Key Projects -> Sentiment analysis of Amazon reviews• Provided recommendations based on customer reviews of the client and competitors’ products on Amazon using Stanford NLP and Vader algorithms, attained accuracy above 90%Cluster analysis of cities based on demographic parameters• Implemented an ensemble of clustering algorithms such as k-means, DBSCAN, hierarchical to identify the similar regions for A/B testing for marketing initiatives• Classified identical zip codes across U.S. based on income, marital status, age, ethnicity as feature setRFM analysis for Customer Segmentation• Segmented existing customers (loyal, new, at-risk) for differentiated and personalized marketing strategies based on RFM scoresSales Force Management dashboard (Power BI)• Co-partnered in developing a user-specific dashboard to monitor the performance of 200+ sales force across 400+ locations Google and Facebook campaign tracking dashboard (Power BI)• Conceptualized and designed a dashboard for an E-commerce client to track the performance of digital marketing campaigns

• Optimised web pages of clients to increase their traffic over by 20% using over 80 personalized parameters• Generated backlinks for clients in various industries such as Healthcare, Education and Marketing• Reduced the time to prepare monthly reports by introducing automation using Microsoft Excel • Formulated a two-way training system aimed at better workload distribution and overall individual growth

• Reduced food wastage by 23% which resulted into savings of worth INR 75k• Modernized mess inventory by reshuffling mess budget amounting to INR 3 lakhs• Revamped infrastructure of mess and negotiated deals worth over INR 2 lakhs with major food chains

• Contributed in developed pricing chart for product development and determined threshold market price• Created partner network in 6 cities across India to optimize the operations • Categorized customer feedback into actionable items, customized product specifications accordingly

• Drafted Private Placement Memorandum covering Healthcare, Finance, Education Technology, Marketing and Advertisement• Analyzed seed stage fund-raising among various startups

• Designed distribution process for refreshments in 410 events at 13 venues scheduled over 8 days• Strategized effective utilization of allotted refreshment budget resulting in saving of INR 2 lakhs• Formulated and executed tendering process for mess facility to be provided for 2700 participants