<p>Completed a 14-month technology internship programme with exposure to data analytics, business intelligence, RPA, business analysis, cloud computing, and project management.</p><p> The Tech Mahindra appraisal report records assessments of Very Good for project management and Good for business analysis, cloud computing, RPA, and workplace communication.</p><p> Worked with data-analysis concepts and tools including Python, Pandas, NumPy, SciPy, scikit-learn, SQL, and Excel.</p><p> Training covered cleaning and preparing data, handling missing values, formatting and normalising data, binning, working with DataFrames, producing summaries, exploring distributions and correlations, and building data pipelines.</p><p> Developed skills in preparing and modelling data, creating visualisations and reports, using DAX for model calculations, creating time-intelligence measures, and applying basic statistical functions.</p><p> The existing CV also records experience building interactive dashboards for KPI reporting and self-service analysis.</p><p> Practised writing queries to select subsets of data, filtering, sorting, summarising and manipulating data, using functions to format fields, and integrating data from different sources.</p><p> Gained exposure to the RPA development lifecycle, process identification, bot configuration and coding.</p><p> UiPath topics included Studio, variables and arguments, control flow, debugging, exception handling, and UI, Excel, email and PDF automation.</p><p> Automation Anywhere 360 topics included actions and recorders, Discovery Bot for identifying automation opportunities, and reusable bot logic.</p><p> Analysed business scenarios, considered scope and boundaries, interpreted business environments and constraints, identified problems and opportunities, explored possible solutions, and developed business cases including cost-benefit considerations.</p><p> Completed assessed learning in AWS and Azure.</p><p> Topics included cloud value and concepts, the shared responsibility model, security best practices, cloud costs and billing, common compute, networking, database and storage services, and Azure architecture, management and governance.</p><p> Applied project-management principles, work breakdown structure (WBS) methodology and Microsoft Project concepts to planning and organising work, including project tasks, schedules, milestones and dependencies.</p><p> Participated in learning and group tasks requiring clear workplace communication, feedback, initiative, accountability, quality awareness and collaboration.</p>
