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ai desk data analyst

Impact Business Technologies

Job SummaryWe are looking for a Data Scientist who can analyze large and diverse datasets to extract meaningful insights and build data-driven solutions. The role involves working on multiple business problems including, but not limited to, marketing data analysis, user behavior analysis, operational analytics, and predictive modeling.The ideal candidate is curious, analytical, and capable of translating data into actionable business insights.Key Responsibilities<ul><li>Analyze structured and unstructured data from multiple sources</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies</li><li>Build statistical and machine learning models for prediction, classification, and clustering</li><li>Clean, preprocess, and validate large datasets</li><li>Design and maintain dashboards and reports for business stakeholders</li><li>Work on marketing, product, operational, and business analytics use cases as required</li><li>Conduct A/B testing and experiment analysis</li><li>Collaborate with cross-functional teams to define data problems and deliver insights</li><li>Document models, assumptions, and findings clearly</li></ul>Required Skills &amp; QualificationsMust Have<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics or related field</li><li>Minimum 1 year of experience working as data scientist.</li><li>Strong proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn)</li><li>Good understanding of statistics and probability</li><li>Experience with SQL and relational databases</li><li>Familiarity with machine learning algorithms (regression, classification, clustering)</li><li>Ability to interpret data and communicate insights clearly</li><li>Experience with Power BI / Tableau / Looker</li><li>Exposure to NLP or time-series analysis</li><li>knowledge of cloud platforms (AWS / Azure / GCP)</li><li>Experience working with APIs and large-scale datasets</li><li>Familiarity with data pipelines and ETL concepts</li></ul>Tools &amp; Technologies<ul><li>Python, SQL</li><li>Jupyter Notebook</li><li>Power BI / Tableau</li><li>Excel / Google Sheets</li><li>Git (version control)</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to explain complex concepts in simple terms</li><li>Ownership mindset and attention to detail</li><li>Willingness to learn and work across different problem domains</li></ul>Job Type: Full-timePay: Rs170,000.00 - Rs175,000.00 per monthWork Location: In person

AI Desk Data Analyst

Nisum

<div>
 We are seeking a Prompt Engineer/Data Analyst to join our team. This hybrid role blends strong data analysis expertise with emerging AI capabilities to optimize Generative AI systems and ensure high data quality for AI-driven initiatives. The ideal candidate is analytical, detail-oriented, and passionate about improving LLM-based solutions to deliver measurable business value.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, test, and optimize prompts for various LLM applications (GPT-4, Claude, Llama).
 </li>
 <li>
 Develop reusable prompt templates and implement advanced techniques (few-shot, chain-of-thought, structured prompting).
 </li>
 <li>
 Conduct A/B testing to evaluate and improve prompt performance across different models.
 </li>
 <li>
 Prepare, clean, and validate datasets for fine-tuning and RAG systems.
 </li>
 <li>
 Build and maintain data pipelines to feed structured context into AI systems.
 </li>
 <li>
 Define, track, and report KPIs such as accuracy, latency, and cost efficiency.
 </li>
 <li>
 Develop evaluation frameworks to assess LLM outputs (relevance, factuality, consistency).
 </li>
 <li>
 Create dashboards and reports to communicate AI performance and impact to stakeholders.
 </li>
 <li>
 Maintain prompt libraries, knowledge bases, and documentation for AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams including Engineering, Product, and QA in Agile environments.
 
 
 </li>
 </ul>
 
 What You Know
 
 
 
 <ul>
 <li>
 4+ years of experience as a Data Analyst, Business Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in SQL for data extraction and analysis.
 </li>
 <li>
 Hands-on experience with Python (pandas, numpy) for data manipulation.
 </li>
 <li>
 Experience working with LLM APIs (OpenAI, Anthropic, or open-source models).
 </li>
 <li>
 Solid understanding of prompt engineering techniques and LLM behavior.
 </li>
 <li>
 Experience with RAG systems and vector databases.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, or similar).
 </li>
 <li>
 Basic knowledge of APIs, JSON/CSV formats, and Git version control.
 </li>
 <li>
 Comfortable working in cloud environments (AWS, Azure, or GCP).
 
