest Neighbors (KNN), Stochastic Gradient Descent (SGD), Random Forest (RF), Logistic Regression (LR), and Naïve Bayes (NB) classifiers are used for training from the taxonomy of classifiers based on lazy and eager learners. In this paper, Chi-Square, a filter-based feature selection technique, is applied to the UNSW-NB15 dataset to reduce the irrelevant and redundant features. The performance of classifiers is measured in terms of Accuracy, Mean Squared Error (MSE), Precision, Recall, F1-Score, True Positive Rate (TPR) and False Positive Rate (FPR) with or without feature selection technique and comparative analysis of these machine learning classifiers is carried out.
To remain profitable in agriculture under the present condition every farmer should consider that fertility level must be measured, this presentation based on how recommendation gives based on soil testings.
Welcome, this is a project on the study of network Intrusion Detection System, how prevention can be achieved and how Honeypot concept can be used to make network more secured. It explains the research done while developing the application software. The major research done was about understanding how intrusion detection works and how it can be implemented in my application using java as development programming language.
Big data Analytics is a process to extract meaningful insight from big such as hidden patterns, unknown correlations, market trends and customer preferences
ANALYSIS OF MACHINE LEARNING ALGORITHMS WITH FEATURE SELECTION FOR INTRUSION ...IJNSA Journal
In recent times, various machine learning classifiers are used to improve network intrusion detection. The researchers have proposed many solutions for intrusion detection in the literature. The machine learning classifiers are trained on older datasets for intrusion detection, which limits their detection accuracy. So, there is a need to train the machine learning classifiers on the latest dataset. In this paper, UNSW-NB15, the latest dataset is used to train machine learning classifiers. The selected classifiers such as K-Nearest Neighbors (KNN), Stochastic Gradient Descent (SGD), Random Forest (RF), Logistic Regression (LR), and Naïve Bayes (NB) classifiers are used for training from the taxonomy of classifiers based on lazy and eager learners. In this paper, Chi-Square, a filter-based feature selection technique, is applied to the UNSW-NB15 dataset to reduce the irrelevant and redundant features. The performance of classifiers is measured in terms of Accuracy, Mean Squared Error (MSE), Precision, Recall, F1-Score, True Positive Rate (TPR) and False Positive Rate (FPR) with or without feature selection technique and comparative analysis of these machine learning classifiers is carried out.
To remain profitable in agriculture under the present condition every farmer should consider that fertility level must be measured, this presentation based on how recommendation gives based on soil testings.
Welcome, this is a project on the study of network Intrusion Detection System, how prevention can be achieved and how Honeypot concept can be used to make network more secured. It explains the research done while developing the application software. The major research done was about understanding how intrusion detection works and how it can be implemented in my application using java as development programming language.
Criminal Record Management System in the Perspective of Somalia fowzi mohamed
The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report crime activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search any criminal using the system. This is an online web application with database system in which police will keep the record of criminals who have been arrested. We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this project. We also used binary search algorithm to find a
I am building voice assistant using Python and his different module. this presentation is a overview of main project.
for Voice recognition I use Pyttsx3, Pyaudio and speech recognition module. it have more than 20+ functions, like greetings , telling time and date, weather report , map etc.
Criminal Record Management System in the Perspective of Somalia fowzi mohamed
The project Criminal Record Management System in the perspective of Somalia is a Criminal record management system that uses to record crime activities of criminals. It can be used to report crime activities. This project is mainly useful for law and enforcement agencies in Somalia. The law and enforcement authority can preserve records of the criminals and search any criminal using the system. This is an online web application with database system in which police will keep the record of criminals who have been arrested. We have used HTML, JavaScript, CSS, PHP, MySql and Bootstrap to develop this project. We also used binary search algorithm to find a
I am building voice assistant using Python and his different module. this presentation is a overview of main project.
for Voice recognition I use Pyttsx3, Pyaudio and speech recognition module. it have more than 20+ functions, like greetings , telling time and date, weather report , map etc.
Accomplished IT professional who manages advanced technology operations for leading financial organizations. Mainframe storage management and data reduction expert: Initiated and managed numerous projects expanding storage capacity, streamlining data and optimizing efficiency with minimal or no disruption to business operations.
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...Precisely
IT leaders looking to move beyond reactive and ad hoc troubleshooting need to find the intersection of maintaining existing systems while still driving innovation - solving for the present while preparing for the future. Identifying ways to bring existing infrastructure and legacy systems into the modern world can create the business advantage you need.
View the conversation with Splunk’s Chief Technology Advocate, Andi Mann and Syncsort’s Chief Product Officer, David Hodgson where we discuss the digital transformation taking place in IT and how machine learning and AI are helping IT leaders create a more business-centric view of their world including:
• The importance of data sharing and collaboration between mainframe and distributed IT
• The value of integrating legacy data sources and existing infrastructure into the modern world
• Achieving an end to end view of IT operations and application performance with machine learning
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
10 years of technical/functional experience in different tools and utility like Ab Initio, Teradata, Sybase, UNIX, Qlik view, SAS. Mostly provided technical solution to financial firm on different product like Credit card. Fixed income, equities and mortgage.
1. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
Shraddha Sharma
Personal Details
Nationality Indian
Profession IT Consultingand Development
Years of Experience 9
Date of Birth 30.08.1984
Profile Summary
IT consultantat Tata Consulting,India.CurrentlyI’mworkingforthe AccessMinimal RightsforVendors
project(AMR4V) at Deutsche Bank,Eschborn.I’mresponsibleforimplementingaccesscontrolsand
auditmonitoringforvendorsprovidingITservicestoDeutsche Bank.
I’ve deliveredanumberof projectsformajorclientsinthe financial industryincludingDeutsche Bank,
Deutsche Börse andBarclays.
My expertise coversthe followingdomains:
IT Security
PrivilegedAccessManagement
Database Management andAdministration
Data warehousing&Reporting
Eurex tradingand clearing
Applicationtesting –SystemIntegration andUserAcceptance
Applicationoperations –24x7 on call support
- Incidentmanagementandhandling
- Productionissue analysisandresolution
2. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
Education
June 2002 - June 2006 Bachelors of Engineering (B.E)
Completed B.E degree with Computer Science from Maharshi Dayanand University
April 2001 - March 2002 Intermediate School(12th)
Completed Inter school education with Physics,Chemistry and mathematics as basic
subjects from CBSE board
April 1999 - March 2000 Completed High school education in all basic subjects fromVidya Mandir Senior
Secondary school
Professional Experience
Oct 20011 till present Tata Consultancy Services, Pune (India, Frankfurt) Assistant Consultant, Banking andfinance
Jan 2011-Aug 2011 Tavant Technologies, Noida (India) Senior software Engineer, Ticketingdomain
June 2006 – Jan 2011 Nucleus Software Exports Limited, Noida (India) Software Engineer, banking andfinance
Professional Projects
Administrative Minimal Rights for Vendors
Client: Deutsche Bank
Location: FrankfurtAm Main
Technology: Python, Networking Protocols,
Apache Tomcat, UNIX, Postgresql,Oracle
Regulatory requirements force the Bank to introducecontrols to
manage and monitor administrator activities over the bank
production servers.
BalabitShell Control Box is a user monitoring appliancethatcontrols
privileged access to remote IT systems,records activities in
searchable,movie-likeaudittrails,and prevents malicious actions.
The clients connect to the servers through RDP, SSH or TELNET
protocols and the connections go through Shell Control Box which
generates audittrails of the connections.These audittrails are
monitored by the auditors in the bank.
In the AMR4V project we are deployingand integrating the Balabit
Shell Control Box in the Deutsche Bank IT environment. I am
working as a Level-2 ServiceOperation specialistand providing24x7
Production Support for BalabitShell Control Box.Located at
Deutsche Bank, Eschborn I’m the SPOC for the bank, managing
work for a team of 3 people in India.
3. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
Roles and Responsibilities
Tool administration,configuration management, version upgrade, maintenance etc.
OnboardingITvendors to the BalabitShell Control Box
Co-ordination with various functional teams includingvendors and customers
Closely workingwith Deutsche Bank Audit team to provide the session logs and auditreview
Project activities includingplugin development, process definition and control
24x7 on call support,onsite-offshorecoordination and incidentmanagement
NewTrading Platform– F7
Client:Deutsche Börse AG
Technology:JBOSS App server,
Postgresql,UNIX Scripting
This projectwas about developinga new TradingPlatform –
providingfeatures for putting quotes, indication of interest, offers
and trades in the tradingRepo and Seclend markets.
The Deutsche Börse was lookingfor a web based application which
can be accessed from any machineand does not require any client
specific settings on each clientmachine.
This projectwas a great learningopportunity for me in terms of
learningnew technologies, German tradingmarket knowledge
Roles and Responsibilities
Initial setup/configuration of Databaseserver on Linux/Windows machines, database roles, table spaces,
partitions.
PostgreSQL databaseadministration - Backup and restore of database,auto-vacuum process with the help
of Unix Cron scripts - to recover disk space occupied by updated or deleted row, update data statistics
used by the query planner and to protect against loss of very old data due to transaction ID wraparound
Developed shell scripts for creating database dump and restore of database through da tabase
dump/conversion scripts
Defined database model with the help of Business Object Model provided by client – relational tables,
integrity constraints
Based upon the data point sign off and functional specifications,I havecreated complete databasedesign,
writing complex Views/Procedures/Triggers to display calculated/derived trading data to the end user.
Developed Master data management process.
Implemented database synchronous replication with the help of Pgpool software – replicate data from
one database server to another database server – created a Primary server and another as secondary
server and created data replication between the two servers
Handled team atoffshore - assigned tasks to the team based upon priority and capabilities of individua ls.
