Experience

Parcil Safety

• United States
• Defense and Space Manufacturing
• 1 - 100 Employee

• Lead Consultant - Data Science

  • Jun 2023 - Present

  United States



Whatfix

• United States
• Software Development
• 700 & Above Employee

• Manager - Strategy & Analytics

  • Jan 2021 - Dec 2022

  Bangalore Urban, Karnataka, India • 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… Show more • 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. Show less



Hotify Inc.

• India
• Software Development
• 1 - 100 Employee

• AI and Deep Learning Intern

  • Apr 2018 - Oct 2018

  Role: AI & Deep Learning Intern Analyzed 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 Analytics Client: A Retail Company Environment: Python & MS-Power-point Brief: Developed a market mix model to understand how different price range, brand and promotion effect the purchase probability of… Show more Role: AI & Deep Learning Intern Analyzed 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 Analytics Client: A Retail Company Environment: Python & MS-Power-point Brief: 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 Model Client: US Based Bank Environment: Python & MS-Power-point Brief: 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. Show less



Day1 Technologies

• Machine Learning Intern

  • Nov 2017 - Feb 2018

  Bangalore 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 Segmentation Client: A Telecom Company/ISP Environment: 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… Show more 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 Segmentation Client: A Telecom Company/ISP Environment: 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. Show less



Lenovo

• China
• IT Services and IT Consulting
• 700 & Above Employee

• Program Manager - Marketing Operations

  • Sep 2014 - Jul 2017

  Bengaluru Area, India • 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… Show more • 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. Show less



Multiple Companies

• 100 - 200 Employee

• Sales,PreSales, Account Management

  • Feb 2005 - Aug 2014

  Bangalore • 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