Mississauga, Ontario, Canada
Analytics professional with over 8 years of experience interpreting and analyzing data in order to drive a successful business solution. Proficient knowledge in marketing effectiveness, product analytics and customer & loyalty analytics. Excellent understanding of business operations, predictive modelling and tools for effective analysis of data
• Product owner for Omni business reports & Finance reports
• Improving omni channel experience for Online Grocery customers with data. • Working with internal stakeholders to understand their requirements and providing actionable insights to improve current operations • Developing business questions into data analysis and provide actionable recommendation to drive new strategy, pilot launches and improving customer experience • Streamlining and automating various business reporting to ensure timely delivery of reports and providing actionable insights to the team
• Applied Hive, Unix, Oracle DB, Adobe Analytics, R and Tableau to map business goals into optimal marketing programs through the incorporation of digital analytics, visualizations & attribution modelling • 30% increase in efficiency and accuracy of deliverables using Agile methodologies for business processes • Analyze the effectiveness of marketing campaigns for paid, search & email using Adobe Analytics • Analyzed patterns in earning and redeeming of loyalty points to develop strategies to improve the cross-product redemption, cross-channel redemption and lower the expiration rate • Built economic models to forecast the performance for next quarters and determined the target of new product developments. • Segmented email customers and increase click-through rate (CTR) using tailor-made marketing contents • Forecasted financial impact of strategic decisions using linear regression, Monte Carlo simulation and time series models • Built customer lifetime value model (LTV) and help the business develop propositions for cross-selling & up-selling strategies and personalized experience for a targeted audience
• Built and executed complex queries to extract big data sets using Hive and Oracle database • 50% reduction in turnaround time of analyzing various retail products and its benchmarks by automating measurement process • 25% decline in processing time in R using clustering of variables for existing predictive models • Developed methodologies and automated the process to measure various KPIs for ongoing A/B Tests, state their statistical significance and estimate their financial impacts • Developed a model to quantify the influence of online browsing to store purchase and help optimize the investment to marketing channels • Predicted future product that customer will shop next using logistic regression and random forest in R • Analyzed historical promotions and developed tailor made loyalty promotions for various segments • Analyzed low-performing stores and prescribed changes in product assortment and promotional deals • Developed association rules to increase cross-sell and up-sell opportunities for e-commerce websites
• Analyzed, cleansed, normalized and forecasted missing data to calculate railway track quality index (TQI) using R • Predicted the geo-defects (sudden changes in track geometry measurements) using logistic regression and random forest • Developed a discrete-time Markov Decision Process model to demonstrate current maintenance policy and optimized it using value iteration technique • 10% drop in expected cost was forecasted between optimal policy and current policy using Markov Chain Monte Carlo simulation
• Modeled and calculated the force distribution and analyzed the wear distribution along the swinging jaw plate • Optimized the width and location of the toggle plate to reduce the Von Misses stress and deformation • Optimized the mass of swinging jaw plate using stiffeners and analyzing the strength to weight ratio in CATIA