India

Data Engineering

Data Scientist

AI/ML Engineering

Ashwin Agrawal

Head of Data Science

Statical Analysis

Quantitative research

Qualitative research

AI/ML

Python

GitHub

NLTK

BigML

ChatGPT

Pandas

PyTorch

TensorFlow

Airflow

PostgreSQL

Java

Probability

Product analytics

Understand the process of training, motivating and directing your team members.

Managing people

Strategies for maximizing your design internship or co-op program.

Getting the most out of my internship

Tips for transitioning into a new role or company.

Changing roles

Get actionable feedback on your resume or portfolio.

Resume and portfolio review

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

Leading a team of 10+ 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.

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

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

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)

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

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.

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.

Ashwin Agrawal🇮🇳

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