Dileep Kumar Patchigolla

AI Researcher

Austin, Texas, United States13 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building custom ML models and libraries.
Proven track record in user acquisition and retention strategies.
Strong background in data analytics and statistical modeling.

Stackforce AI infers this person is a Data Scientist specializing in SaaS and E-commerce analytics.

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Skills

Other Skills

Big DataAnalyticsBusiness AnalysisBusiness AnalyticsBusiness IntelligenceSegmentationAnalysisAnalytical SkillsDeep Reinforcement LearningOptimizationpandasRMatlabBigQueryPython (Programming Language)

About

Implementing Machine Learning and Deep Learning techniques, working with Recommender systems, Image data, Social Graph Analysis, Text data. Using machine learning techniques to build User Acquisition strategies and models, building user segmentation models to maximize user LTV and retention. Driving user insights from data and converting them to actionables, improving business metrics. Owning up the models from conceptualizing, prototyping, deploying into the product till maintaining. Understanding ongoing issues and deep diving of key performance indicators. Handled the UA portfolio of six games getting profitable users from multiple sources and strategies. Skills: Statistics, Machine Learning, Excel, Python, MySQL, Hive, Pyspark, Social Graph Analysis, Deep Learning, Data analysis

Experience

Rudderstack

2 roles

Principal Data Scientist

Dec 2024 – Present · 1 yr 3 mos

Principal Data Scientist

Oct 2021 – Nov 2024 · 3 yrs 1 mo

Leading Data Science initiatives at Rudderstack
Building custom ML models for our customers
Building libraries that eases creating and deploying custom ML modeling and
Helping improve our data products
Building GenAI applications into our product

Target

2 roles

Lead AI Scientist

Promoted

Jul 2020 – Oct 2021 · 1 yr 3 mos

Improved search experience by adding contextual reranking in visual filters and facets
Built a framework to add different types of contextual signals for reranking search results

Lead ML Engineer

Jul 2018 – Jun 2020 · 1 yr 11 mos

Working on various aspects of e-commerce search
Understanding the search queries and provide better suggestions for the search suggestions (autocomplete) by factoring in seasonality and trends using trend detection
Adding personalization to query suggestions in e-commerce search using an LSTM based siamese architecture
Synonym mining using statistical techniques to augment synonym corpus

Hike messenger

2 roles

Specialist, Data Science

Promoted

Dec 2017 – Jul 2018 · 7 mos

Created an "Image genre identification model" in a semi-supervised setup using image embedding and graph clustering techniques
Built Content feed recommendation algo based on user interests, using ALS matrix factorization and Factorization Machines
Created prediction models for user insights and demographics based on their social graph and location data

Specialist, Statistical Analysis

Nov 2016 – Nov 2017 · 1 yr

Handled Analytics for User Onboarding, working on improving early user retention using data insights
Built models to predict user value at time of onboarding using their social graph
Built recommendation algos for friend suggestions

Kiwi india pvt ltd

Senior Business Analyst

Aug 2013 – Oct 2016 · 3 yrs 2 mos · Bangalore

Built user segmentation models to improve LTV and retention by segmenting users and applying appropriate action items to different users.
Built statistical models for targeting users to maximize LTV and minimize acquisition costs.
Prototyping the models in R and Excel.
Handled Analytics end-to-end for the product, from configuring the BI Instrumentation to generating reports, and driving actionable insights from the data
Created A/B tests to improve mobile ad serving performance.
Built reports to monitor performance of different KPIs.

Olam international (invenio)

Senior Executive

Dec 2011 – Jul 2013 · 1 yr 7 mos · Bengaluru, Karnataka, India

Worked for Invenio, a wholly owned subsidiary of Olam International.
Analyst in a hedge fund that trades mainly in Agricultural based derivative products.
Developed statistical models to predict yield of various agricultural crops based on weather data.
Identifying the patterns in data to understand the stochastic processes.
Preparing balance sheets for crops.
Preparing data frameworks for automated update of balance sheets.