 
 </li>
 </ul>
 
 Secondary Skills (Nice To Have)
 
 
 
 <ul>
 <li>
 Knowledge of vector embeddings and semantic search.
 </li>
 <li>
 Familiarity with LangChain, LlamaIndex, or similar frameworks.
 </li>
 <li>
 Experience working in Agile environments using Jira/Confluence.
 </li>
 <li>
 Background in software testing, QA, or SDLC processes.
 </li>
 <li>
 Experience in enterprise domains (financial services, insurance, retail).
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Information Systems, or a related field.
 </li>
 </ul>
</div>

Prompt Engineer/Data Analyst

Cloudelligent

<div>Cloudelligent is looking for competent candidates for the position of Service Desk Engineer (L1) 
 
Position Title: Service Desk Engineer 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. 
 
Responsibilities<ul><li>
Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.</li><li>
Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards</li><li>
Act as a contact point between Helpdesk Operations and Other external and internal teams.</li><li>
Escalate issues to relevant teams based on SOP &amp; Escalation matrix</li><li>
Provide Incident Response (IR) support when analysis confirms actionable incident</li><li>
Perform incident closure, verifying problem resolution with Users and documenting resolution procedures</li><li>
Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.</li><li>
IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems</li><li>
Troubleshoot software, hardware, and network issues.</li><li>
Guide end-users on how to setup and use new technologies.</li><li>
Perform vendor management for procurement and support (Cloudelligent/Clients).</li><li>
Assist Cloud team with migration and supporting infrastructure on Azure/AWS.</li><li>
Backup and restore the organization's data files and systems.</li><li>
Install, configure, and upgrade PC software and operating systems.</li><li>
Manage inventory and track IT assets used by the organization.</li><li>
Author, edit, and manage IT documentation to improve our clients' IT policy, procedures, and protocols.</li><li>
Manage the helpdesk collaboratively for optimal performance and support by resolving incidents in a timely manner.</li><li>
Prepare and present weekly updates.</li><li>
Participate in IT projects.</li></ul>
Requirements<ul><li>
Bachelor's degree in information technology, computer science or related field.</li><li>
2+ years of experience providing customer-focused technical support.</li><li>
Exceptional verbal, written, and interpersonal communication skills.</li><li>
Hands on experience with service desk ticketing systems, email, online chat, service support process, and SLA.</li><li>
Strong interest in IT support, technical troubleshooting, and cloud technologies.</li><li>
Basic understanding of IT methodologies and service desk operations.</li><li>
Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365). Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.</li><li>
Knowledge of cloud platforms (AWS or Azure) is a plus.</li><li>
Should be able to work in 24/7 environments.</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li><li>
AWS Cloud Practitioner certification is highly preferred.</li></ul>
LUPIbtTosK</div>

Service Desk Engineer

Securiti AI

<div>
 
 About Us
 
 
 
 Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including;
 
 
 <ul>
 <li>
 Most Innovative Startup by RSA
 </li>
 <li>
 Top 25 Machine Learning Startups by Forbes
 </li>
 <li>
 Most Innovative AI Companies by CB Insights
 </li>
 <li>
 Cool Vendor in Data Security by Gartner
 </li>
 <li>
 Privacy Management Wave Leader by Forrester
 
 
 </li>
 </ul>
 Be part of an exciting team of researchers, developers, and data scientists developing a new set of foundational technologies that will help enterprises navigate a new era of data privacy and protection regulations globally.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Monitor and analyze global data privacy and AI laws and regulatory developments (e.g., GDPR, CPRA, LGPD, PDPL, EU AI Act, DPDPA, etc.) and maintain regulatory research databases.
 </li>
 <li>
 Interpret case law, official decisions, and regulatory guidance to provide informed privacy and AI legal guidance.
 </li>
 <li>
 Advise business development teams, customers, partners, product teams, internal compliance teams, and other stakeholders on data privacy and AI laws, as well as global best practices related to cookie banners, DSR forms, privacy notices, assessments, etc.
 </li>
 <li>
 Collaborate with industry experts to co-author, edit, and review articles on the privacy and AI landscape.
 </li>
 <li>
 Work with the product marketing and content teams to produce collaterals and knowledge center blogs on legal developments pertaining to AI and privacy.
 </li>
 <li>
 Work closely with product development teams on the development and implementation of regulatory features to ensure default compliance within Securiti&rsquo;s privacy modules.
 
