Prerak
Trivedi

I am a

Hi there 👋 I am a passionate Data Product Specialist based in the vibrant province of Ontario, Canada, driven by a relentless curiosity to link business objectives with data-driven insights. My forte lies in meticulously crafting strategic roadmaps and delivery plans, ensuring a seamless translation of complex goals into tangible outcomes.

Thriving on challenges, I find immense pleasure in transforming intricate problems into elegant, intuitive code, thereby reflecting simplicity amidst complexity. Off the clock, I revel in stirring up culinary delights, nurturing my lush garden, indulging in a compelling read, or soaking up nature's wonders during a leisurely walk in the park.


Work Experience

TD Logo Senior Product Analyst, TD Bank Group

  • Strategic Problem-Solving and Solutioning: Define and address key customer pain points through comprehensive root cause analyses, driving solutions that led to a 20% increase in customer engagement with our products.
  • Driving Growth and Innovation: Identify potential areas for growth leveraging domain expertise, creating innovative strategies that boosted business performance by 15% while ensuring alignment with customer needs.
  • Cross-Functional Leadership and Collaboration: Facilitate cross-functional collaboration to expedite product development, implementing detailed roadmaps and Agile methodologies that improved project delivery efficiency by 30%. Utilize data-driven decision-making processes to balance trade-offs, resulting in a 25% improvement in prioritization of key objectives.
  • Research and Product Management: Conduct market research to understand the competitive landscape and emerging trends, thereby informing product roadmap. Introduced a feature set that captured a new customer segment, increasing market share by 10%.

Summatti Logo Data Scientist (NLP, R&D), Summatti

  • Data-Driven Product Enhancement: Implemented analytical strategies and algorithms that increased the unique customer interaction points for products by over 3+ times, contributing to better user engagement and product understanding.
  • Machine Learning Application: Designed, maintained, and deployed 4+ scalable machine learning models and pipelines, significantly advancing product development and testing processes.
  • Product Success Planning: Developed product success metrics, strategies, and conducted market research, resulting in a 15% increase in user engagement and aiding in prioritizing the product development pipeline.
  • Cross-Functional Collaboration: Collaborated across various teams, enhancing the delivery of 5+ data products by effectively engaging and communicating with stakeholders, including the CEO, developers, and the business team.

TurtleTech Logo Data Science Consultant, TurtleTech Inc

  • Advanced Data Analytics & Prediction: Utilized Python and R to deploy time series models, analyzing large datasets for decision-making and traffic management, enhancing strategic foresight and operational efficiency.
  • Project Management & Efficiency Optimization: Optimized project deployment time by 35% and achieved 86% accuracy by identifying project priorities and implementing efficient resource allocation strategies, leading to significant improvements in project delivery and outcomes.
  • Stakeholder Engagement & Revenue Impact: Collaborated with stakeholders to boost product performance, leading to a $100K increase in revenue through enhanced consumer satisfaction and product-market fit.

TurtleTech Logo Data Analyst, TurtleTech Inc

  • Data Maintenance & Operational Efficiency: Enhanced operational efficiency by 10% through meticulous data maintenance and analysis, identifying and resolving model issues to streamline business operations.
  • Solution Development & System Improvement: Developed and implemented solutions to rectify faults in data pipelines, boosting the existing system's effectiveness by 25% through strategic improvements and technical innovations.
  • Visualization Design & Reporting Solutions: Designed and simplified over 10 visualizations weekly, creating impactful reporting solutions for ad-hoc analysis, thereby facilitating data-driven decision-making across teams.

Tech Skills

Python
Capable of performing various tasks based on arrays and dataframes. Perform various visualizations, classification and clustering techniques.
R Programming
Perform various tasks like visualization, statistical analysis, text analysis and machine learning models using libraries such as tidyr, ggplot, CART, superml.
SQL
Can perform SQL database management, design database queries and obtain relevant results. Can design basic database structures by creating relations between tables.
Machine Learning
Have implemented various models like Neural Networks, CNN, Random Forest, Regression, SVM etc. using libraries like TensorFlow, Keras, Scikit-learn, PyTorch in R and Python.
Computer Vision
Hands on experience for the image classification, recognition and object detection. Also aware of transfer learning technique along with pre-trained models like VGG16 and Inception V3.
Big Data Technologies
Familiar with cloud services like AWS and Google Cloud. Familiar with NoSQL databases using MongoDB, Cassandra and Hadoop. Hands on experience with PySpark using Docker for Machine Learning.

Soft Skills

Problem-Solving
Strong analytical skills with a proven track record of leveraging data to solve complex problems and improve business outcomes.
Project Management
Experience in prioritizing tasks, optimizing resource allocation, and delivering projects on time with Agile methodologies.
Strategic Thinking
Aptitude for driving growth and innovation by identifying potential areas for improvement and implementing effective strategies.

Domain Expertise

Product Development
Insights into product lifecycle management, from conducting market research to managing product rollouts and enhancements.
Consumer Engagement Strategies
Ability to analyze customer interaction points, improve engagement strategies, and leverage data for customer success.
Operational Efficiency
Experience in streamlining operations and improving business processes based on data-driven insights.