Analyst

Hong (Hannah) Qian

Boston, www.linkedin.MA, ***** com/ in/(857) hong-– 930 qian-– 713******-**** **************@*****.*** EDUCATION

Northeastern Master of Professional University, Studies Boston, in Data MA Analytics – Analytics and Evidence-based Models GPA: Jan. 3.87 2019 – Mar. 2020 Xi’an University of Posts and Telecommunications, Xi’an, China Sep. 2009 – Jul. 2013 Bachelor TECHNICAL of Management SKILLS in Business Administration, Marketing GPA: 3.46 Languages: Programs: Microsoft Python, SQL, Office R, (Mandarin Word, Excel, (Native)PowerPoint,, English Etc.(Working ), Tableau/Level Power Proficiency) BI, SAP, ERP, Hadoop, Spark, MRP, DRP Concepts: Database Management, Data Processing, Data Analytics, and Machine Learning method for using Python PROJECTS @ Northeastern University

Analysis • Leveraged algorithms on Student several to identify Performance machine the impact learning of different methods variables such as Logistic and to predict Regression, future Random success/Forest, failure Nov. and rates 2019 Neural for – Mar. students Network 2020 Analysis • • • Utilized Tableau, Discovered to Dealt conversion cost on with of Demographic machine to advertisements) concepts provide rates that only as learning they solutions such about Targeting relate as techniques 20% cost for to for of per smarter advertisements, the Viacom impressions, such advertisement marketing as Lasso valuable and regression based pages high-on advertisement value were audience and advertisement valuable K-means preferences pages, (high clustering, audience pages ratio and of via interests. audience Aug. behavior Python 2019 engagement and – and Sep. 2019 Risk • • Leveraged research Established Management the industry a potential flexible in Product fusion effective risks Acquisition analysis in production risk management scenario acquisition analysis model (at integrating to H&implement M’s second-CRISP-new hand DM solutions model)clothing, and unit SWOT May 2019 analysis – Jun. to 2019 Analytics-• • Leveraged in Used the CRISP-based market data DM solutions mining modeling for to H&generate as well M’s production as an data agile mining and prediction quality to analyze prediction business information model from to improve a modeling H&M’s Feb. perspective competitiveness 2019 – Mar. 2019 Leveraging EXPERIENCE • • Explored improving Observed Data data KPIs Lenovo’s Analytics analytics and company Smartphone to methods Promote work to business Lenovo’s plan, generate leveraged transition Smartphones decision CRISP-from making DM computer model variables as business well to provide as Hadoop new for solution Jan. data 2019 management pathways – Feb. 2019 to Hennes Store • • Set Competition Accountable store Manager up & operations Mauritz of a new for by Co.H&improving sales by Ltd. M leveraging store performance, Shanghai, the in Northwest store KPIs China growth plans sales China by and 120% and profitability, led team members customer resulting satisfaction, in winning merchandising Mar. the 2016 Asian standards, – Sales Mar. 2018

• • • Mentored customer Managed development, Developed reporting, inventory, relations, Department meeting and employee managed facilitation, and sales, Managers operations assessments store audits events, communications, and to solve HR and project functions, any terminations issues planning, problems including within risk assessment the analysis, payroll, store, scheduling, resource and & resolution, coached/management, hiring, counseled marketing training process associates, & & store & status

• • development Organized visually Prepared stimulating monthly seasonal closing floor environment sets entries by proactively for through customers data planning analysis and of budgeting, Balance Sheet as well and as, P&creating L account an activity inspiring and Charles Store • • • Fostered employees Consistently visual Analyzed plans Manager & to Keith merchandising, ensure environment the worked Shanghai, ability efficiency and towards goods of China personality professional of work in surpassing and which out of growth the management, rose monthly store the through staff conversion sales through and continual goals KPI rate by assessments the providing training by DICS 15% model and compared the performance and appropriate provided to the Sep. same measuring staff appropriate 2015 training, period – Mar. of of shift 12 store 2016 the

• prior Performed goals year and objectives store maintenance, scheduling, sales and goals tracking to enhance metrics and achieve annual Uniqlo Fast Retailing Co.Ltd, Shanghai, China Apr. 2014 – Aug. 2015 Assistant HONORS • • • • • Promoted Recruited, Ensured morale Established location Reduced Manager/& proper employee’s from hired, AWARDS sales Store Management execution trained, goals, turnover Manager managed and of company Trainee retained rate budgets from to staff operations, Store 16.and 7% of 10-Manager directed to 15 0% functions employees while loss within prevention reducing and 1 year programs among the initiatives overtime while the same maintaining for from multi-batch 20% million (3/to positive 10) 12% retail staff

• • • • Scholarship Merit 1st The Prize achievement students award granted award in certification the by of Entrepreneurship Xi’an Xi’an University University of Asian sales of Competition of Posts Posts competition & & Telecommunications Telecommunication of College in H&M students (2017) for in three the Shaanxi consecutive Province, years China