Oct 2020 – Jan 2022 · 1 yr 3 mos

• Helped Alexa AI (Knowledge Domain) for ANZ region get smarter using NLP & ASR techniques
• Helped reach the answer quality goal (+400bps which was achieved during Q4 2020 vs. +500bps YoY)
• Helped boost the ANZ engagement metrics through various analytical experiments and A/B testing to reach wider customer base
• Owner of APAC Weekly Business Review (WBR) metrics and insight generation for Alexa AI Knowledge Domain

Mar 2020 – Sep 2020 · 6 mos

• Helped prioritize & audit ~5K high leverage global pricing configurations
• Enabled the detection & correction of pricing anomalies that impacted ~10% of WW Retail GVs
• Automated the Synonyms Generation with the help of NLP techniques that helped in 10X reduction of manual efforts
• Independently program managed & successfully launched the Retail Pricing component for UAE, Singapore, Netherlands and KSA with 0 pricing defects.

Feb 2017 – Feb 2020 · 3 yrs

• As a Pricing SME for the Pricing Analytics team,
• Built the Sampling Logic Model (total number of manual auditsto catch pricing errors) & Mapping RF model for HC reduction.
• Worked with Tech team to build Distributed Sample Gen [DSM] tool to reduce 30% of manual efforts during configurations.
• Mentored and trained associates on problem solving using ML
• Problem solving, Analytical Design thinking & Hypotheses creation
• Improved existing model efficiency
• Built frameworks/solutions using Machine Learning Algorithms (Random Forest, Vowpal Wabbit) and NLP/NLU techniques
• Improved the existing Productivity Measurement Systems
• Deployed automated solutions for HC reduction through various ML techniques

Nov 2015 – Feb 2017 · 1 yr 3 mos · Bengaluru Area, India

• Helped setup the Analytics CoE from scratch, built analytical solutions for clients across verticals
• Built solutions & frameworks in Predictive Analytics, Social Media Analytics, Text Mining, Big Data Analytics & IoT using Advanced Analytics using Open-source tools & technologies, Cloud based platforms using Machine Learning Algorithms
• Scoped out fuzzy business problems in depth, apply consulting best practices to deliver analytical solutions
• Focused on ramping up the team from both structured & unstructured data analysis point of view
• Lead the BA Lab and Strategy initiative

Dec 2013 – Nov 2015 · 1 yr 11 mos · Bangalore · On-site

• Solved business problems using advanced statistical modeling techniques like ARIMA (Forecasting), Market Mix Modeling (MMM), Maximum Entropy, Clustering, etc.
• Worked on multiple analytical initiatives & client deliverables in the field of structured data analysis as well as unstructured data analysis
• Presented the project deliverables and demonstrations to various Fortune 100 clients
• Mentored & guided the team members in various analytical projects
• Showcased the wider eco-system of the organization & conducted training sessions for new joinees

Oct 2012 – Dec 2013 · 1 yr 2 mos · Bangalore · On-site

• Solved business problems using advanced statistical models like Linear Regression, Logistic Regression, SVM, GLMNet, LDA, K-Means, etc.
• Extensive Competitor Analysis in the field of Analytics (Structured) and Text-mining (Unstructured)
• Demonstrated Mu Sigma's Analytical Products to the C-level clients from various Fortune 100 companies & provide internal training on products
• Generated insights by driving Ad-Hoc analyses and ensuring accurate and well-timed results
• Was Mu Sigma's Campus Ambassador for 2011-12 and was also responsible for campus branding at RV College of Engineering
• Part of the Mu Sigma Hiring team during 2013 & 2014

Jun 2011 – Aug 2011 · 2 mos · Indiranagar, Bangalore · On-site

• Internship at Daily Dump through NSEF under the leadership of Poonam Bir Kasturi
• Data consolidation & Analysis to generate business insights
• Strategic Planning and Brand strategy development