Marketing Analytics:• Conducted correlation analysis to identify keywords that predict future SKU sales, optimizing bidding strategies based on search volume trends.• Conducted comprehensive data analysis to optimize impressions, clicks, and conversions across various dimensions, including time of day, day of week, device type, network, gender, geography, and age group.• Leveraged data-driven insights to develop targeted marketing strategies, refine audience segmentation, and enhance ad performance, resulting in increased engagement and improved return on investment.Customer Analytics:• Analyze customer data to identify trends, preferences, and behavior patterns.• Develop segmentation strategies to target specific customer groups for marketing campaigns and promotions.• Analyzing customer survey data using NLP techniques (NER, topic modeling) to understand customer preferences and issues, thereby improving campaign design and product enhancements.Data Integration:• Utilizing Azure Data Factory (ADF) to efficiently extract, transform, and load (ETL) data from various e-commerce platforms, including Shopify, Amazon Seller Central, and Sellercloud, into our SQL database.• Streamlining data integration processes by implementing robust data pipelines in ADF, ensuring seamless and accurate data flow across multiple sources.• Enhancing data-driven decision-making capabilities by consolidating diverse data sets into a centralized SQL database, facilitating comprehensive analytics and reporting.

• Designed information architecture for operations & analytics delivery for the professional services and customer success function.• Liaising with Engineering, PMO, L&D and Customer Success to design and automate BI dashboards.• Work closely with the delivery team to define analytical objectives and generate key insights on capacity estimation, productivity, billability of resources, sprint backlog etc.• Perform impact analysis of the training provided by the L&D team, on product adoption and provide recommendation on increasing impact.• Identify and set key metrices (e.g. AHT, FTR, CSAT, Average first response time etc.) for the customer support team and use them to monitor the overall health score of the contact center. Perform RCA and recommend process improvement.• Apply agile methodology for project management including evaluation and implementation of tool stack.

Role: AI & Deep Learning InternAnalyzed the concepts of neural net and deep learning e.g DNN, Gradient Descent, Activation functions, Forward and Backward propagation. NLP techniques like TFIDF, Word2Vec, Doc2Vec and implement the concepts in client projects.Title: Customer AnalyticsClient: A Retail CompanyEnvironment: Python & MS-Power-pointBrief: Developed a market mix model to understand how different price range, brand and promotion effect the purchase probability of a particular product by customer. Customers were segmented into different categories and insights were generated on the attributes of each segment.Title: Credit risk ModelClient: US Based BankEnvironment: Python & MS-Power-pointBrief: This project included the establishment of a model, to predict default probability & find the expected loss (EL) and build a strategy, to minimize risk. We used Logistic Regression and Random Forest. Finally, Logistic was used since it was providing better results. Linear regression used for finding LGD and EAD. Business Impact: We calculated the EL for each funded amount and the total EL percent for the portfolio at 7%, which was an important information for the bank to strategize.

Understanding various Machine Learning concept e.g Data imputation, PCA, Dimensionality reduction, Decision Tree, Random Forest, K-Means, Model Testing & Validation. Implement concept to client project.Title: Customer SegmentationClient: A Telecom Company/ISPEnvironment: Python, MS Excel & MS-Power-point Brief: This project aimed at segmenting the customer and extend assistance to the sales team to target customers for up-sell and cross-sell. We had the historical data of the customers in terms of usage of products. Logistic regression, Random Forest and Quantile function used.

• Worked with 360 ͦstakeholders across Geographies, including Finance, Procurement, Marketing & Sales, in designing and implementing business process governance model and satisfaction metrics.• Analysis of PPC marketing campaign to diversify and optimize platform and increase SEO/SEM traffic. • Provided monthly, quarterly and other ad hoc performance reports with strategic recommendations using ROI analysis, detailed.• Traffic source, website and product performance analysis using website traffic data for the retail and SMB team.• Drive communications and leverage best practices across internal business units by implementing Center of Excellency Advocacy services.• Work with external partners program management, compliance, develop continuous improvement programs and define/drive business processes. Instrumental in increasing compliance from 81% to 97% that aided my stakeholder to take effective decisions.• Identified and navigated multiple alliance programs, worked with key stakeholders to manage expectations, setting KPIs and milestones, budget planning and administration. Saved 35% of Lenovo net Marketing dollars.• Responsible for alliance marketing program management covering the largest strategic alliances for Lenovo in Microsoft, Intel, AMD etc.• Served as partner advocate fortifying existing relationships, executing GTM and developing joint value propositions to drive increased revenue and co-branding opportunities.• Managed a total of $100M annual budget on alliance spends.

• Managing the end-to-end Sales cycle of software and digital media products from Cold calling across Case Migration and finally to Closure. • Managed client onboarding process ensuring that their expectation and goals are fully met. • Managing market research and establishing a wider footprint and branding. • Worked on ROI analysis and development of named accounts. • Experience spanning across various companies, specifically, NMS, e4e, Oracle, Picsean, PGi, Peepal Software