Mayank Vadsola, MASc
Sr. Data Science Engineer at Stacktics- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Credentials
-
TensorFlow Certified Developer
TensorFlow Certificate ProgramMar, 2021- Oct, 2024 -
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)Jan, 2021- Oct, 2024 -
Google Cloud Certified Machine Learning Engineer
Google Cloud - MinnesotaNov, 2021- Oct, 2024 -
Google Cloud Certified Professional Data Engineer
Google Cloud - MinnesotaAug, 2021- Oct, 2024 -
Amazon Web Services Machine Learning Specialty
Amazon Web Services (AWS)Jul, 2020- Oct, 2024 -
Google Cloud Certified Professional Cloud Architect
Google Cloud - MinnesotaJun, 2021- Oct, 2024 -
Amazon Web Services Cloud Practitioner
Amazon Web Services (AWS)May, 2020- Oct, 2024
Experience
-
Stacktics
-
Canada
-
IT Services and IT Consulting
-
1 - 100 Employee
-
Sr. Data Science Engineer
-
Apr 2021 - Present
-
-
-
Medium
-
Online Audio and Video Media
-
1 - 100 Employee
-
Writer
-
Dec 2019 - Present
"When you teach, you learn twice." - Richard Feynman Occasionally writing articles regarding Data Engineering and Machine Learning.My key contributions here include:- Explaining mathematics behind Blackbox algorithms and coding implementation. - Democratizing machine learning.- Machine learning powered algo trading and portfolio management system. "When you teach, you learn twice." - Richard Feynman Occasionally writing articles regarding Data Engineering and Machine Learning.My key contributions here include:- Explaining mathematics behind Blackbox algorithms and coding implementation. - Democratizing machine learning.- Machine learning powered algo trading and portfolio management system.
-
-
-
Fairway Green Cannabis
-
Canada
-
Biotechnology Research
-
1 - 100 Employee
-
Machine Learning Engineer
-
Sep 2020 - Dec 2020
- Designed and developed serverless data and ML pipelines on AWS for automated data cleaning, model training,and deployment- Developed and deployed deep learning models for greenhouse and warehouse security systems- Developed and deployed machine learning models for control systems, increasing plant growth rate by 30% - Designed and developed serverless data and ML pipelines on AWS for automated data cleaning, model training,and deployment- Developed and deployed deep learning models for greenhouse and warehouse security systems- Developed and deployed machine learning models for control systems, increasing plant growth rate by 30%
-
-
-
University of Ottawa
-
Civil Engineering
-
1 - 100 Employee
-
Graduate Research Assistant
-
Jan 2019 - Aug 2020
- Development of end-to-end pipelines for high-performance CFD simulations.- Modeling of turbulent flows using RNNs and LSTMs.- Visualization of terabytes of data in parallel on thousands of cores.
-
-
Graduate Teaching Assistant
-
Sep 2019 - Apr 2020
Working as a graduate teaching assistant for the courses MCG 4345 - Aerodynamics and MCG 4191 - Aircraft Structure Analysis.My key roles and responsibilities here include:-Conduct problem analysis sessions/review lecture material every week for the students. - Grading (assignments, tests), proctoring exams, administrative duties (compiling grades).- Conduct office hours for academic support to students.
-
-
Graduate Research Assistant
-
Sep 2018 - Dec 2018
Worked as a graduate researcher, analyzed and optimized buckling restrained braces (BRBs) to be used in UAVs using Finite Element Solver. My key roles and responsibilities here include:- Carried out an optimization process to select the ideal thickness and length of the BRBs using Ansys Structural tool.- Performed linear and non-linear buckling tests on BRBs.- Generated reports and presentations to be submitted to the sponsoring industry.
-
-
Education
-
University of Ottawa
MASc Thesis - Engineering, CFD, Spectral Element Methods, Machine Learning, High Performance Computing -
National Institute of Technology Surat
Bachelor of Technology - BTech, Engineering -
KTH Royal Institute of Technology
HPC Summer School, High Performance Computing