 
 </li>
 </ul>
 Discover, collect, and maintain authoritative sources of privacy regulations, guidance, and case law; regularly source and organize regulatory information and developments to develop and maintain privacy and AI research databases.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or higher degree in Law.
 </li>
 <li>
 At least 1-2 years of work experience in a related legal role.
 </li>
 <li>
 Excellent legal research and comprehension capabilities; specifically, ability to understand, analyze, summarize, and explain global privacy legal requirements and developments regularly.
 </li>
 <li>
 Excellent writing and drafting skills.
 </li>
 <li>
 Ability to occasionally coordinate with remote global teams outside of regular working hours.
 </li>
 <li>
 Certifications in Privacy such as CIPP from organizations like IAPP are a plus.
 </li>
 </ul>
</div>

Global Compliance Analyst

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 Type: Remote, Full-time
 
 
 Job Description:
 
 
 This is a role responsible for designing, building, and maintaining the automated testing frameworks and Python SDKs required for data integration, parity verification, and user accessibility in the Industrial IoT / Smart Buildings domain.
 
 
 We are seeking a Senior Data Engineer with strong Python and PySpark skills, and proven implementation of automated Data Quality frameworks and CI/CD pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.
 
 
 Qualification / Skill Set Requirement:
 
 
 <ul>
 <li>
 5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem
 </li>
 <li>
 Expert Python skills (building Libraries/SDKs, Py4J)
 </li>
 <li>
 Strong experience with PySpark and DataFrames
 </li>
 <li>
 Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines
 </li>
 <li>
 Experience with Data Quality tools (Great Expectations, Deequ)
 </li>
 <li>
 Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans)
 </li>
 <li>
 Experience with Databricks and Delta Lake optimization
 </li>
 <li>
 Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management
 </li>
 <li>
 Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks
 </li>
 <li>
 Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance)
 </li>
 <li>
 Certifications preferred: Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have)
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implement scalable and efficient data solutions on Spark and Flink
 </li>
 <li>
 Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst.
 </li>
 <li>
 Build automated Parity Test Suite: CI/CD pipeline that runs queries against "Golden Datasets" in both Spark and Flink and asserts equality
 </li>
 <li>
 Implement Data Quality (DQ) Rules configuration: Defining thresholds for "Completeness" and "Validity" that can be enforced
 </li>
 <li>
 Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency
 </li>
 <li>
 Transform, clean, and prepare data using SQL, Python and Java
 </li>
 <li>
 Monitor and fine-tune workloads and pipelines for optimal performance and reliability
 </li>
 <li>
 Maintain CI/CD pipelines
 </li>
 <li>
 Maintain clear documentation of solutions, configurations, and workflows
 </li>
 <li>
 Actively participate in Agile team activities and continuous improvement initiatives
 </li>
 <li>
 Promote and enforce data engineering best practices, including data governance, security, and data quality
 
 
 </li>
 </ul>
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 Powered by JazzHR
 
