Karan Babariya Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Ontario, Canada

- Teaching Big Data Analytics and Database Management- Covering Big Data theories, such as Probability and Decision Making under Uncertainty, Statistical Inference, Business Intelligence (BI) and Data Mining along with Data Modelling.- Introducing concepts of relational database management systems to manage operations of organizations- Covering concepts of.

Toronto, Ontario, Canada

• Developed, unit tested, and migrated the AML/ATF name-screening Python model suite processing to a dedicated server with automated job schedular for identifying False Positive Hits
• Heavily improved the model performance by using Python vectorized operations and software design patterns including code modularization
• Created a data pipeline to clean and manipulate raw data from 6 disparate sources in real time
• Implemented and hyper-tuned classification models such as logistic regression, random forest with an accuracy of ~81% to lower false positive alerts/hits closures
• Built and maintaining Bitbucket code repository with Jira integration to manage team’s continuous Python model suite deliveries
• Recognized by cross team management for delivering impactful analysis for multiple day to day BAU requests

Toronto, Canada Area

• Developed an assortment planning system to predict revenue of a product category in a given retail store
• Prepared and cleaned dataset with ~80 million rows to perform predictive analytics
• Applied predictive models such as Linear Regression, Artificial Neural Network, and Random Forest to forecast sales of a list of UPCs provided by category managers

Hyderabad Area, India

• Worked as a full-stack developer for ICD, a web-based product of Capital, an EDA (Electronic Designing of Automation) driven suite of products used by automotive industry to design wiring and electronic components in.
• Boosted performance by implementing caching and pagination to serve heavy data requests from multiple clients, which reduced the application page loading time from ~20 seconds to ~6 seconds
• Enhanced product features awareness by conducting 7 stakeholder presentations across the division to demonstrate new features inclusions in release candidates (RC)
• Improved product stability by raising unit test code coverage to 93%, highest coverage across the division
• Reduced ~2 hours of work hours to launch end-to-end automations every time by developing a scheduled automated job in Jenkins
• Mentored full-time interns and new hires in the team to ramp them up with day to day tasks

Hyderabad Area, India

• Worked as a Java developer for a team focusing on parsing data from third-party tools to Capital's designing tools
• Productized CSV (Comma Separated Value) adaptor to parse data produced by third party tool in CSV format to Capital understandable format – XML

VIT Vellore, India

• Created academic content for MOOCs (Massive Open Online Courses) accessed by ~3500 users on various concepts of data structures including graphs, trees, and linked lists in product development wing

Rajkot, Gujarat, India

• Developed prototype for android application linked to Miracle, a packaged accounting software, with SQLite database for holding customer information, which enabled mobile transactions for thousands of account holders

Master Of Management Analytics

Activities and Societies: Director of Finances, Professional Graduate Students CaucusCore Learnings: Predictive Analytics – Regression.

Bachelor Of Technology (B.Tech.), Computer Science, 3.99/4.0

Activities and Societies: Core committee member, Oikos Vellore

Higher Secondary, 91.6%

85.28