Services
Video meeting . 15 mins
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 15 mins
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
About me
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.