Summary - experiences and skills Flashcards
History degree
Dissertation
Time used multiple sources - how and what were challenges
Time when had to work to a tight deadline
Reaching big goal example
Time when were not satisfied
2nd year diss - worked to deadline, waited on resources - learn for the next year
Tutoring
Working environment more challenging/flexible approach:
w/o warning - new pupils joining - alter lesson plan - took as learning opp for pupils - this pupil enjoyed lesson and joined class
Adaptable/communication
Struggling pupil - carefully select questions he could answer to build confidence - helped overall engagement
Communicate unpopular decision - taking A-level early
Considered pupils response - identified their potential panic - formed revision guide w/ checklist of topics and questions - to appear manageable
Masters
Teamwork examples
Working w/ difficult colleague - comms difficult over zoom - built personal relationships to work effectively → comp. report for Mishcon / presentation
Successful in identifying business ops - not allotted role but took it on to imprive
Time when went above and beyond
Struggling to understand assignment - thought to really understand should model it using data viz - recognised errors in understanding and approach - commended + 100%
Leadership
Leadership - all of us balancing deadlines - v. non-specific brief, initially, not making much progress - i defined and summarised project - much easier to delegate tasks into manageable process - worked much more efficiently - enabled proofreading etc.
Balancing workload
Useful to build framework of each deadline - tasks and meetings to be attended - then breaking down each project into manageable chunks to ensure to complete whole project
Specifically end of term - numerous deadlines - useful to share some workload w/ team - e.g. bit of data viz did not look quite right, another student helped - saved time - i proofread
Time when ideas opposed
Discussion, team member convinced me around to her way of thinking - recognised limitation in my own approach - produced much better idea
Mishcon/group assignment - summary of project and skills gained
Collab w/ peers - produced independently researched 4,000 word piece of data analysis
Examined impact of COVID-19 pandemic on legal sector across environmental, social and financial factors - informed their policy
Policy examples - shift from in-person to remote working more long-term - e.g. w/ clients - decrease in paper bundles printed
Key takeaways
- Tech - data analysis to improve process, data transformation + challenges
- Importance of technology - assimilation and analysis of data to reveal trends and changes + value it offers to providing unique and innovative service to clients
- Client facing
Offered opportunity to engage with stakeholders - help identify and define a problem - analyse and assimilate data - checking in throughout to ensure we are meeting requirements
Skills gained
Proactive improving a process - manually transferring and importing data - useful to improve efficiency
Reaching big goal example
Time when had to make good impression - set up for research diss - was selected of my group to do data analysis
Hospitality
Creativity
Marketing strategy - tech change
Difficult customers
Complaint - recognised value in understanding their perspective - offered free meal and token for reduced next meal and drink - returned and became regular
Successful in identifying business ops - not allotted role but took it on to improve
Most satisfying experience
Positive team
Worked collab - communication w/ senior management and each other
Tough boss
Required impeccable customer service - at first frustrating - but had 2 key ebenfits - recognised value in good customer service - e.g. nice reviews, regulars that asked + when things did go wrong, e.g. slow service, they were much more responsive
GP - summary and skills
utilised an existing system to harness benefits for practice - long-term, coded and creating system of coding diagnoses
- transferable to data consulting: data is out there but under-utilised
describe any projects/tasks undertaken by your efforts
Successful in identifying business ops - not allotted role but took it on to imprive
Most satisfying experience
Proactive improving a process
Saw problem and fixed it
Communication - 6 key examples
Project plan Public speaking Persuasion Writing Compromise
Teamwork - 5 key examples
Project Sports Common Goal Leading Adaptation
Why you?
Range of skills strengthened on business analytics MSc
Technical skills - coding - data analysis - able to gain unique insights for both NRF and clients + utilise tech to automate mundane tasks, efficiently provide service to colleagues and clients
Supported by increase in commercial awareness across broad range of modules, - e.g. operations, business strategy, risk analysis - simultaneously applying
Drawing on real world examples across industries, leaves me well-placed to serve NRF’s large and varied clients across all industries
History degree
Strengthened effective verbal and written communication - well-suited to client-facing and collaborative working environment
+ ability to analyse and assimilate vast amounts of information and understand broader trends and mechanisms that affect orgs and industries, aiding the quantitative analysis of business problems
identify key risks and opportunities for clients, including emerging technologies, predict trends and define objectives, e.g. increasing commercial value
Interpersonal
+ tutoring - organised and planning
Makes me well suited to the client-facing and collaborative nature of the role
Examples of working w/ data and challenges
Summary: used data to provide actionable insights, drive improvements in business and formulate business strategies
e.g. Mishcon, log reg, predictive model
- Understand and define business objective
Failing to do visualisations
towards the end of the project I wanted to visualise work that had been done - logistic regression vs. other models - wanted to see comparison of how implementing ML algorithms improved customer retention - without doing a model, looking at a spreadsheet of numbers meant vl. little
Learnt that part of iterative process to visualise data, check understanding and assumptions and gain insight into patterns that were not apparent
Waiting on specific dataset - inaccessible and poor quality data
Group project - found alternative source - too late on - worked overtime - motivated to produce comprehensive report
Failing to understand context of the data - data analyst require both coding specific and subject specific knowledge - insights are not valuable unless you understand their implications
Coding project to predict sales for Walmart in US and produce recommendations on marketing strategy - some stores had hugely more sales - I wanted to corroborate our findings, with some research found that may be due to being a store in city centre - changed suggegstiojs for marketing strategy
Process of working w/ data
Understand and define business problem trying to solve
e.g. understand and provide recommednation on customer retention rates
Identify and collect data
e.g. used AWS dataset
Prep and transform data - doing data viz throughout to test and corroborate understanding
e.g. missing values, unbalaanced and non-standardised/normalised data, transform into numerical form
Gain insights - from implementing ML algorithms for predictive analytics or to produce comprehensive reports
e.g. implement
Summarise and synthesise findings
What will the role at NRF/Capco involve?
Range of tasks - central will be assimilation and analysis of data - preparing data for tasks - inc. evaluating the performance of website and mobile apps,
Working collaboratively w/ clients to use data to help solve complex business problems in data driven and innovative way
+ working in-house to develop strategies and ideas to raise the company’s profile internationally
