Sai Raghu Teja Davuluri
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Sai Raghu Teja Davuluri Email & Phone Number

Lead Data Scientist at Pharmavite
Location: San Francisco Bay Area, United States 9 work roles 2 schools
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✓ Verified July 2026 3 data sources Profile completeness 86%

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Current company
Role
Lead Data Scientist
Location
San Francisco Bay Area, United States
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Who is Sai Raghu Teja Davuluri? Overview

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Quick answer

Sai Raghu Teja Davuluri is listed as Lead Data Scientist at Pharmavite, a with 1039 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Sai Raghu Teja Davuluri.

Sai Raghu Teja Davuluri previously worked as Sales Forecasting, Data Scientist at Pharmavite and Data Scientist at Isazi. Sai Raghu Teja Davuluri holds Master'S Degree, Data Science from University Of San Francisco.

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Pharmavite

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Profile bio

About Sai Raghu Teja Davuluri

As a Data Scientist with over four years of experience in market analytics, I excel in leveraging Generative AI, NLP, and advanced statistical techniques to drive business growth and innovation. Currently based in San Francisco, I have a proven track record of developing and deploying scalable machine learning models, optimizing retail inventory, and enhancing product recognition systems. My expertise in tools like Python, SQL, Spark, and cloud platforms such as AWS and GCP has enabled me to deliver impactful solutions that significantly reduce costs and improve operational efficiency.

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Sai Raghu Teja Davuluri's current company

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Pharmavite
Pharmavite
Lead Data Scientist
west hills, california, united states
Website
Employees
1039
AeroLeads page
9 roles

Sai Raghu Teja Davuluri work experience

A career timeline built from the work history available for this profile.

Lead Data Scientist

Los Angeles, Ca, Us

Sales Forecasting, Data Scientist

Los Angeles, California, United States

Data Scientist

San Francisco Bay Area

Project 1: Retail Inventory Optimization with LLM forecasting- Integrated an LLM forecasting model with inventory optimization algorithms as an intern, to determine optimal stock levels, reorder points, and inventory allocation across a retail network spanning 200 stores, achieving a 15% reduction in purchasing costs.- Increased 20% forecast accuracy by fine-tuning Lag-Llamma on 5+ years of sales data by modifying the architecture and temporal modeling. Project 2: Retail Product… Show more Project 1: Retail Inventory Optimization with LLM forecasting- Integrated an LLM forecasting model with inventory optimization algorithms as an intern, to determine optimal stock levels, reorder points, and inventory allocation across a retail network spanning 200 stores, achieving a 15% reduction in purchasing costs.- Increased 20% forecast accuracy by fine-tuning Lag-Llamma on 5+ years of sales data by modifying the architecture and temporal modeling. Project 2: Retail Product Image Recognition- Integrated 45k retail images for precise product identification in Isazi's shelf analytics app, deploying a fine-tuned Hugging Face transformer model with just a 5% trade-off error, ensuring real-time accuracy on mobile devices. Show less

Oct 2023 - Aug 2024

Data Scientist, Marketing

Bengaluru, Karnataka, India

- Conducted A/B testing and implemented customer segmentation strategies based on ML clustering techniques, resulting in a 20% uplift in click-to-open rate- Executed SQL operations on Snowflake and Spark for data retrieval, market campaign analysis, routine reporting, and ad-hocs- Scored the US population monthly on propensity models in R and Python and prepared the target data by demographic and behavioral analysis relevant to each campaign to generate meaningful results and optimize… Show more - Conducted A/B testing and implemented customer segmentation strategies based on ML clustering techniques, resulting in a 20% uplift in click-to-open rate- Executed SQL operations on Snowflake and Spark for data retrieval, market campaign analysis, routine reporting, and ad-hocs- Scored the US population monthly on propensity models in R and Python and prepared the target data by demographic and behavioral analysis relevant to each campaign to generate meaningful results and optimize each customer interaction to drive future sales and brand loyalty.- Designed effective dashboards in Tableau and Excel for data visualization as per client requirements- Analyzed trends of KPIs and concluded to develop campaign strategies yielding ROI> $100,000- Built incremental propensity models using Xg-Boost to increase ROAS by 40%- Collaborated with stakeholders and business teams to identify critical business problems and areas of opportunity and translate business questions into quantitative analyses- Decreased churn rate by 25% through collaboration with cross-functional teams to translate business questions into quantitative analyses and deploy data-driven solutions- Employed banking and credit risk management expertise to segment customers across LoBs, increasing policy retention and ROI by 15%- Reduced customer acquisition costs (CAC) by 7% and enhanced customer lifetime value (LTV) metric through strategic sales optimization Show less

