Krishna Teja J. Email & Phone Number

Palo Alto, California, Us

Palo Alto, California, Us

Denver, Colorado, Us

Generalist Data Scientist with a focus on funnel performance and digital marketing- Supported Growth Engg. team on website A/B test prioritization, implementation, and analysis of test results - Led to a 52% increase in form completion for paid audiences; 10% decrease in LP bounce rate - Create and optimize marketing audiences for targeting on Digital and Direct Mail platforms - These audiences account for ~70% of incoming application volume post-COVID - Primary point of contact for ad hoc deep dives into website user activity and funnel performance - Planned, simulated, and rolled out a first-of-its kind interest rate discount policy in the US market for FC - Increased originations by 100% in target population, overall impact at ~3-4% - Handled stakeholders across product, marketing, sales and legal/compliance to implement the policy

Santa Clara, California, Us

Primary point of contact for digital analytics queries; Perform ad hoc analysis for resolving data anomalies- Perform ad hoc analyses to identify causes for anomalies observed in the data, and drive the necessary fixes- Work on creating the KPIs and defining the data implementation for AB testing initiatives- Interact regularly with end users - product managers, data analysts, and web developers - to gather requirements - Built an evaluation system for cross-device tracking based on third party identity graphs- Gained immense experience in handling large scale data across web and mobile apps - Realtor.com has a combined traffic of around 3.8 million people performing 100 million actions per day - For each of these actions, around 70-100 variables are collected- Planned and implemented data collection for marketing pixels for Google, Facebook and other marketing partners

Boulogne-Billancourt, Île-De-France, Fr

-Intern with GE Energy Connections as part of the Digital Technology Leadership Program.-Develop time series and regression models to forecast power output from solar cells given expected weather conditions.-Implement neural network and random forest models in python to compare against regression models-Improved the run time for a power grid performance simulation from 3 min per simulation to 200 simulations in 1 minute- Built a multiple regression neural network with 15 inputs and 200 outputs using tensorflow.

Cincinnati, Ohio, Us

Jersey City, New Jersey, Us

Member of product development team for ALPS – iQuanti’s data-driven SEO tool- Translated empirical knowledge of SEO practices into data-based hypotheses and verified them using appropriate algorithms- Built advanced text models like near duplicate document detection, page-keyword similarity score, and document clustering- Implemented Lesk's algorithm for word sense disambiguation using NLTK and Wordnet 3.0.- Utilized Python for data wrangling & text mining using pandas, scipy, scikit-learn, and nltk packages- Created monitory metrics to track performance of ALPS core predictive models- Familiar with working in agile (scrum) environment for product development- Inducted into Early Leadership Program (rotational leadership development program) at iQuanti

Jersey City, New Jersey, Us

Provided analytics and implementation support for ALPS - iQuanti's SEO tool- Created metrics for monitoring the ALPS model accuracy.- Prepared automated analytics dashboards to report key user activity metrics for ALPS tool- Analyzed the data to draw inferences regarding user activity on the tool- Identify key performance metrics for ALPS and setup Google Analytics implementation in AngularJS environment

Jersey City, New Jersey, Us

Part of cross-functional team comprised of marketers and web developers. Handled projects for multiple clients simultaneously. Worked on data analysis, reporting, conversion optimization and website tagging.Website conversion optimization- Calculated custom conversion metrics and performed ad-hoc analyses with raw website hit data in SQL - Handled data of about 8-10 million rows with 15-20 variables per row on Amazon Redshift- Implemented an in-house algorithm in PostgreSQL, using odds ratios to identify key user transitions- Performed conversion funnel analysis and above methods to generate data-driven hypotheses for A/B tests and MVTs- Increased conversion rate by 150% for online display advertising customers to Homequity Bank’s website- Increased revenue by 7% for a credit card loyalty points program through increased product redemptionsDigital Marketing Analysis and Reporting- Drafted insights from capaign performance data and drove recommendations for client digital marketing channels – search, display and social- Prepared weekly and monthly analytics dashboards to report key digital marketing metrics obtained from multiple data sources- Automated Excel dashboard update through API and third party plug-ins; reduced manual update efforts by 30%- Gained robust understanding of analysing digital marketing channel data - organic and paid search, display marketing and social media marketingWebsite tagging- Identify key client metrics and setup Google Analytics implementation across multiple websites for single client- Prepared custom tagging specification documents with naming conventions for future development activities.- Implemented advanced Google Analytics features – custom dimension tracking, custom channel grouping, and view filters.

Gerlingen-Schillerhöhe, Baden-Wuerttemberg, De

Master Of Science (Ms), Business Analytics

M.Tech(Integrated Dual Degree), Mechanical Engineering, With Specialization In Industrial Engineering

Pre-University Course, Karnataka State Board

High School, Icse