Accomplishing various project in multiple industries (Retail, Banking & Loyalty Programs):- currently Long term Business Intelligence resources servicing Search Engine company- Developing up-sell and cross-sell model , recommendation system for retail clients- Developing Churn model using R for a banking client- Report and Dashboard building with Tableau for client as end user- Acting as external insights analyst for client marketing campaigns: post- campaign analysis, investigation, KPI tracking- Assisting in building marketing & communication strategy for retail & banking clientsCurrently seconded to search engine company as business intelligence & reporting analyst .

Heavily intensive data science program with 480+ hours of practices using most up-to-date data science techniquesCapstone Project - Client Project - Retail IndustryDeveloping product cross-selling potentials using Apriori and ECLAT association rules algorithmForecasting seasonality of sales and items using ARIMA forecasting modelUsing Natural Language Processing to find the reason of item refund. Developing Tableau Dashboard for spatial customer analytics.Projects:Generated optimal model utilizing supervised learning algorithms to estimate the loan default risk, whether or not credit should be given (Naives Bayes, Random Forest, Decision Tree , Random Boosted, Model Comparison)Providing recommendation for the 14th stores of pet chain based of sales & demographic information using logistic regression.Develop a predictive model for international expansion to shortlist the nearest countries which has similar characteristics in term of economy, education & environment factors to expand to ( K-centroid , Neural Gas )Created a matched pair design model to check the lift sales of a new menu for restaurant chain using matched pair design (A-B Testing, Matched pair design)Assisting a supply chain analysis to forecast sales demand for video games sales using ETS & ARIMA method (Time Series Analysis)list of projects: https://github.com/Hernando23/Data-Science-Portfolioone that I proud of:https://github.com/Hernando23/Data-Science-Portfolio/blob/master/Alteryx%20Projects%20/P8-Final/7-combining-predictive-techniques.ipynbExperience in machine learning techniques and algorithms (Regression, KNN, SVM, Decision forests etc)Applied statistics skills and experience in Statistical modelling (Statistical testing, regression etc)

Assisting Data Engineer to explore options on AWS micro services selection for data migration.Assisting in features discovery for Metigy AI dashboard

Work on business analysis of variety projects, such as Lending Club & Dognition Pet ServicesUse tools/software such as Alteryx ,Tableau , Python & RAnalysis & Visualization: Alteryx, Power BI, SPSS, MySQL, Tableau, Advanced ExcelLibraries & package : Numpy, Pandas, Matplotlib, Seaborne, BeautifulSoup, Scikit LearnOther : Multivariate analysis, Experimental Statistics, Applied Mathematics , A-B testing. Random Forest, Boost , Decision Tree

http://karnivall.comResponsibilities Creating business expansion planning & initial research and establishment of new business line Monitoring front end engineer, back engineer & designer Market Analysis for determining new apps to create Marketing Analysis for marketing channel to promote Apps Testing Accomplishments Assisting in developing 37 apps that with total 14.000.000 downloads (2015) Generating revenue up to 50.000 usd/month from marketing channel with very minimal spending Establishing new business line: e-commerce & online Shipping & logistics Skills Used Strategy, Analysis, Consulting Monitoring Seattlecloud , Admob, FbAds, Google analytics, appanie

Skha Consulting Indonesia provides strategic management consultation services located in Jakarta. It Is a strategic management consulting firm founded by professionals with local and international experiences who aims to provide wide range of services for our clients, and crafts unique recommendations that fit their needsMy job was to assist in banking project, to enrol a new business unit of microfinance. to deploy 200 branches in Indonesia, generate marketing plan to generate new accounts and funding, mitigate risk of loan to micro business in rubber sector, and to create new revolving credit scheme as micro financial products