Dhruv Sharma

AI Researcher

Greater Toronto Area, Canada4 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Spearheaded automated infrastructure deployment pipelines.
  • Developed advanced data models for anomaly detection.
  • Delivered end-to-end data analytics solutions.
Stackforce AI infers this person is a Data Science and Software Development expert in the Semiconductor and Fintech industries.

Contact

LinkedIn

Skills

Core Skills

Data ScienceSoftware DevelopmentData EngineeringMachine LearningCloud Computing

Other Skills

AlgorithmsAmazon RedshiftAmazon Web Services (AWS)Android DevelopmentApache NiFiArtificial Intelligence (AI)Big Data AnalyticsBitbucketCCommunicationComputer VisionData AnalysisData StructuresData VisualizationDatabases

About

👋 Hi, I’m Dhruv! I’m an engineer at AMD with 3+ years of experience in data-driven solutions and software development. I specialize in helping businesses unlock the power of their data to drive efficiency, innovation, and smarter decision-making. Note: Authorized to work in Canada What do I do? I deliver actionable insights through data science and develop software solutions that optimize processes and solve complex challenges. With expertise in machine learning, software development, time series analysis, and process control, I deliver results that directly impact performance and outcomes. Background & Expertise I hold a master’s in Systems and Technology from McMaster University, where I gained a strong foundation in data science, software engineering, and systems optimization. Over the years, I’ve worked in various sectors (semiconductor, fintech, etc.), collaborating with cross-functional teams to build automated pipelines, develop high-level business reports, and design enterprise analytics solutions that drive strategic decisions. Objectives Completed: 1. Spearheaded the creation of automated infrastructure deployment pipelines, streamlining operations and reducing manual errors. 2. Developed advanced data models for anomaly detection and process optimization, improving operational efficiency and early issue detection. 3. Delivered end-to-end data analytics solutions that provided actionable insights, empowering stakeholders to make data-driven decisions with confidence. Passionate About: I’m particularly excited by machine learning and data science, with a strong focus on time series analysis and process governance. I feel that these fields hold the key to solving real-world problems and transforming industries through smarter technologies. Tech Stack: Python | C++ | PowerShell | Java | Git | WordPress | Bitbucket | Jira | SQL | MongoDB | JavaScript | Amazon Redshift | Apache Hadoop | Spark | AWS | PyTorch | Azure | Jenkins | Postman | Looker | LookML | Power BI | Pandas | Snowflake Skills: 1. Machine Learning 2. Software Development 3. Problem Solving 4. Time Series Analysis 5. Process Control 6. Data Science 7. Data Visualization 8. Data Engineering 9. Cloud Computing 10. Algorithm Design 11. JMP Analysis Let’s Connect! I’m always eager to connect with others who are passionate about technology, data, and innovation. If you're interested in discussing the latest trends in machine learning, data engineering, or process optimization, feel free to reach out. 📌 For me: "Constant Learning & Accepting Feedback is the key"

Experience

4 yrs 4 mos
Total Experience
1 yr 5 mos
Average Tenure
3 yrs 8 mos
Current Experience

Amd

2 roles

PDE 2

Promoted

Sep 2023 – Present · 2 yrs 9 mos · Markham, Ontario, Canada

Data ScienceSoftware DevelopmentMachine LearningPython (Programming Language)Data VisualizationArtificial Intelligence (AI)+1

Co-op (Data Scientist)

May 2022 – Apr 2023 · 11 mos · Markham, Ontario, Canada

  • Kick-started by contributing to an ongoing visualization project, which resulted in a performance increase of 40% and reduced complexity of back-end code. Defined an email notification mechanism that alerts the targeted audience regarding critical events weekly.
  • Received ”Spotlight Award” for developing an insight engine for developing state-of-the-art company-wide process control solution.
  • Successfully defined an automated end-to-end ETL pipeline in Python that computes an index metric used for monitoring major systems in production.
  • Converted the legacy SAS scripts (generates data for crucial tableau reports) into Python. Automated the process by deploying the code over the Linux server.
Data AnalysisSQLPythonSoftware DevelopmentMicrosoft Power BIJMP+12

