Functional Skills

Blockchain
Business Intelligence
Data Analysis
Data Governance
Data Transformation
Finance Transformation
Integration Management (IMO)
Operations Management
Risk Management
SQL Analysis

Software Skills

Airflow
AWS
Blockchain
Python
Snowflake
SQL
Yaml

Certifications

MCPMicrosoft Certified Professional

Sector Experience

Consumer Goods
Financial Services
Healthcare
Retail
Technology

Languages

Hindi
Gujarati
English

Notable Clients

ag1
Amazon
Ripple Labs
Two Sigma

Experience

Ripple Labs Inc. Data Science / Analytics
Senior Analytics Consultant
6/2023 - Present
Ripple Labs is leveraging blockchain technology and XRP tokens to settle cross-border payments in seconds, not days.

Senior Analytics Consultant

• Designed and executed data pipelines using Python and SQL in collaboration with Finance and Treasury teams, automating data processes and optimizing resource allocation.
• Engineered data solutions with Databricks, enhancing data analysis and reporting capabilities, directly applicable to large dataset processing analysis for customer data.
• Delivered strategic automation roadmaps and BI solutions, demonstrating an ability to scope, track, and communicate complex projects – skills directly transferable to managing data analytics pipelines.

AG1 Data Science / Analytics
Senior Analytics Engineer
1/2024 - Present
Working as a Senior Analytics Engineer for the Data and Analytics team to optimize their modern data stack and create scalable business data models for business stakeholders to consume and create insightful metrics/KPI using Snowflake, dbt, and Tableau.

Kitesight Management Consulting
Founder/Principal Consultant
1/2024 - Present
• Partnered with diverse clients to enhance their modern data analytics platforms, involving a thorough assessment of their current challenges and needs. Developed strategic roadmaps focused on optimizing their current reporting structure and reducing tech debt.
• Engineered and implemented automated workflows for the Finance and Marketing teams, identifying key opportunities for automation and executing BI solutions that resulted in 99% error reduction in data ingestion and reporting key metrics. Utilized Python, SQL, and Databricks to drive this transformation.
• Developed and implemented project management workflows to delegate responsibilities and tasks to subcontractors and team members, utilizing bi-weekly sprint planning to enhance project oversight and execution.

Indigo Agriculture Data Science / Analytics
Senior Analytics Manager
7/2020 - 6/2023
Indigo Ag is a two-sided marketplace that conne growers and buyers and provides digital merchandising services.
Senior Analytics Manager July 2020– June 2023
• Led analytics projects from conception to delivery, aligning with Aigle methodologies and ensuring timely execution and clear communication.
• Optimized pricing data sources at Indigo by automating data reconciliation processes with SQL, dbt, and Snowflake tools, saving the trading desk 6 hours per day and improving operational efficiency.
• Designed customer insights dashboards that enabled commercial team to have informed discussions with existing customers about their trading volumes and profits on the Indigo Marketplace Platform, resulting in a 50% increase boost in repeat purchases.
• Implemented an automated marketplace trading ledger as a Looker dashboard that aggregated key P&L KPIs from 3rd party data sources, reducing the error rate by 99% and providing risk management and financial stakeholders with an accurate a

Indigo Agriculture Operations
Business Intelligence Engineer
7/2018 - 7/2020
• Pioneered the integration of dbt for data transformation and analytics, preparing me for similar challenges in developing and maintaing complex datasets and ETL pipelines.
• Modeled the organization's Looker instance with LookML and migrated manual reports from Tableau, reducing manual data labor by 50+ weekly hours for key business associates.
• Drove a $2.3MM/Quarter revenue increase by improving the effectiveness and productivity of the grain marketing specialist team through the development of a current grain market supply-demand match dashboard using Python, SQL, and embedded Looker Dashboards on the Indigo Marketplace platform.

Fidelity Investments Data Science / Analytics
Data Analyst – Consumer Knowledge & Strategic Insights
1/2017 - 6/2017
• Reduced time spent on solving reported issues in databases by 3 times by designing and developing executive dashboards for data governance team using Qlik which indicated data health of domains and quality metrics of Fidelity technology data sources.
• Enhanced database operations by crafting executive dashboards and optimizing query performance by 20% and aggregated key insights for the personal investment executive group.