Apr 2019 – Nov 2019 · 7 mos

• Setting up data science operations to serve 1.5 Billion people!

Oct 2017 – Mar 2019 · 1 yr 5 mos

• Customer Insights, Analytic framework, Researching, Designing, Prototyping the full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• About KaleidoFin : kaleidofin is a fintech platform that propels under-banked customers towards meeting their real life goals by providing intuitive and tailored financial solutions. our name “kaleidofin” is inspired by the power of financial solutions to enable beautiful possibilities of a future life for each customer.
• Kaleidofin will leverage the full India stack, existing distribution networks, analytics, structuring and user-centred design to drive outcomes for customers, in the process, we will also help enrich the digital asset of each such customer.
• kaleidofin.com

Aug 2017 – Oct 2017 · 2 mos

• Data Science Consultant

Jul 2016 – Nov 2018 · 2 yrs 4 mos · Gurugram, Haryana, India

Jun 2015 – May 2016 · 11 mos · Mumbai Metropolitan Region

• Data Scientist
• a) Spearheaded in setting up the analytic function in Zimmber & thus creating story out of data to make data driven decisions
• b) Data Engineering: Data mining from web, social streams, documents and images using crawling & OCR tools. Also experienced with data visualisation leveraging Tableau, Excel and R.
• c) Machine Learning: Hands on experience in handling classification algorithms & sentiment analysis. Implemented the brand performance analysis from the social media data. Optimisation of Google Adwords through keyword classification & thus kept ppc costs in control
• d) Hands on: Web analytics tools (MixPanel, GA, Flurry, Apps Flyer etc), R, SQL and Excel - Experience of quantifying impact of product features for sales conversion improvement, A/B testing, attribution, campaign analysis, cohorts analysis
• e) Analysed closely with co-founders, product managers, category managers to design/define, measure and track suitable metrics for efficiency & Influence product roadmap for Zimmber website and mobile App through high quality digital analytical insights and recommendations
• Growth Hacker
• a) Responsible for driving both Mobile user acquisition & retention and worked with co-founders directly in developing growth strategies.
• b) Established processes to streamline execution of mobile/online marketing efforts - planning, executing, reporting & optmisation. Managed mobile marketing, with a strong ROI-focused approach & keeping an eye on discounts & CAC
• c) Leveraged CLTV(CustomerLifeTimeValue) concepts in segmenting the customers for marketing campaigns.
• d) Designed & Automated the process of sending event based notifications in MongoDB which showed significant growth in sales
• e) Studied user behaviour, un-install behaviour and come up with solutions to improve the same & to coordinate with Business, Product & Marketing teams to get the best experience for the customer and improve customer retention and repeat usage/booking behaviour

Mar 2015 – May 2015 · 2 mos · Greater Delhi Area

• ISR( ESG ) Classification, Machine Learning, Sentiment Analysis leveraging R libraries. Stock screening, Spark R introduction, R Studio, Shiny App

Jul 2014 – Jan 2015 · 6 mos

• Course Name: Financial Mathematics ( MAL-732 )

Jul 2010 – May 2015 · 4 yrs 10 mos

May 2013 – Jul 2013 · 2 mos · Bangalore, India

• Tested the performance of particular company based on the combined analysis of Technical analysis and Fundamental Analysis of a particular stock (derivative) using the historical data and health indicators (figures) of a company from the annual and quarterly reports.

May 2012 – Jul 2012 · 2 mos · Greater Grenoble Metropolitan Area

• Detected & Located the pixels that sound in the given video using Canonical Correlation Analysis