Summary
Overview
Work History
Education
Skills
Websites
Timeline
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SAI NISHANT SURESH

Austin,TX

Summary

Experienced and results-driven professional with over 5 years of expertise in the realm of Data and Analytics. Recognized for adept problem-solving skills, robust technical abilities, and a proactive approach that emphasizes urgency. Proficient in various facets of analytics, including Growth, Product, and Operations, demonstrating a versatile skill set.

Overview

6
6
years of professional experience

Work History

Senior Data Analyst, Product Analytics, Product

Guideline Inc
01.2022 - Current
  • Led the initiative reduce Fraud but partnering with the data science to proactive identify fraud plans that bloated our core metrics
  • Lead the project, partnering with eng and product manager for the growth of our franchise plans (legally related groups) to achieve the goal of $2m dollars in bookings.
  • Partnered with product design teams with a goal to improve employee email information and A/B tests and corresponding metrics and reduced email bounce rate by 80%.
  • Used statistical techniques to automate dashboard monitoring and came with innovative techniques to throw alerts during any abnormalities.
  • Engineered a dynamic web application using Streamlit (Python Library) for report generation based on user selections. Implemented efficient caching and integrated dbt transformations, resulting in a remarkable 97% reduction in query costs and enabling concurrent query execution for multiple users.
  • Served as the data analytics consultant for the mobile app launch project, identifying crucial metrics for logins, onboarding, and engagement. Offered recommendations for tracking events in Segment, and delivered a comprehensive company-wide update on the launch's success that led to several new feature ideas.
  • Spearheaded the migration of Salesforce tables to a new data warehouse powered by dbt, optimizing various tables. Notably, orchestrated the transformation of handle time data tied to the Salesforce case into a dbt model reducing 90% in query costs.
  • Developed a Python-based calculator to allocate residue cash of terminated plans to employee’s 401k accounts, incorporating intricate formulae and conducting extensive research on 401k IRS limits. Achieved a 90% reduction in calculation time, enhancing accuracy. Deployed the tool in a Streamlit web app for ease of access.
  • Pioneered a new ARR (Annual Recurring Revenue) calculation methodology and built a historic aggregated model in dbt, alongside several other key fact tables for the company’s core metrics dashboards. Achieved a significant reduction in load time and improved accuracy.
  • Developed SQL scripts using recursive CTEs to analyze failed bank transactions, estimating client debts and initiating a project that successfully recovered over $850,000.


Data Analyst I, Data Analytics, Ops & Analytics

Guideline Inc
10.2019 - 01.2022
  • Built a firm-wide financial penalties dashboard to provide key insights into losses related to market activity and operation errors. The insights provided by the dashboard helped R&D prioritise product improvements, resulting in more efficient and effective risk management processes.
  • Developed multiple tools using JavaScript to automate customer email notifications for 401k deferral failures. This helped the team maintain compliance with IRS regulations and improved the timeliness of communications.
  • Built automation to proactively identify processing errors and developed a Slack integration to notify agents, resulting in a 90% reduction in late processing of 401k funds. The integration with Slack allowed agents to quickly address errors, resulting in improved processing times and a 10% reduction in error costs.
  • Constructed an executive Looker dashboard powered by dynamic liquid (Jinja) coding, featuring parameters, templated filters, and historical views. This dashboard offers valuable insights into customer baselines, segmentation, and in turn initiated several new company-wide projects.
  • Developed a JavaScript automation for finance, streamlining mapping of extensive external transactions to internal transactions. Enables users to insert data from a GSheet to a BigQuery table, run queries, and receive mapped reports via email resulting in a 75% reduction in turnaround time.

Data Analytics Intern - Healthcare Analytics

Acurus Solutions Inc
08.2018 - 01.2019
  • Performed extensive market research analytics using Pandas and Sci-Kit learn for identifying hospitals requiring Clinical Documentation Specialists, successfully bringing in 4 new clients signing contracts with the company.
  • Worked on a Python based tool that generated PDF files for a large volume of clients using a template document. It significantly reduced manual work, saving the company over 100 hours per quarter.

Education

Master of Science - Industrial And Systems Engineering

University of Florida
Gainesville, Florida
05.2019

Bachelor of Science - Mechanical Engineering

Anna University
05.2017

Skills

  • Advanced SQL
  • Statistics, A/B, Hypothesis Testing, Sampling, Distributions
  • Product Analytics : Amplitude, Segment, Pendo
  • Growth Analytics: Google Analytics, Leads,
  • Python - Streamlit, Scikit Learn, Pandas
  • Google App Scripts, Rest APIs, Webhooks
  • Looker, Tableau, Google Looker Studio
  • Version Control: GitHub
  • Data Warehousing: Python, dbt, Jenkins

Timeline

Senior Data Analyst, Product Analytics, Product

Guideline Inc
01.2022 - Current

Data Analyst I, Data Analytics, Ops & Analytics

Guideline Inc
10.2019 - 01.2022

Data Analytics Intern - Healthcare Analytics

Acurus Solutions Inc
08.2018 - 01.2019

Master of Science - Industrial And Systems Engineering

University of Florida

Bachelor of Science - Mechanical Engineering

Anna University

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SAI NISHANT SURESH