Ashwin Agrawal — Director of Engineering

Ashwin has 8+ years of experience in setting up a Data Science team from Scratch and scaling the AI and Data Science products for gaming and E-commerce companies with expertise in tabular ML, Personalisation, Recommendations, Fraud and Match-Making domains. Ashwin is currently heading the Data Science and Engg team of 25+ members at MPL comprising of Data scientist, Data Analyst and Data/ML Enggs Ashwin is currently looking for a role to head the data science vertical having more than 8+ years of experience in the industry and having a 4+ years of experience in leadership. Currently working at MPL as Director Data science and Engg. Previous work experience includes , ML engineer at Myntra , Quantitative Research Consultant at World Quant LLC- Develop trading signals for back testing and to trade in US and European markets. GSoC-Open Source developer at R Organisation for statistical computing- Google Summer of Code-2017 and 2018. StackOverFlow Bounty Hunter-1.5k+ reputation https://stackoverflow.com/users/7702120/ashwin-agrawal?tab=profile SKILL SETS : • Expertise in Advanced Machine Learning in R and Python (XGBoost, Random Forest etc.). • NLP • Deep learning techniques like LSTM, RNN and CNN (Keras and TensorFlow). • Open source development with R, markdown, active community member of R statistical computing • Hands-on with AWS & Azure Web Services (Relevant to BigData) • AWS Redshift, Presto, Pyspark, Airflow, Apache Spark(On EMR), Azure SQL • Analytical Databases: Redshift, Presto, Flask, Rest APIs, Kafka and Azure event hubs • NoSQL Databases: Elastic Search • Shiny dashboards, flexboards, plotly with R. • Statistics and Time series modelling in R. • Prior experience in developing quantitative trading strategies in python using technical and fundamental analysis.

Stackforce AI infers this person is a Data Science leader in the Gaming and E-commerce sectors.

Location: Bengaluru, Karnataka, India

Experience: 9 yrs 8 mos

Skills

Machine Learning
Data Science
Quantitative Analysis

Career Highlights

Led a 25-member data science team at MPL.
Patented innovative game formats boosting revenue.
Expert in machine learning and data-driven personalization.

Work Experience

M-League

Director/ Head of AI , ML Engg and Data Products (1 yr 1 mo)

Mobile Premier League (MPL)

Associate Director of Data Science and Engg. (2 yrs)

Staff Data Scientist (11 mos)

Senior Data Scientist (5 mos)

Data Scientist 2 (11 mos)

Myntra

Senior Machine Learning Engineer (9 mos)

Machine Learning Software Engineer (1 yr 7 mos)

Google

Google Summer of Code-2018-R organization for statistical computing (2 mos)

Google summer of code-2017- R organisation for statistical computing (3 mos)

WorldQuant LLC

Quantitative Research Consultant (2 yrs 2 mos)

Education

B.Tech Degree at Indian Institute of Technology (Banaras Hindu University), Varanasi

Ashwin Agrawal

Director of Engineering

Bengaluru, Karnataka, India9 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Led a 25-member data science team at MPL.
Patented innovative game formats boosting revenue.
Expert in machine learning and data-driven personalization.

Stackforce AI infers this person is a Data Science leader in the Gaming and E-commerce sectors.

Contact

Skills

Core Skills

Machine LearningData ScienceQuantitative Analysis

Other Skills

Reinforcement LearningPersonalizationRecommendation SystemsData AnalysisGame DevelopmentEnsemble LearningFraud DetectionAI SolutionsTrading StrategiesData StructuresQuantitative AnalyticsTechnical AnalysisFinancial AnalysisC/C++Java

About

Experience

9 yrs 8 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 1 mo

Current Experience

M-league

Director/ Head of AI , ML Engg and Data Products

Apr 2025 – Present · 1 yr 1 mo · Bengaluru · On-site

Director and Head of Data Science and ML Engg. at MPL. Working closely with CEO, Business and Product head to drive ML driven growth for the last 5 years.
Build E2E reward personalisation for all users across different GEOs IN, US and BR, this led to an increase of 5% MoM DAU Retention and 10% monthly ARPU growth. We used Reinforcement Learning techniques to build user level personalisation and recommendation.
Build and patented new Game format HoF (Hall of Fame) which uses ML based skill scores of users to give competitive targets to the users. Grew US Business from 100K$ monthly APRU to 700K$ monthly APRU in a span of 6 months.
Build real time new user quality prediction module (ensemble based prediction) which improved the D7 ROAS from 5% to 7% by giving feedback to Ad and performance marketing team to improve their conversion funnels. Also this improved the new user D7 APRU by 20% by identifying the top quality users early on and improving their retention.
Lead the Data Engg and ML Engg team to build a E2E inhouse ML platform to serve real time ML inferencing to provide user level personalised journeys.

