Senior Data Scientist

• Dec 2021 - Present

Data Scientist

• Jan 2020 - Dec 2021

• Identified false alarms for a security system company with 80% accuracy by designing predictive models to help call centers prioritize customers and optimize the police dispatch process• Automated the process of flagging a patient’s comment as an alert in a healthcare system with 75% accuracy by implementing and optimizing machine learning models for text classification in Alteryx • Reduced overall company spend by 1% and analyzed employee performance by leveraging NLP techniques on free hand insurance adjuster notes to measure KPI’s, and designing and producing executive level dashboards in Tableau• Improved the order assignment process for a manufacturing company by predicting the travel time of trains with 73% accuracy by implementing a boosting regression model• Scoped out customer behavior predictability and helped drive product decisions by generating detailed reports on customer behavior and trends of a security system company using visualizations in Python• Recommended a data visualization strategy to a clinical trials team, based on use cases derived from key stakeholder interviews by researching and analyzing multiple visualization tools and building POCs for performance comparison• Trained and upskilled users in Alteryx and Tableau across an organization while building data hubs to facilitate migration of automated reports from Sagent to Alteryx• Improved marketing campaign spend decisions by optimizing complex SQL queries to automate weekly and monthly reports of a credit union company

Data Analyst, Data Innovation

• Sep 2019 - Dec 2019

• Built Carto maps to show the historic distribution of treatments for crops on Indigo fields across United States• Extracted and modeled field level spatial data from AWS bucket for all of Indigo’s sales regions to evaluate the appropriate soil and weather conditions for indigo treated seeds• Created Google Data Studio dashboards to report performance of farmers to facilitate sales plan for agronomists for the next season• Redesigned and simplified complex SQL queries to reduce runtime by 80% and facilitate data completion • Aggregated county level data for reporting and comparison to Indigo farmer fields performances for the past 10 years• Extracted data and designed SQL queries to show key business unit KPI’s for external stakeholders

Data Sciences Co-op, Data Innovation

• Jan 2019 - Jun 2019

• Played an integral role on the Data Innovation team of a unicorn startup with approximately 1500 employees in the Beneficial Ag industry• Implemented a regression model to predict the yield of the growers and segment them into tiers with a score of 62%• Collaborated with the sales team to understand and identify important business metrics to prioritize daily calls • Estimated the capacity of on farm storage units across US to prioritize existing leads and accounts• Launched a pilot program and generated exclusive region-wise weekly reports for each salesperson in the program to help in lead generation• Built a model to segment the buyers enrolled in Indigo Marketplace into three tiers for buyer sales training• Designed animated Carto maps to display the progress of the company across key business units • Wrote complex SQL queries to identify soil types of Indigo farmer fields for different internal use cases• Generated and mapped state and county level reports for crop health of corn and soy in Brazil and Argentina fields

Data Analyst

• Dec 2015 - Apr 2017

• Generated executive level dashboards and stories in Tableau to create Utilization Reporting of employers to improve resource utilization and report the findings to the higher management• Retrieved data for analysis and website designing using SQL queries for Kaiser Permanente• Handled ETL Development and component Design of Data Warehousing components to gather and define business requirements while managing business processes • Ensured quality solutions by presenting policy & business aspects of system issues to developers to replicate issues on test environments • Analysed 2500+ defects raised by the client and identified 100+ system issues • Demonstrated extensive functional knowledge and an understanding of variously complex business rules • Promoted from Program Analyst Trainee to Program Analyst within one year for outstanding performance

Intern

• Jun 2014 - Jul 2014

*Trained in Embedded Systems and Basic Robotics.*Designed digital calendars, stopwatches, LCD print outs and LED designs, using Microcontrollers.*Made different kinds of basic robots such as Line follower, Mobile Controlled Robot and Never falling robot, using specific codes.*Final project on Never Falling robot. *Trained in Embedded Systems and Basic Robotics.*Designed digital calendars, stopwatches, LCD print outs and LED designs, using Microcontrollers.*Made different kinds of basic robots such as Line follower, Mobile Controlled Robot and Never falling robot, using specific codes.*Final project on Never Falling robot.

Trainee

• Jun 2013 - Jul 2013

Conducted research in R&D department and developed a project. Conducted research in R&D department and developed a project.