Mcmaster university

Graduate Teaching Assistant

Jan 2022 – Apr 2022 · 3 mos · Hamilton, Ontario, Canada

  • Course: Artificial intelligence (Winter 2022)
  • Supported instructor in execution of lesson plans, giving person consideration to student(s) and bunch sessions.
  • Conducted project review at the end of the course for the enrolled students and provided them with feedback. (It was a fun and valuable learning experience for me.)
Jupyter NotebookNatural Language Processing (NLP)Machine LearningPythonMicrosoft ExcelData Analysis+3

Finxera

Intern (Software Development)

Feb 2021 – Jul 2021 · 5 mos · Chandigarh, India

  • Contributed to the project called "DNA IaaS" by working closely with the cloud ops team in developing and maintaining the required pipeline for automating infra creation & deployment.
  • Performed end-to-end functionality and performance evaluation of a project that performs reconciliation on production environment.
  • Received appreciation for "Star of the Month" - May 2021.
  • Successfully performed the PoC on building up the "Data Transformation and Ingestion" pipeline using Apache NiFi.
Amazon RedshiftLooker (Software)Cloud ComputingAmazon Web Services (AWS)Software DevelopmentSQL+7

Intellify

Research Intern

Oct 2020 – Jan 2021 · 3 mos

  • Worked on the project "Intellify" by contributing to multiple domains in start-up environment including research, operations and content.
  • Curated original content for the back-end database repository as per the application requirement.
  • Conducted market research and spoke to multiple potential clients & stakeholders on regular basis.

The sparks foundation

Intern

Sep 2020 – Oct 2020 · 1 mo

  • Worked across multiple domains such as Software Development, Machine Learning & Blockchain.
  • Deployed and maintained websites on hosted networks and Amazon Web Services.
  • Collaborated with other fellow interns and completed tasks using Java, SQL & Python.
  • Verify @ https://thesparksfoundation.info/verify/
  • Code: HX7YVPPRAS

Career launcher

Machine Learning Intern

Jun 2019 – Aug 2019 · 2 mos

  • Analyzed financial records of more than 75 companies listed on the Indian stock market.
  • Performed CAPM (Capital Asset Pricing Model) analysis and Calculated Beta using regression (OLS Method).
  • Built a classification model on top of trade calls and predicted: "call" (target) for other markets.

Linkedin

Campus Editor

Dec 2018 – Dec 2019 · 1 yr

  • Selected as 1 of 600 students worldwide to join the year-long editor cohort to create engaging content on LinkedIn.
  • Helped my peers in improving LinkedIn profiles and took sessions in on-campus settings focusing on the potential of the platform in finding job(s)/internship(s)

Wishfie - your opinion matters!

Intern

May 2018 – Jul 2018 · 2 mos

  • Performed in the Growth and Community Development department and improved the overall growth by 20%.
  • Helped in making the platform more user-friendly and engaging.
  • Started discussions on topics like e-sports, technology and culture nationwide utilizing the platform.
Machine Learning

The snapstore app

Campus Intern

Dec 2017 – Jan 2018 · 1 mo

  • Worked towards improving customer engagement and providing better user experience.
  • Reported various technical bugs and helped in improving overall functionality of the application.

Education

McMaster University

Master of Engineering - M.Eng. — Computer Technology/Computer Systems Technology

Sep 2021 – Aug 2023

CHANDIGARH UNIVERSITY

Bachelor of Engineering (Honours) - B.Eng. — Computer Science and Engineering (IBM Specialized)

Jan 2016 – Jan 2020

Udacity

Deep Learning Nanodegree Program

Jan 2019 – Jan 2020

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