Machine LearningData ScienceReinforcement LearningPersonalizationRecommendation Systems

Mobile premier league (mpl)

4 roles

Associate Director of Data Science and Engg.

Promoted

Jun 2023 – Jun 2025 · 2 yrs

Leading a team of 20+ Data Scientist, Analytics and ML Engineers to work on the CLM, Fraud, Personalization and Recommendation Charter at MPL.
Built E2E personalisation and Reco systems for new, repeat and resurrected users on MPL with a MAU of 5 Million+ users.
Built realtime ML platform with latencies less than 100 ms to serve offers and CLM on the MPL.
Working closely with Revenue, Product and Marketing Heads to scale and grow MPL with more than 40% Growth YoY.

Data ScienceMachine LearningPersonalizationRecommendation Systems

Staff Data Scientist

Jul 2022 – Jun 2023 · 11 mos

Leading the CLM (Customer Life Cycle Management), Recommendation and Personalisation Data Science Charter Across Various GEOs in MPL (IN, US and NG)

Data ScienceMachine LearningRecommendation Systems

Senior Data Scientist

Promoted

Jan 2022 – Jun 2022 · 5 mos

Leading the Fraud Charter at MPL:
1. Build E2E Anti- Money Laundering Systems.
2. Build Neptune Graph Based Collusion systems to detect cheating.

Data ScienceFraud Detection

Data Scientist 2

Jan 2021 – Dec 2021 · 11 mos

Myntra

2 roles

Senior Machine Learning Engineer

Promoted

Mar 2020 – Dec 2020 · 9 mos

Working as a Senior Data Science software developer in Myntra Ltd in AI-ML (Vorta) team. Worked on a SAS product
VORTA which automatically generates new fast-fashion intelligent designs for designers and brands like H&M etc.
Developed end to end ML and AI solutions and deployed them in real-time systems. Designed and built an
asynchronous web service in Python for exposing data science model (random forest, XGBoost, GBM, ensemble modelling in H2O etc.).Also build spark- hadoop based big data machine learning pipelines on Pyspark and Airflow.
Currently working on time series forecasting and anomaly detection using ARIMA, Prophet. Also working
on azure-custom-vision (image classification), deep learning and text based classification (NLP)

Machine LearningAI SolutionsData Science

Machine Learning Software Engineer

Jul 2018 – Feb 2020 · 1 yr 7 mos

Working as a Data Science(ML) Software Developer in Vorta Team.

Google

2 roles

Google Summer of Code-2018-R organization for statistical computing

May 2018 – Jul 2018 · 2 mos · India

Biodiversity Data utilities.

Google summer of code-2017- R organisation for statistical computing

May 2017 – Aug 2017 · 3 mos

Google Summer of Code- Open Source Developer at R-Organisation.
Project Title: Biodiversity Data Cleaning
The project is based on Biodiversity Data Cleaning which involves large scale (big data) data cleaning and data management using various statistical models and machine learning tools. The whole work will be formulated in form of an R package which will be submitted to ROpenSci.

Worldquant llc

Quantitative Research Consultant

May 2016 – Jul 2018 · 2 yrs 2 mos

1) Completed summer training program held by WORLD QUNAT LLC by receiving gold medal position among top 10 in India.
2) Selected as a Quantitative Research Consultant due to stupendous performance.
3) The consulting is based on developing trading strategies (alphas) for US, European and Asian markets in expression, C++ and python. (risk adjusted returns).
4) An Alpha is defined as a mathematical, predictive model of the performance of financial instruments.
5) Currently part of advisory program where I work on many diverse data sets ranging from technical, fundamental, sentimental, analyst and model. The objective is to build diverse and robust delay 1 trading signals with high sharpe, returns and margins.

Quantitative AnalysisTrading Strategies