Hi, I’m
Divya Ankam
Montreal,Canada
Summary
Looking for a research PhD position in Deep Learning, Conversational AI and Causality to solve real world problems.
Overview
10
years of professional experience
Work History
Google
AI/ML Solutions Engineer
Current
Job overview
- In, Cloud Platform (GCP) specializing in Artificial
- Intelligence and Machine Learning solutions
- Providing architecture and delivering innovative AI/ML solutions that drive business value to GCP clients
- Product Engagement Lead for Cloud Conversational AI, Personalized customer service solution based on ML insights
- Dialogflow SME : High-quality automated conversational experiences available for multiple channels
- Presented at InnovAI Google 2023 : Future of AI Exhibit powered by Google
- Technologies : GCP Vertex AI, Dialogflow, CCAI, AutoML, Generative AI, Model Garden
- Natural Language AI
Morgan Stanley
Data Scientist
04.2019 - 01.2021
Job overview
- Creating set of Machine learning solutions to enhance system that stores Data Models
- Lineages, and Data Quality Rules
- These rules define business logic's which control Database metadata thus facilitating their conversion to SQL statements which then are fed into
- UI dashboards for business reporting and trend analysis
- Designed and coded anomaly detection models for histogram Image-processing system to catch anomalies on client sensitive data
- Trained and deployed DeepAR machine learning models on AWS Sagemaker to analyze trading volumes, coded hyperparameter tuning for models
- Created multithreaded time series anomaly detection system for data quality checks on ticker information of trade prices
- Used Dask for multiprocessing, to speed up process on internal cloud from 20 hours to 2h
- Technologies: Python, AWS Sagemaker, OWL, autosys, Dask, H2O.ai, DB2, Sybase,Greenplum.
Morgan Stanley
Technology Analyst Summer Intern
05.2018 - 04.2019
Job overview
- Implemented a watchtower (WT) Perl and Python API to send Sybmon/Msqlmon server data to WT
- Engineered the solution from backed, creating data models, to writing the Python interface and designed Splunk dashboards to display the results
Concordia University
Research Assistant
09.2017 - 05.2018
Job overview
- Coded ML algorithms from scratch and implemented a novel regression model to correlate market share values to Google Trends
- Wrote 3 conference papers for international conferences
- Analyzed latest research papers in Machine learning
IBM
Application Developer
05.2014 - 02.2017
Job overview
- AT&T (Telecom Domain)
- Wrote a Java based application to enhance features of an existing application to display client data
- Wrote JDBC connections to Sybase, Greenplum and DB2 servers to enrich data
Education
Concordia UniversityMontreal, Canada
MASc from Quality Systems Engineering
2019
University Overview
- Supervised by Prof. Nizar Bouguila
VTUBangalore, India
Bachelor of Engineering from Electrical & Electronics Engineering
2013
Skills
- Concordia University : Graduate Workshop: Data Visualization with Python
- Montreal College of Information Technology : Graduate Course: Data Manipulation
- Algorithm Computers : Undergrad Courses : C, C, C#, Java, Python, SQL/PLSQL
Accomplishments
- Concordia Merit Scholarship | Concordia University Conference & Exposition Award
Timeline
Data Scientist
Morgan Stanley
04.2019 - 01.2021
Technology Analyst Summer Intern
Morgan Stanley
05.2018 - 04.2019
Research Assistant
Concordia University
09.2017 - 05.2018
Application Developer
IBM
05.2014 - 02.2017
AI/ML Solutions Engineer
Google
Current
Concordia University
MASc from Quality Systems Engineering
VTU
Bachelor of Engineering from Electrical & Electronics Engineering