 
 RXObX8Jt99
</div>

Sr. Databricks Azure Data Engineer

o2geeks

We are seeking an analytically rigorous and systems-oriented Executive Operations &amp; Strategic Research Analyst to support senior leadership in business intelligence, product research, and strategic decision-making. This role bridges social insight with operational execution, leveraging qualitative and quantitative research to inform product direction, market positioning, and organizational strategy.Candidates with academic training in Sociology and Gender Studies are strongly encouraged to apply, particularly those with expertise in institutional analysis, social systems, inequality frameworks, and behavioural research.Key ResponsibilitiesBusiness Research &amp; Market Intelligence<ul><li>Conduct structured market research and competitive landscape analysis</li><li>Analyze industry trends, regulatory developments, and socio-economic drivers</li><li>Prepare executive briefs, white papers, and strategic memos</li><li>Evaluate emerging risks related to AI ethics, bias, governance, and compliance</li><li>Support leadership in scenario planning and long term strategy modeling</li></ul>Product Research &amp; User Insight<ul><li>Design and execute qualitative research (interviews, focus groups, ethnographic analysis)</li><li>Identify unmet user needs across demographic and identity segments</li><li>Conduct inclusion and accessibility assessments</li><li>Translate behavioral insights into product recommendations</li><li>Collaborate with product managers and UX teams to refine feature strategy</li></ul>Executive Operations Support<ul><li>Develop KPI frameworks and performance dashboards</li><li>Support cross-functional coordination across product, legal, compliance, and engineering</li><li>Conduct operational audits to identify inefficiencies and risk exposure</li><li>Prepare board level materials and data-driven reports</li><li>Track product adoption patterns and stakeholder engagement</li></ul>Preferred Technical Skills<ul><li>Data analysis (Python, R, or SQL preferred)</li><li>Survey design and statistical interpretation</li><li>Familiarity with AI systems and machine learning concepts</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Sociology, Gender Studies, Social Sciences, Psychology or related field</li><li>Strong research methodology background (qualitative and quantitative)</li><li>Experience in structured analysis and executive level reporting</li><li>Advanced written communication skills with ability to synthesize complex information</li></ul>Growth OpportunityThis role offers exposure to:<ul><li>Executive decision making processes</li><li>AI and emerging technology ecosystems</li><li>Strategic planning and digital transformation</li><li>Product lifecycle and innovation management</li></ul>Candidates who demonstrate initiative and continuous learning will have opportunities to expand into leadership, product strategy, or advanced research roles within the organization.Job Types: Full-time, InternshipPay: From Rs20,000.00 per monthWork Location: In person

Strategic Research Analyst

Fatima Group

<div>
 
 
 Fatima Petroleum Company Limited (FPCL)
 
 is looking to hire
 
 Manager &ndash; Enterprise &amp; Technical Applications.
 
 The digital ecosystem is a key strategic pillar for FPCL as a startup E&amp;P company.
 
 
 
 
 
 
 Why Join Us
 
 
 
 
 
 
 This role is accountable for planning, budgeting, commissioning, and overseeing enterprise and technical applications while coordinating with vendors, IT infrastructure teams, and business stakeholders. The role supports adoption of cloud, data platforms, and advanced analytics (including LLM and Geo-AI) to enable efficient technical workflows.
 
 
 Responsible for assessing &amp; deploying as per company&rsquo;s digital ecosystem and IT vision &amp; model, managing and enabling the enterprise applications, technical databases, and digital application platforms. The incumbent would support Exploration, Drilling, Development and Production functions across the E&amp;P lifecycle. The role ensures reliable, secure, and scalable application and data platforms, act as the IT Business Partner for technical functions, and oversee internal teams and vendors for effective service
 
 
 
 
 
 The incumbent must support, lead, manage and live by the Company Code of Conduct, Values, HSE and other Policies and Guidelines.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 
 
 Planning, budgeting, commissioning
 
 
 
 
 
 <ul>
 <li>
 Proposals with plans / budgets and Commissioning of key elements of digital ecosystem for tech databases &amp; Apps as per Technical Data &amp; Apps Platform Vision &amp; Model of FPCL.
 </li>
 <li>
 Cloud-based computing models and OSDU consistent data sets. Smooth consumption of technical databases &amp; applications generated data thru LLM and Geo-AI,
 </li>
 <li>
 Ensuring all unstructured data are put into data funnel and accessible to LLM and Apps through CIP (continual improvement process/ cycle)
 </li>
 </ul>
 
 
 
 
 
 Manage Licenses, budgets &amp; M&amp;S
 
 
 
 
 
 <ul>
 <li>
 Manage application licenses, maintenance, subscriptions, budgets, and managed services.
 </li>
 <li>
 Coordinate and oversee vendors and consultants, ensuring SLA compliance and cost optimization.
 </li>
 <li>
 Ensure continuity of services with no production downtime.
 </li>
 </ul>
 
 
 
 
 
 Projects of technical depts
 
 
 
 
 
