Jan 2021 – Nov 2022 · 1 yr 10 mos · Remote

• Joined as Analytics Lead and got onboarded to lead Product initiatives on Growth stream for GoFood
• Work involved extensive collaboration with Data, Design, Business & Engineering stakeholders
• Highlights:
• Responsible for doing root-cause analysis, designing & implementing key experiments, building reporting & dashboard related ETL processes for growth product stream
• Devised & implemented ML solution to increase Monthly Active/Transacting Users (MTUs)
• Designed & implemented an efficient ML solution to do similarity matching of Merchant names across different systems; this can be leveraged across different business problems to find overlapping merchants
• Responsible for recruiting, mentoring and guiding Analysts and Decision Scientists
• Led product initiatives pertaining to revamp of existing subscription product - GoFood+
• Owned features to improve visibility and UX for one of the key levers for customer loyalty - GoPay Coins

Feb 2018 – Jul 2019 · 1 yr 5 mos · Bengaluru Area, India

• Worked as a contractor between Feb’18 to Apr’18 before the formal registration of Lifesight India entity
• Responsible from ideation to execution to delivery of everything related to data to power Lifesight's suite of products
• Achievement(s):
• Built the solution to assess data quality for all our various input data-sources (this is extremely critical as all our downstream products utilise this data and make any analysis/ decision/ inference basis this)
• Highlights:
• Helped built data engineering and data science capabilities for location-intelligence based Ad Tech start-up
• Responsible for building, managing & mentoring small team
• Worked on building comprehensive user profile, performed numerous data analysis involving GeoSpatial data
• Applied various unsupervised techniques to assess data quality for different data-sources
• Predict demographics e.g age, gender, affluence etc. of customers based on their offline visit patterns and app behaviour data
• Tools & Technologies:
• Python, Spark(sql, mllib), AWS, ElasticSearch, Shell scripting
• Algorithm(s):
• Gaussian Mixer Models(GMM), Multi-layers Perceprons(MLP), Naive Bayes, Decision Trees, SVM etc.

Jan 2016 – Feb 2018 · 2 yrs 1 mo · Bengaluru Area, India

• Worked in an applied R&D team to cater to the product need
• Achievement(s):
• Led the end-to-end delivery of adtech solution for several of our clients
• Improved retargeting campaign metrics like CTR by 100 %, conversions by 15-20 %
• Was bestowed quarterly performance recognition awards like Bravo and Above & Beyond for dedication and excellence at work
• Highlights:
• Part of an adtech team to deliver state of the art machine learning solutions
• Successfully led the cross-geo collaboration initiative, ran POC across multiple products to check for synergy
• Got exposed to multiple solutions in the digital marketing arena e.g. website personalization, remarketing / retargeting campaigns, prospects campaigns, search ad-words bidding, RTBs etc.
• Responsible to deliver end-to-end personalization and retargeting solutions which includes many intelligent levers e.g. intent identification, product recommendation, DCO ( dynamic creative optimization ) etc.
• Tools & Technologies:
• R, Python (numpy, sklearn, pandas, tensorflow), Pig, Spark
• Algorithm(s):
• Logistic Regression, Linear Regression, Poisson Regression, Polynomial, Cubic / Natural Spline regression etc., Naive Bayes, Markov Chain, Collaborative filtering, Decision Trees, Random Forest, SVM, Neural Networks etc.

Jun 2015 – Oct 2015 · 4 mos · Bengaluru Area, India

• Worked in Data Science Group to solve real time prediction problems for Web-Chat channel
• Achievement(s):
• Developed a generic starter model to identify propensity to chat for visitors, who are interested in purchase, which generates 5% - 10% of incremental lift from the first day of deployment
• Highlights:
• Worked closely with the design team to run DOEs
• Analyzed, implemented and monitored performance of contextual invites for multiple clients
• Tools & technologies:
• R, Python, Excel
• Algorithm(s):
• Logistic Regression

Oct 2015 – Dec 2015 · 2 mos · Riyadh, KSA

• Worked in Business Strategy team (top management) of a leading food start up in KSA
• Achievement(s):
• Led the branch staff optimization project which resulted in reduction of ~ 8 million SAR (2 million USD) operational expenses for the next year
• Devised a framework for Sales booster of any branch
• Highlights:
• Prepared a price indexing tool to help analyse movement in prices of raw material and it's impact
• Worked with the team in preparing organisational budget
• Responsible to manage one direct reportee and supervise the tasks of more than 5 members directly
• Tools & technologies:
• Excel, VBA

Feb 2014 – Jun 2015 · 1 yr 4 mos · Pune Area, India

• Worked with multiple pharmaceutical clients on Sales Crediting projects, which is an integral part of Incentive Compensation for the Sales Force
• Achievement(s):
• Devised and implemented a unique strategy to optimize(from 3.5 hours to 15 mins) the runtime of one of the complex transformations using Informatica which received the highest appreciation from peers and other group members
• Multiple process optimizations using PL/SQL functions, procedures and creating SOP etc.
• Mentored small teams to get started with weekly operations
• Highlights:
• Created data-warehouse for the credited sales data
• Integrated the data-warehouse with the reporting tool such as Qlikview
• Understood & enhanced the existing integration between Oracle and Micro-strategy to support new requirements
• Tools & technologies:
• Excel, VBA, Oracle, Teradata, PL/SQL, Informatica, Shell scripting

Jun 2013 – Feb 2014 · 8 mos · Bengaluru Area, India

• Worked with leading high tech solutions provider, and helped its emerging subgroup make better decisions by reducing the operating cost and generating leads of potential customers for new product portfolio
• Achievement(s):
• Our team converted the 3 months pilot engagement to a one year full contract
• Highlights:
• Contributed end to end on a product evangelization of BI tool
• Developed a python script to fetch the list of employees of an organization from Linkedin
• Worked on predictive modelling to leverage the client's existing CRM base to target potential customers(large enterprises) for different products in the portfolio using cross-sell and up-sell methodologies
• Explored a Big Data analytics tool and helped strategy team in preparing POV analysis
• Tools & technologies:
• Excel, VBA, SQL, R, Python