Sankalp is an experienced Data Scientist proficient in Python and the Machine Learning stack, including pandas, numpy, pytorch, tensorflow, and sklearn. He is well-versed in standard and advanced ML algorithms and possesses the capability to engineer end-to-end full stack ML solutions. His experience includes leading data science teams, managing client-facing projects, and restructuring analytics and business intelligence functions.
Experience
Data Analyst 2
Better.com
Leading the Analytics and Business Intelligence restructuring of the Homeowner's Insurance KPIs. Embedded in a cross-functional role with the Homeowner's Insurance and Settlement Services team creating, building and maintaining tracking for various sales and strategy teams. Part of various pilot projects including but not limited to customer profiling, pricing analysis for products and pre-flight validation of business cases.
Advisor - Data Analytics
Institute of Information Technology and Management
Responsible for setting up infrastructure for warehousing and pipelining student performance data. Pilot projects for clustering and cohort assignment for students using unsupervised learning methods. Worked on creating an interface for internal usage of student data (including but not limited to web and app based analytics dashboards).
Data Scientist - Level 2
CogniTensor
DS Team Lead: Led the Data Science team in multiple projects ranging from Inventory Management (Retail), Price Forecasting (Commodity Trading and Sales), Resource Optimisation (Operations). Responsible for overall team management and alignment of workflows. Client Facing Responsibilities: Managed 3 live projects in a client-facing capacity, in addition to the technical direction, implementation of the algorithmic base and architecture of the ML stack. Core Team Responsibilities: Was the first employee in the Data Science team. Built the internal tool stack on Open Source Technologies on AWS along with the co-founder, CTO and subsequent team members. Well versed with putting ML pipelines into production.
Summer Intern
ST Microelectronics
Learnt functional design flows, post layout simulations and collaborated with various IP teams within ST to aid their migration to Synopsys Custom Compiler. Miscellaneous tasks included Python and Tcl scripting, debugging and integration.
Co-Founder and Director - Data Science
Hypertechpreneurs Private Limited
Hypertechpreneurs was founded as a SaaS company, solutioneering for core industrial sectors that have relatively low digital penetration. Led the development of an end-to-end vehicular damage detection pipeline based on YOLOv5 and Mask-RCNN. Trained on publicly available vehicle image data scraped from used car dealerships and auction houses.
Education
BITS Pilani
B.E. (Hons.)
Electrical and Electronics Engineering
Licenses & Certifications
Machine Learning
Stanford University on Coursera
Blockchain Foundation for Developers
IBM on Coursera
Trading Strategies in Emerging Markets
Indian School of Business on Coursera
Migration of Legacy Design flows to Synopsys Custom Compiler
Fully Integrated Damage Detection Pipeline