 <ul>
 <li>
 Support for IT related infrastructure/tools/services as ITBP
 </li>
 <li>
 Based on project scope / activities, provide guidance and engage IT resources (materials, consultancy, software support) as per project timelines and budgets.
 </li>
 <li>
 Evaluate, recommend and deploy changes in Apps &amp; IT Services based on user feedbacks. Supervise the App go-live activities and user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data Management and Processes &amp; Guidelines
 
 
 
 
 
 <ul>
 <li>
 Deploy DAMA-DMBOK framework &amp; best practices guidelines while ensuring data sanitization, data standards, structured and linked master data repositories and integrated database &amp; Apps platforms.
 </li>
 <li>
 Write Processes &amp; Guideline documents in collaboration with the Subsurface Geoscience &amp; Engineering experts on ensuring various datasets governance, naming / archiving / warehousing consistency.
 </li>
 <li>
 Serve on Technical IT Steering Committee.
 </li>
 </ul>
 
 
 
 
 
 ITBP for technical functions
 
 
 
 
 
 <ul>
 <li>
 Serve as strategic interface for assess, proposing and deploying the new software &amp; data and solutions technologies and best practices. Propose and arrange relevant learning &amp; development of FPCL staff.
 </li>
 <li>
 Act as consistent point of contact between function &amp; IT. Service management, risk management and relationship management. First stop for any needs. Manage all incidents and service requests either directly or through support staff.
 </li>
 <li>
 Act as a Point of escalation for the business for unresolved application issues, whilst setting expectations of service level agreements. Work with IT vendors to assign ownership of issues.
 </li>
 </ul>
 
 
 
 
 
 Team Leadership
 
 
 
 
 
 <ul>
 <li>
 Input to the FP IT strategy, strategic actions, Apps &amp; Data platforms&rsquo; on-premise to Cloud move as company setup grows over the next 1-3 years,
 </li>
 <li>
 Coach and develop direct reports, assist in building a high-performing team, and support professional growth,
 </li>
 <li>
 Play an active role in shaping FPCL&rsquo;s culture by demonstrating the right behaviors in line with FPCL&rsquo;s values,
 </li>
 <li>
 Mentoring the staff and GTs.
 </li>
 </ul>
 
 
 
 
 
 Education, Knowledge and Experience
 
 
 
 
 
 <ul>
 <li>
 
 Qualification
 
 : BS, preferably Master&rsquo;s degree, in Computer Sciences / Telecommunications / Information systems or closely related Engineering field.
 </li>
 <li>
 
 Experience:
 
 More than 15 years as System analyst, Applications &amp; database support or IT Engineer in Upstream or similar digital environment. +5 years as team lead or independently delivering expert/ consultant.
 </li>
 <li>
 
 Applications Experience:
 
 Proficiency in ERP applications (SAP, Dynamics, IFS, Oracle EBS, etc), business processes automations &amp; re-engineering. Databases (Microsoft SQL, Embedded SQL DBS. Petro-Technical systems&rsquo; data &amp; interpretated data handling/ management experience (DSG, Petrel, Eclips, ArcGIS, MERAK, etc). Handle on integration between systems, data management and applications portfolio management. Course attendance certificates or eqv job experience evidence in place.
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Project Management:
 
 Develop and execute projects from Concept to Delivery in given budget and time-frame by deploying Lean Six Sigma.
 </li>
 <li>
 
 Information Management
 
 skills of creating value through application of technology and its impact on business improvement &amp; technical KPIs delivery. Working knowledge of Upstream business and corporate / enterprise data management, contemporary Databases, Applications and D&amp;A platforms.
 </li>
 <li>
 
 Relationship Management:
 
 Ability to develop and maintain working relationships with function users &amp; vendors. Lead and transform high-performing teams. Excellent stakeholder mgmt. skills.
 </li>
 <li>
 
 Effective communication skills
 
 with cross-functional teams and other stakeholders
 </li>
 <li>
 
 Big picture thinking
 
 and acting decisively under the state of uncertainty &amp; ambiguity. Well- developed problem-Solving skills
 </li>
 </ul>
 
 
 
 
 #FatimaGroup #FatimaPetroleum #PakistanZindabad #Exploration #AAPG #PAPG #SPE #SPEPAKISTAN
 
 
 
</div>

Manager Enterprise & Technical Applications

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