Advanced Analytics Specialist

Keerthana Nagula Email:ad1r8f@r.postjobfree.com

Phone:773-***-**** LinkedIn:linkedin.com/in/keerthana-nagula/ Boston,MA

SKILLS

Languages and Frameworks:Python,R,Java,C++,SQL,HTML,CSS,Angular,Spark Tools and Applications:Databricks (MLFlow),Ray,Oracle,SQL Developer,Snowflake,dbt,Airflow,Alteryx,Tableau,Marketo, GitHub,GitLab,Jira,Jupyter,VSCode,RStudio,Microsoft Suite Technical Skills:Data extraction,Feature Engineering,Machine Learning Modeling,Statistical Analysis PROFESSIONAL EXPERIENCE

Putnam Investments Boston,MA

Advanced Analytics Specialist September 2022 – Present Sales Propensity Project

• Built ML models with an average 90%accuracy that predict if a customer will purchase a fund with Putnam.

• Utilized Logistic Regression,XGBoost,Random Forest models on Databricks,sklearn in Python;MLFlow to track,store 50+models and deploy 12 models;Integrated Snowflake to pull data and store predicted scores of a customer’s ability to purchase funds. Sales Attribution Project

• Performed EDA,feature engg.and feature selection to obtain features of customer behaviors and interactions with sales.

• Developed a Logistic Regression model with Cross-Validation and Random Forest models to predict sales and attribute specific interactions to a sale,such as an email or a phone call.

• Presented results to business leaders using PowerPoint presentations and Tableau dashboards. Customer Segmentation Project

• Conducted an analysis on Putnam customer base to discover customer profiles.

• Identified the type of customers who have a higher propensity of purchasing mutual funds and used this information to target specific customers with specific funds.

SimPlan (Scheduler for Putnam Call Center)Project

• Simplified SQL queries that pull data from multiple tables in Oracle to build Tableau reports.

• Created the logic for the query and validated the data in SQL Developer.

• Updated and maintained documentation throughout the process. Asset Persistency (Asset Management and Consolidation Process)Project

• Migrated a major portion of the legacy process to Snowflake.

• Reduced run time from 2 days to 4 hours by using window functions in SQL.

• Rebuilt the process in Snowflake from Python for various levels of transaction information. Research

• Conducted Ray and Spark research on Databricks to reduce run times during hyperparameter tuning. Technology Associate July 2021 -August 2022

Lead Engine Project

• Analyzed rejects made by sales agents when using the Lead Engine (generates leads based on customer interactions and previous sales history)on a territory and microlead level.

• Created metrics and Tableau dashboards to help business leaders better understand and track sales agents’ behavior when using the Lead Engine.

• Built machine learning models using Logistic Regression and XGBoost to predict sales agents’ interaction and sale movements of customers using Lead Engine.This analysis directly resulted in business leaders implementing changes to the Lead Engine logic to serve better customers to sales agents.

CASH Project

• Migrated legacy application CASH to internal cloud access using Angular. Dell International Services Bangalore,India

Intern June 2018 – August 2018

• Developed a tool (Posi-Tone)to analyze language and tone in Dell social media agents’ and customers’ messages using Text Mining and ML algorithms.

• Built a custom and industry specific dictionary for 10 tones and achieved 80%accuracy for tone classification algorithm (concluded by random testing done by managers)and 75%accuracy for sentiment analysis algorithm. EDUCATION

Illinois Institute of Technology Chicago,IL

Master of Science in Data Science GPA:3.44/4

Coursework:Statistical Analysis,Big Data,Machine Learning,Natural Language Processing M.S Ramaiah Institute of Technology Bengaluru,India Bachelor of Engineering in Information Science and Engineering GPA:8.91/10 Coursework:Data Structures and Algorithms,Operations Research,Deep Learning EXTRA-CURRICULAR ACTIVITIES

Attendee -Open Data Science Conference East (May 2023),Women Impact Tech Conference,Boston (August 2023),National Association of Asian American Professionals Conference,Boston (August 2023)

Contact this candidate