Prashant Kumar

Seasoned analytics & data science professional with 7 years track record of providing exceptional services in client facing role for analytics projects. Highly-skilled in customer analytics, root cause analysis, data crunching, predictive & descriptive modelling and developing insights for business leaders. Strong self-motivator with an exceptional work ethic.

• Business Expansion Model for Product Launch | Lead Consultant : FnB clients wanted to understand the opportunity areas for product launch. Developed resusable business working model to understand the opportunity areas for product launch and campaign planning for the same.
• Standardizing reports and Data integration | Assistant Manager :
  At Netscribes, Primary focus was to establish dependability of client on deliverables. Started with migrating excel reports to Power BI and standardizing the simplified data base to use for day to day engagement and providing quality inputs for client's business operation.
• Prioritization Business Model | Associate : Club Mahindra member's experience team wanted to prioritize member's booking basis member's behavior to minimize the refusal and last minute cancellation. Built statistical model to analyze customer behavior and set rules to prioritize booking preference and dynamic booking window recommendation.
• Product Assortment Model | Associate Model which finds out the different personas present in the customer base. useful for marketing, buying and merchandising and product teams. Used K-means clustering for segmentation.
• Buy Plan | Senior Analyst : This is recurring activity carried out by buying and merchandising team of apparel brand, which happens twice a year and requires data backed recommendations for better strategy for new season launch. Used size set optimizer , segmentation to make better understanding in charting out buy
  plan. Used descriptive and predictive analytics.
• Business Process Calender | Senior Analyst : BPC is a debrief for brand COO for better understanding about the brand position and how brand should move by analyzing feedbacks, sales, inventory and customer data. Used descriptive analytics.
• Market Basket Analysis | Senior Analyst : Built a re-usable model to find the association between products to uplift the auxiliary product sales by infusing idea of bundling of best products which are most likely to being bought in a bucket. Used apriori algorithm.
• Churn Model | Analyst : Built a statistical model by using logistic regression to predict the probability of customers who are going to churn out from CRM program. Used R, SQL and Excel to carry out whole modelling process and was able to restrict the churn by providing customers for campaigns.
• Store Clustering | Analyst : Built a reusable docket for team and client for store clustering, this model could solve problems related to store or finding out opportunities for particular catchment, modelling was done on R studio , used K-means clustering .

• Business Expansion Model for Product Launch | Lead Consultant : Tacobell India wanted to understand the opportunity areas for product launch. Developed re-usable business working model to understand the opportunity areas for product launch and campaign planning for the same.
• Standardizing reports and Data integration | Assistant Manager : At Netscribes, Primary focus was to establish dependability of client on deliverables. Started with migrating excel reports to Power BI and standardizing the simplified data base to use for day to day engagement and providing quality inputs for client's business operation.
• Prioritization Business Model | Associate : Club Mahindra member's experience team wanted to prioritize member's booking basis member's behavior to minimize the refusal and last minute cancellation. Built statistical model to analyze customer behavior and set rules to prioritize booking preference and dynamic booking window recommendation.
• Product Assortment Model | Associate: Model which finds out the different personas present in the customer base. useful for marketing, buying and merchandising and product teams. Used K-means clustering for segmentation.
• Buy Plan | Senior Analyst : This is recurring activity carried out by buying and merchandising team of apparel brand, which happens twice a year and requires data backed recommendations for better strategy for new season launch. Used size set optimizer , segmentation to make better understanding in charting out buy
  plan. Used descriptive and predictive analytics.
• Business Process Calender | Senior Analyst : BPC is a debrief for brand COO for better understanding about the brand position and how brand should move by analyzing feedbacks, sales, inventory and customer data. Used descriptive analytics.
• Market Basket Analysis | Senior Analyst : Built a re-usable model to find the association between products to uplift the auxiliary product sales by infusing idea of bundling of best products which are most likely to being bought in a bucket. Used apriori algorithm.
• Churn Model | Analyst : Built a statistical model by using logistic regression to predict the probability of customers who are going to churn out from loyalty program. Used R, SQL and Excel to carry out whole modelling process and was able to restrict the churn by providing customers for campaigns.
• Store Clustering | Analyst : Built a re-usable docket for team and client for store clustering, this model could solve problems related to store or finding out opportunities for particular catchment, modelling was done on R studio, used K-means clustering .