Pankaj Agarwal

Senior Software Engineer

Bengaluru, Karnataka, India13 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 12 years of experience in Applied Machine Learning.
Expert in search and recommendation systems.
Proven track record in optimizing ML models.

Stackforce AI infers this person is a Machine Learning Engineer specializing in E-commerce and SaaS solutions.

Contact

pankaj.iitkgp08@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalysisGraph Neural NetworksPredictive Analytics

Other Skills

ARIMAAlgorithmsAnalyticsAutocompleteBig DataBusiness AnalysisCollaborative FilteringCustomer RelationsData MiningData ModelingData ScienceExcelHTMLHadoopHypothesis Testing

About

With over 12 years of experience in Applied Machine Learning, currently contributing at Uber as a Senior Software ML Engineer, driving advancements in search and recommendation systems for UberEats. Key initiatives include enhancing query understanding, optimizing autocomplete features, and leveraging uplift modeling to improve driver onboarding processes. Previous roles at Compass and Myntra, honed expertise in graph neural networks, spectral clustering, and multi-arm bandit frameworks, solving complex challenges in search ranking and deduplication. Passionate about leveraging robust ML techniques to create scalable, user-centric solutions that empower seamless digital experiences. Bachelors in Technology from Indian Institute of Technology, Kharagpur. Masters in Computer Science from Georgia Tech University.

Experience

Uber

Senior Software Engineer - Machine Learning

Aug 2022 – Present · 3 yrs 7 mos · Bengaluru, Karnataka, India · Hybrid

Improved search experience in UberEats App using ML:
a) Worked on problems related to Query Understanding (SpellCheck, Named Entity Recognition, Query Rewriting, etc.)
b) Enhanced AutoComplete feature by improving candidate generation and ranking.
Optimized driver onboarding flow:
a) Built Uplift models using T-Learner on XGBoost to selectively target drivers for early Background Check trigger. This resulted in improved Supply of drivers.

Machine LearningPythonData AnalysisSQL

Compass

Senior Machine Learning Engineer II

Sep 2021 – Aug 2022 · 11 mos · Bengaluru, Karnataka, India

1. Solving near duplicate detection of brokerage names using Graph Neural Network Techniques like DeepWalk, GraphSage, etc.
2. Implemented Minhash LSH based de-duplication of brokerage names.
3. Used Spectral Clustering to detect unique agents in a transaction graph.

Graph Neural NetworksSpectral ClusteringData Analysis

Myntra.com

3 roles

Lead Data Scientist

Promoted

Apr 2019 – Sep 2021 · 2 yrs 5 mos · Bangalore

Leading a team of 4-5 people for improving Search Ranking and Recommendations at Myntra.
Implemented Multi-Arm-Bandit framework to solve the cold start problem.

Multi-Arm BanditData AnalysisMachine Learning

Senior Data Scientist

Promoted

Jul 2017 – Mar 2019 · 1 yr 8 mos · Bangalore

Built Personalized version of Similar Products Recommendation model using Collaborative Filtering techniques such as ALS, BPR, etc.
Developed Image similarity model using Siamese Networks which can power Visual Search.

Collaborative FilteringData AnalysisMachine Learning

Associate Data Scientist

Mar 2014 – Dec 2016 · 2 yrs 9 mos · Bangalore

● Developed ARIMA time series models at a product cluster level to predict demands at different warehouses.
● Developed a Naive Bayes Text Classification model to split the thousand’s of feed backs received every day into Sentiment, Department & Sub - Department.
● Developed a Random Forest based ML model which provided the score of a shipping address being poor.
● Developed an ML model which gives the probability of an order being an RTO (i.e. Return to Origin).

Time Series AnalysisText ClassificationMachine LearningData Analysis

Data Scientist

Dec 2016 – Jul 2017 · 7 mos · Bangalore

Worked on hypothesis testing (A/B ) frameworks.

Hypothesis TestingData Analysis

Fico

Analytic Science Scientist - I

Jun 2012 – Mar 2014 · 1 yr 9 mos · Bangalore · On-site

a.) I was part of a team in FICO (Bangalore) that provides analytics solutions to some of the world’s largest retail Giants like SAMS Club , BestBuy, Loblaws, etc.
b.) Acquired domain knowledge about predictive analytics and various modeling techniques like Linear Regression, Logistic Regression, Neural Networks, SVM, Recommendation Systems, etc.

Predictive AnalyticsModeling Techniques