Saaransh Jakhar

• Authored whitepaper for world's first crowdsourced inflation tracker through research in domains such as blockchain, data analytics, data engineering and tokenomics (ranked third worldwide)
• Led implementation of firm wide external order book API integration project, integrating 21 data sources, storing and analysing their data
• Planned and supervised data engineering pipelines for VRF projects, leading to 70% increase in user requests
• Closely worked with CEO to help close out $24 million in funding over span of 2 years, and evaluating data assets for purchase
• Conducted simulations for technical parameter tuning, leading to more efficient algorithms, and better pricing strategy, undercutting competitors by 18%

Honestbee (B2C/B2B Grocery Delivery App)

• Developed code in Python/SQL and created Looker dashboards to aid product, financial and marketing analytics
• Interfaced with multiple stakeholders, acting as internal data consultant to suggest short to long term data analytics solutions
• Managed projects using Trello and Github to efficiently track task completions and reduce lead times
• Introduced unstructured data processing framework, enhancing native Amazon Redshift performance across data science

Funding Societies (P2P SME Digital Financing App)

• Designed fraud detection data workflow, saving the company 56 hours/week in regulatory reporting
• Migrated firmwide reporting system from R/Python/Slack structure to Periscope based reporting
• Led prototyping for reports in Sisense and actively participated in training analytics team members on new tool
• Migrated database from datalake to data warehouse approach, increasing report processing speeds by 82%
• Leveraged JIRA to accurately assess scope of work and plan data analytics projects using story point based approach

ResumeRanks (Machine Learning Based Resume Scoring App)

• Worked directly with CEO and Investor to define data scope of application
• Liaised with sales/product/technical teams in India on outsourcing firm end
• Ensured development effort, QA and Testing hours were in line with budget and timeline for project
• Conducted industry analysis to ensure product market fit from data perspective

Integra Consultants (Fixed Income Analytics Consulting)

• Developed complex SQL procedures to report on key metrics for customer data, leading to better strategy and goal setting
• Built logistic regression model in Python to predict probability of default for credit card client, reducing default losses by 27%
• Created daily/monthly dashboards in Tableau to facilitate analysis for product management and marketing teams
  

• Updated research database infrastructure in SQL through procedures to support advanced analyses for Tradeweb Direct
  
• Implemented clustering algorithm in Python to price illiquid municipal bonds and aid price discovery on platform
  
• Visualized summary data in Tableau for presentation to product and relationship management teams
  
• Streamlined daily and monthly performance reports in Excel VBA and Tableau to reduce lead times by 50%