Ashutosh Singh
Data Analytics
Bangalore
Summary
With over 10+ years of experience in Product and Data Analytics, I have worked with several startups in the eCommerce, Travel aggregation, Social media, and Fintech sectors. My expertise spans a range of tools and techniques, including SQL, Python, and data visualization, which I use to translate business problems into data-driven solutions, conduct root cause analysis, and derive insights from data. I bring significant leadership experience across diverse industries, excelling in data mining and analysis. Additionally, I have a proven track record of automating processes and driving operational improvements.
Overview
10
10
years of professional experience
Work History
AVP - Data Scientist
JP Morgan Chase & Co
Bangalore
01.2022 - Current
- I joined Chase UK shortly after its launch as a Data Scientist within the core Business Analytics team. In this role:
- Successfully established the data architecture for current and savings accounts and currently collaborating with the engineering team on the credit card vertical.
- Led strategic data initiatives for the launch of a new savings product at the bank, aiming to capture over £30 billion. This included meticulously sizing the target audience, pinpointing cannibalization risks on existing balances, and implementing real-time reporting through Looker.
- Additionally, contributed significantly to the business's understanding of competitor interest rate changes' impact on our customer base. Identified a critical cohort of over 16K highly sensitive customers responsible for more than 85% of total transaction volumes, enabling targeted retention strategies.
- Build and execute comprehensive data insights and analytics strategies to uncover trends and inform decision-making across business domains.
Product Analyst
Dialpad
Bangalore
07.2019 - 09.2021
- Collaborate with the product team to uncover crucial business inquiries and utilize analytical insights to identify growth opportunities.
- Partner closely with engineers, product managers, and product marketers to extract actionable insights from data, guiding strategic and product decisions.
- Develop a web analytics taxonomy to categorize and analyze user activities effectively.
Product Analyst
Hike Messenger
Delhi
02.2018 - 07.2019
- Contributed as a key member of the product team at Hike, collaborating with product managers, engineers, designers, and researchers to lead comprehensive product analytics for content services and social features for DAU of 600k Customer and 28 min avg time spend
- Managed A/B testing and conducted multiple experiments aimed at enhancing app engagement and increasing active users.
- Analyzed user behavior across various cohorts, developed funnels, and defined actionable metrics to drive informed decision-making.
- Created visually compelling dashboards using Tableau for comprehensive data reporting and visualization purposes.
Data Analyst
Goibibo
Bangalore
01.2016 - 01.2018
- Member of the tech team at InGoibibo, responsible for managing the hotel inventory engine for Goibibo. Post-merger with MakeMyTrip.com, InGoibibo supports hotel operations for both platforms.
- Managed comprehensive reporting for hotel supply-side operations.
- Created management overview dashboards using SAS and Tableau.
- Implemented intelligent discounting strategies to optimize finances and maximize property promotion effectiveness.
- Conducted ad-hoc data gathering and analysis for upcoming projects and initiatives.
- Prepared specialized reports for business needs such as audits and taxation.
Data Analyst
Paytm
Noida
03.2015 - 12.2015
- Contributed to Paytm, India's leading mobile commerce platform and online wallet operator.
- Played a key role in the payments analytics team, extracting insights to drive business development and growth.
- Analyzed behavioral trends from a dataset of 120 million customers.
- Customized strategies based on customer search and transaction history across different verticals.
- Developed automated reports for end-users and management.
- Collaborated with the data warehouse team to create diverse BI dashboards for comprehensive business tracking.
Database Developer
Reppify
Gurgaon
06.2014 - 03.2015
- Reppify was a startup specializing in leveraging referrer professional networks to uncover new sales opportunities. Currently supporting IBM in talent search initiatives.
- Managed database maintenance and developed SQL queries, triggers, and procedures.
- Developed the data architecture for employee referral programs.
Education
Certificate - Data Science & Big Data Analytics
Massachusetts Institute Of Technology
Cambridge, Massachusetts03.2020
Certification - Business Forecasting Using R
Indian Statistical Institute
Bangalore, India10.2017
Bachelor of Technology - Electronic And Communications
Uttar Pradesh Technical University, India
06.2012
Skills
- SQL, Python, BigQuery, Redshift, MySQL, Oracle
- Web Analytics - Google Analytics, Amplitude, Firebase
- Data Visualization - Tableau, Domo, Looker
- Defining KPIs for Alerts and Monitoring
- Data Architecture - Data Modeling, Data Warehousing
- Insight - Data to drive product decisions, storytelling, A/B Testing
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
AVP - Data Scientist
JP Morgan Chase & Co
01.2022 - Current
Product Analyst
Dialpad
07.2019 - 09.2021
Product Analyst
Hike Messenger
02.2018 - 07.2019
Data Analyst
Goibibo
01.2016 - 01.2018
Data Analyst
Paytm
03.2015 - 12.2015
Database Developer
Reppify
06.2014 - 03.2015
Certificate - Data Science & Big Data Analytics
Massachusetts Institute Of Technology
Certification - Business Forecasting Using R
Indian Statistical Institute
Bachelor of Technology - Electronic And Communications
Uttar Pradesh Technical University, India
Accomplishments
- Awarded with Innovation Impact Award across 20K+ JPMC Corporate India employees for the year 2023.
- Recognized as ‘Team Star’ in team of 20+ for excelling the work designated in Paytm.
Work Preference
Work Type
Full TimePart TimeWork Location
On-SiteRemoteHybridImportant To Me
Work-life balanceCompany CultureLanguages
English
Native language
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