Yashraj Motwani

About the Candidate

Yashraj Motwani
Ottawa, Canada
yashmotwani0080@gmail.com
(+1)3435585312
www.linkedin.com/in/yashraj-motwani-7767b5151
https://github.com/yashrajmotwani23

Education
Masters in Digital Transformation and Innovation concentration in applied Data Science
University of Ottawa
Sep 2022 – Dec 2023 | Ottawa, Canada
9.15 GPA

Bachelors in Computer Science and Engineering
Savitribai Phule Pune University
Aug 2016 – May 2020 | Pune, India
8.24 CGPA

Professional Experience
Systems Engineer
Tata Consultancy Services (TCS)
Nov 2020 – Jul 2022 | Pune, India

Client – CVS Pharmacy (USA)
•Developed and implemented a Computer Visionbased
self-checkout solution utilizing C++ and Python
for image analysis, resulting in a 40% reduction in
checkout time and improving customer satisfaction by
25%.
•Streamlined software development lifecycle by
integrating Git and Azure for continuous testing and
deployment, concluding with a 30% reduction in time
to market and enhanced overall product stability.
•Trained and fine-tuned the YOLOv5 machine learning
model on a dataset of 10,000 annotated images using
Azure ML Studio, achieving an object detection
accuracy of 92% and reducing false positives by 40%.
•Directed creation and deployment of powerful
machine learning models using image recognition to
detect and prevent fraudulent card payments,
achieving a 35% decrease in unauthorized
transactions, safeguarding customer financial
information.
•Boosted operational efficiency by achieving over 90%
performance accuracy through the implementation of
streamlined processes, resulting in a significant
reduction in manual errors and a 40% increase in
productivity across the team.
•Coordinated with the on-site team to deploy a
solution on the client’s server using Docker
containers; attained enhanced performance, resulting
in a 25% increase in system responsiveness and
optimized user experience.

Client – Postnord Logistics (Sweden)
•Architected a robust truck filling percentage
determination solution employing C++ and Python;
achieved a 25% increase in truck utilization, leading to
substantial cost savings and augmented logistical
efficiency.
•Engineered and integrated computer vision solutions
to measure truck volume and parcel count, attaining
30% increase in truck-fill percentage and streamlining
delivery processes.
•Collaborated with a cross-functional team to train a
machine-learning model using Azure ML Studio and
20,000 annotated images, achieving a 25% increase in
precision and reducing model training time by 60%.
•Revamped the software development process by
implementing CICD pipeline with Git and Microsoft
Azure, leading to a 60% reduction in manual testing
efforts and a 30% decrease in production defects.
•Created and enforced specialized models—Zoom,
Gate, Focus, and Illumination for precise detection in
diverse scenarios, enhancing accuracy by 25% and
reducing false positives by 30%.
•Engineered data-driven strategies and performance
monitoring tools, resulting in a 96% accuracy rate and
a 20% reduction in operational costs.

Python Developer – Intern
ETM Automation Pvt. Ltd.
Jan 2019 – Apr 2019 | Pune, India

Collision Prevention Solution
•Took charge of the Formula Evaluator project,
converting C++ code to Python, resulting in a 30%
reduction in bugs and a streamlined development
process.
•Adapting the existing codebase to the unique
technical requirements of the project led to a 40%
reduction in system errors and improved overall
stability.
•Implemented a cutting-edge program into Raspberry
Pi-3, transforming vehicles into smart systems,
resulting in a 50% increase in safety features and a
25% reduction in accident rates.
•Developed and deployed an innovative vehicle
proximity detection system that utilized advanced
algorithms to measure distances between
neighboring vehicles, thereby preventing collisions
and ensuring passenger safety.

Projects
Decisions for Affordable/Social Housing (DASH)
University of Ottawa – City of Ottawa
Sep 2023 – Dec 2023
•Orchestrated the creation and execution of DASH, an
industry-leading housing analytics platform,
equipping stakeholders with actionable insights,
driving a 25% reduction in homelessness rates and a
15% increase in the availability of affordable housing,
delivering transformative outcomes.
•Pioneered the development and deployment of a data
centric solution, leveraging data analysis,
visualization, and predictive analytics to enhance
decision-making processes; accomplished a 35%
improvement in team efficiency and saved 100+ hours
per week.
•Led the design and rollout of DASH, a cutting-edge
housing analytics platform, empowering engaged
contributors, resulting in a 30% decrease in
homelessness and a 25% improvement in forecasting
future demand for affordable housing.
•Leveraged DBForge4 data generator tool to synthesize
realistic data, enabling comprehensive testing
scenarios and reducing manual data input time by
75%.
•Analyzed and visualized complex data sets utilizing
Microsoft Power BI, resulting in data-driven insights
that drove strategic decision-making and elevated
operational efficiency by 25%.
•Incorporated Azure ML Studio to train machine
learning models, enabling data-driven decision
making and improving operational efficiency by 40%
across the organization.

Intelligent parking system (Parcare)
•Implemented an innovative parking management
system utilizing IoT sensors and machine learning
algorithms, optimizing parking space allocation and
achieving a 25% reduction in traffic congestion and
emissions within the city.
•Leveraged state-of-the-art technologies,
encompassing SQL and PHP for backend operations,
and HTML, CSS, and Bootstrap for the frontend user
interface.
•Led the creation and execution of a cutting-edge
driver assistance platform, revolutionizing the way
drivers effortlessly locate and secure vacant parking
slots. This transformative solution resulted in a 25%
reduction in parking search time, enhancing overall
urban mobility.

Publications
Intelligent Parking System (Parcare)
International Journal Of Science and Advance Research
in Technology (IJSART)
Researched and authored a paper on the Intelligent
Parking System for a final year project, which was
subsequently published in the IJSART.

Skills and Strengths
Technical
Languages: Python, R, Go, SQL, C, C++, Java, PHP, HTML,
CSS, Pyspark Javascript, MongoDB
Frameworks: Pandas, Numpy, Matplotlib, Seaborn,
NLTK, Scikit-learn, OpenCV
Algorithms: YOLO, Linear Regression, Logistic
Regression, Decision tree, Random Forest, SVM, Kmeans,
neural networks, deep learning
Tools: Microsoft Suite, Microsoft Azure, Azure ML Studio,
Amazon Web Services, Google Cloud, Azure Databricks,
Docker, Kubernetes, CICD, Microsoft Power BI, Tableau,
Snowflake, Tensorflow, Keras, Linux, Jira
Key Competencies: Data Science, Data Analysis, Machine
Learning, Natural Language Processing, Data
Visualizations, DevOps, Agile
Non-technical
Teamwork, Decision-making, Working under pressure,
Cooperation, Creativity

Certificates
C++ Programming certificate
National Skill Development Corporation of India
Java Programming certificate
National Skill Development Corporation of India
Advance Java Programming certificate
National Skill Development Corporation of India
Data Analytics Essentials
Cisco
Data Science with Python
Udemy

Awards
National Science Drama Certificate
Nehru Science Centre
Earned 2 National level Science Drama certificates, 2
State level Drama certificates – State Rank 1 and 2
District level Drama certificates – District Rank 1.
State Level Basketball Certificate
Gujarat State Basketball Association
Received 2 state-level basketball certificates and 4
district-level basketball certificates.

Interests
Data Science
Computer Vision
Machine-Learning
Artificial Intelligence
Natural Language Processing (NLP)