Services

Video meeting . 15 mins
FREE
Priority DM . 2 days reply
FREE
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
500
Video meeting . 30 mins
500
Popular
Video meeting . 30 mins
500
Video meeting . 15 mins
FREE
Priority DM . 2 days reply
FREE
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
500
Video meeting . 30 mins
500
Video meeting . 60 mins
1,000

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.