Jul 2021 - Jun 2023

Analyst Intern

Bengaluru, Karnataka, India

Project 1: Uplift Model For Customer Propensity Modeling- Developed a predictive model using Uplift to identify the individuals who can be persuaded and areonly likely to respond after receiving a targeted marketing email.- After vigorous EDA and feature engineering, the model was trained on 80,000 records that weresubsetted from a data set of 50M records provided.- A stacking classifier algorithm with logistic regression and random forest as base models andXg-Boost as a… Show more Project 1: Uplift Model For Customer Propensity Modeling- Developed a predictive model using Uplift to identify the individuals who can be persuaded and areonly likely to respond after receiving a targeted marketing email.- After vigorous EDA and feature engineering, the model was trained on 80,000 records that weresubsetted from a data set of 50M records provided.- A stacking classifier algorithm with logistic regression and random forest as base models andXg-Boost as a meta-model was built to neutralize the effects of both underfitting and overfitting,achieving an AUC of 74%.Project 2: HR attrition project - Leveraged advanced statistical techniques and implemented a Logistic-XGBoost ensemble model to predict attrition among a dataset of 30,000 employees. - Generated key insights and KPIs to reduce the hiring rate by 15%, focusing on employee satisfaction, career development opportunities, and managerial effectiveness. Show less

Mar 2021 - Jul 2021

Co-Founder

Manipal

The Research Society of Manipal is an organization that aims to connect students and provide resources to promote research with a focus on making it interdisciplinary, on MIT’s campus. Our goal is to actively flesh out novel ideas in the form of patents, papers and most importantly instil the spirit of a research mindset.

Jan 2020 - Jan 2021

Co-Founder

Pergo.Io

Rajahmundry, Andhra Pradesh, India

- Co-founded an e-commerce startup, overseeing product development, digital marketing, and campaign management, generating INR 8M.- Led initiatives to enhance data analytics capabilities, focusing on predictive and product analytics, driving customer satisfaction, and improving customer journey through SEO and go-to-market strategies, earning a 4.3/5 rating on the Play Store.

Apr 2020 - Dec 2020

Research Intern (Communication And Ai Controls Engineer)

Manipal

Handled communication systems with integration on Robotic Operating System(ROS), generatingpoint clouds using a stereo camera and stitching them to form a 3D map and integrating all sensorsused on the bot with ROS on Jetson Nano.

Jun 2019 - Jan 2020

Researcher

Manipal

Project: To build a rover capable of autonomous traversing on rough and uneven terrains- Designed autonomous traversal algorithms and object-tracking models for rover navigation- Coded to map and acquire data from soil and biosensors to give high-precision- Mentored juniors and trained them on the latest technologies and techniques.

Oct 2017 - Jun 2019
Team & coworkers

Colleagues at Pharmavite

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2 education records

Sai Raghu Teja Davuluri education

FAQ

Frequently asked questions about Sai Raghu Teja Davuluri

Quick answers generated from the profile data available on this page.

What company does Sai Raghu Teja Davuluri work for?

Sai Raghu Teja Davuluri works for Pharmavite.

What is Sai Raghu Teja Davuluri's role at Pharmavite?

Sai Raghu Teja Davuluri is listed as Lead Data Scientist at Pharmavite.

Where is Sai Raghu Teja Davuluri based?

Sai Raghu Teja Davuluri is based in San Francisco Bay Area, United States while working with Pharmavite.

What companies has Sai Raghu Teja Davuluri worked for?

Sai Raghu Teja Davuluri has worked for Pharmavite, Isazi, Merkle, Research Society, and Pergo.Io.

Who are Sai Raghu Teja Davuluri's colleagues at Pharmavite?

Sai Raghu Teja Davuluri's colleagues at Pharmavite include Roza Ait Hellal, Corie Keane, Tony Jackson, Tradale Thomas, and Enrique Carrillo Jr.

How can I contact Sai Raghu Teja Davuluri?

You can use AeroLeads to view verified contact signals for Sai Raghu Teja Davuluri at Pharmavite, including work email, phone, and LinkedIn data when available.

What schools did Sai Raghu Teja Davuluri attend?

Sai Raghu Teja Davuluri holds Master'S Degree, Data Science from University Of San Francisco.

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