Nov 2023 – Aug 2024 · 9 mos · Bengaluru, Karnataka, India · Hybrid

Feb 2021 – Nov 2023 · 2 yrs 9 mos · Bangalore Urban, Karnataka, India

Sep 2019 – Jan 2021 · 1 yr 4 mos · Bengaluru, Karnataka, India

Apr 2017 – Sep 2019 · 2 yrs 5 mos · Bengaluru Area, India

Jan 2016 – Mar 2017 · 1 yr 2 mos · New Delhi Area, India

• (Stargate Internet founded by IIT Kanpur / Escp Europe Alumni)
• Creating end to end solution for ecommerce platform, developing blueprint for technical path catering to company's strategy.
• Understanding client requirements, case studies for front-end flow catering to customer needs
• Deciding tech infrastructure: database architect, backend platforms / server setups (AWS, load balancing), SSL encryption, online marketing strategy (SEO, CRM), basic reporting structure (BI).
• Ensuring website smooth run in times of high traffic campaigns is one of the crucial jobs.
• Currently managing a team of UI / backend experts engaged in developing ecommerce products

May 2014 – May 2016 · 2 yrs · Paris Area, France

• Since 2012, AIG has created 71 companies in 8 different verticals: online retail, food ordering platform, online marketplace, real estate marketplace, vehicle marketplace, taxi hailing, online travel agency and P2P lending marketplace.
• My role was to provide Tech framework to marketing strategies.
• Designing / Developing, CRM (email marketing) solutions
• Developing granular Reporting system covering newsletter performance analysis, customer interaction report, product performance etc. (PHP, Mysql, Python, R based Tools)
• Designing in house tools for CRM executives - (PHP, Java)
• Advanced mailing systems:
• Customer cart abandonment mails, Wish list mails, Welcome mails etc.
• Customer segmentation strategies : RFM analysis, CLC analysis, Reactivation FRM analysis sending out relevant offers and activation mails
• Infrastructure Migration and Further development process
• Completed Migration of mainframe CRM systems (Experian) to Salesforce tools (Exact Target)
• Handled Salesforce tool setup and further development of tool :
• Designing database model and syncing inhouse data warehouse - sales force database
• Developing transactional mail (connecting triggers from CMS to the salesforce tool via API), Newsletters - implementing CRM strategies (open /click customer engagement, RFM, CLC, cart abandonment etc),
• Daily automated reports generation
• Creating complete framework to capture complete customer journey / responses from opening newsletter to purchase of products in the salesforce tool (pixel tracking)
• Recommendation Tools
• In house tech to develop recommendation tool for providing product recommendation to customer over emails
• Evaluation and Setting up third party tool, Rich relevance for enhanced recommendation
• BI Setup
• Server migration from old severs to AWS with load balancing setup to minimize cost.
• Setup for creating basic infrastructure for BI tools (R - server)

Oct 2012 – May 2013 · 7 mos · Bangalore

• Worked with Product team on developing analyst platform which includes techniques used by
• analyst to solve a problem using data. The tool is a desktop application which has functionalities
• like Dataset Manipulation, Variable Transformation, Univariate Analysis, Bivariate Analysis,
• Visualizations, Time Series Modeling, Regression Analysis, Text Mining etc. The statistical engine
• was built up on SAS and R.
• Product Development
• Currently working with product development team, designing statistical software to help analysts .
• Worked on algorithms to implement various mathematical model with SAS and R
• Designed interface to make it user friendly and interactive, making analysis fast, informative
• Implemented Code Security in SAS
• Text Mining
• Analyzed users feedback comments on customer support forum through R
• Performed Data cleansing like removing stem words, removing URL, phone numbers etc.
• Elementary data analyses to find frequency for occurrence of each word in text.
• Relationship analyses to find out relative occurrence or association of words with each other.
• Text categorization to categorize text based on user sentiments -
• Modelling by sampling and assigning sentiments to some 50 comments
• SVM random forest maximum entropy algorithm were used
• Microsoft BingAds Customer Initiatives
• Studied working of BingAds online advertisement business
• Researched and validated metrics that directly impacts revenue generation
• Designed model that predicts variation in revenue with fluctuation in metrics
• Analyzed customer base and rolled out plans depending on their performance at each metric level