Also got involved with each one of them for troubleshooting
Managing database release process – maintain database conversion scripts and onsite SVN check-in
Performance analysis, troubleshooting and SIRE-/problem management tasks
Application testing including SIT and UAT, fixing SIREs raised in the client system, fixing issues, delivering
patches.
Project Green
Client: BarclaysCapital
Technology: Oracle10g, UNIX, Perl,
This projectwas about Technology migration for an existing
application in Teradata to Oraclealongwith historical data
migration.The existingapplication performancewas not efficient
4. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
Teradata enough to providereports to the regulators which were creating
reputational impactfor Barclays.
To overcome this performance issueand to enhance the application
as per business requirements was the aimof this project.
I have got opportunity to work with data warehouse ETL process –
data Extraction from sourcesystems, Transformation as per
business rules and Load transformed data to reporting data
warehouse.
Roles and Responsibilities
Historic data migration fromTeradata to Oracledatabase
Build the databasecodefor business transformation of extracted data.
Worked with Autosys schedulingtool to schedulethe daily ETL processes
Created code for Daily and monthly cleanup process for historic data –tablepartitions.
Created databaseviews for business reportingpurpose.
Databaseand table partitioningfor databaseperformanceoptimization
Worked in AWR reports analysisand performanceoptimization through - table partitioning,indexing,
hints and databaseserver optimization
Income Tax
Client: Government of India
Technology: OracleForms and Reports
This projectwas for Income Tax department of Indian government.
Worked in this project for functional and manual testingof OLTAS
(OnlineTax Assessment System) module of e-filingIncome Tax
application.
OLTAS is IncomeTax Department's initiativeto receive information
and maintain records of tax paid through banks through online
upload of challan details
Tickets.Com
Client: Major League Baseball (U.S.A)
Technology: OracleData Warehouse
This projectwas for a US client. The project was for a ticketing
company – TDC. Provenue application was used for onlinebooking
provided by Tickets.com. This application handled thesaleof tickets,
for different events in different games seasons in US basically for
baseball.Theapplication performancewas not good enough for
generating the reports for regulators and this slowperformance was
causingnoncompliance.
In this project I have worked with data warehouse performance
optimization – created data marts, Materialized views,dimensions,
fact tables,Star Schema. I have also worked on performance
5. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
optimization of the reporting queries of business users.
FinnOne-Classic
Client: Acom Financial Institution, Japan
Technology: Oracle10G
This projectwas developed for the JapaneseFinancial Institution.
The Group's principal activitiesareto providea wide range of
financial services.They have loan,credit card and guarantee
businesses.The operations were carried outthrough the two
divisions:Financial services and other operations.
For its financial services,the organization was usinga systemsince
longtime and the system was efficient enough to give a down time
of hardly 8 seconds.They gave us a challengeto build the new loan
system with 0 seconds downtime. The application had different
modules – Security, Loans, Guarantee, Write-off, Collections.
This projectwas a good opportunity to work with a banking
application,closely lookinginto the Japanese loan system and the
new culture.
Roles and Responsibilities
Involved in the development of the prototype, Collections Module,with base navigation and data flow,in
initial phases of the Project.
Involved in the initial databasesetup likecreatingdata dictionary,ERdiagramand data modelling.
Developed the DFDs and FSDs for the screens of different processes in the project based upon this
information.
Created request-response XMLs and XSDs to populaterequest- responsetables through triggers,database
Procedures, Tables,Views, Sequences, Synonyms and Triggers in Oracle10g Database.
Performed SIT and UAT testing in client
Presented the entire Collections module of the application to the Japanese client.
Skills
Programming Python, Unix Shell Scripting
Database OraclePL/SQL, PostgreSQL, OracleData warehouse
Configuration Management SVN/Git, Perforce, Clearcase
Development Methodologies Scrum, Waterfall
Audit log Review BalabitShell Control Box
Tools MicrosoftOffice,PL/SQL Developer, SQL Developer, Toad, PgAdmin, Autosys,
Cygwin, MicrosoftVisual Studio,SQL Loader, WinScp,SVN, OracleE-Business Suit
Domain Bankingand Finance
6. Breitlacherstrasse 113 • 60489 Frankfurt am Main • Germany • shraddha.sharma@yahoo.co.in • +49
15163539680
Access control and session auditLog review
Multi-cultural team work abilities
Team management at onshore and offshore
Oracle Certified Associate 1ZO-047 – Oracle Database SQL Expert
Highly developed communication and leadership skillsrequiringthe ability to make independent decisions
resultingin the positiveoutcomes.
Ability to work in team as well as individual contributor.
Ability to apply knowledge, integrate the application of knowledge, skills,and senseof responsibilitiesto new
settings and complex problems
Language Ability
English Fluent Written, Verbal
German Learner Understand
Awards
Many times awarded with On the Spot Award by TCS for hard work and achievement in Project deliveries.
Interests
I enjoy communication, travelling, running and learning new cultures.