Siddhant Agarwal, M.Eng

Data Scientist

Canada2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in architecting production-grade AI solutions.
Proven track record in optimizing cloud data infrastructures.
Strong mentorship skills fostering team innovation.

Stackforce AI infers this person is a Data Scientist specializing in AI and cloud solutions for diverse industries.

Contact

Skills

Core Skills

Machine LearningMicrosoft AzureNatural Language Processing (nlp)Data PipelinesData IntegrationTeam Leadership

Other Skills

AI AgentsAzure Data FactoryAzure DatabricksAzure ServicesBashBig DataCClassificationCluster AnalysisContext EngineeringCreative Problem SolvingCross-functional CollaborationsData AnalysisData ModelingData Structures

About

As a Data Scientist and Consultant with over four years of experience, I am passionate about leveraging Generative AI and advanced analytics to solve complex business problems. I have a proven track record of leading end-to-end data science projects, from initial strategy and requirement gathering to full-scale deployment and team enablement. My expertise lies in architecting and implementing production-grade AI solutions, with a focus on building Multi-Agent AI systems that drive operational efficiency and unlock new value. My technical foundation is built on Python, Machine Learning, and Natural Language Processing (NLP), with deep proficiency in cloud platforms like Azure (Databricks, Data Factory, Logic Apps). I am particularly skilled in designing intelligent data pipelines, optimizing cloud infrastructure for performance, and establishing robust design patterns that guide scalable application development. With a Master's in Analytics from the University of Toronto, I bring a unique blend of analytical rigor and strategic consulting experience. I am committed to bridging the gap between cutting-edge technology and business strategy, ensuring that AI innovation translates into measurable impact.

Experience

2 yrs

Total Experience

1 yr

Average Tenure

Current Experience

Cgi

Data Scientist

Jan 2022 – Present · 4 yrs 5 mos · Toronto, Ontario, Canada · Hybrid

In my current role at CGI, I've had the privilege of collaborating with clients across diverse sectors, delivering tailored data-driven solutions that address their unique business challenges. I specialize in leveraging cutting-edge technologies to drive innovation and efficiency, from AI-powered solutions to large-scale cloud migrations.
𝐊𝐞𝐲 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬:
𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Architected and implemented an intelligent document processing system utilizing Large Language Models (LLMs) and Agentic frameworks. This solution automates critical screening tasks, resulting in a significant reduction in manual effort and 90% time savings for senior development teams.
𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Led a client's data infrastructure migration to Azure, successfully moving their local data stack to a cloud-native environment. This project involved optimizing data pipelines and automating workflows to deliver a more scalable and reliable data platform.
𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Achieved a 10x improvement in data processing speed, cut computational costs by 36x, and optimized storage by 4x by strategically optimizing Azure Data Factory pipelines.
𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐌𝐞𝐫𝐠𝐞𝐫𝐬: Independently developed an automated data transformation solution during a major client merger. My solution ensured seamless data integration and achieved 50% efficiency gains by automating complex data-mapping processes, which was critical for post-merger operations.
𝐌𝐞𝐧𝐭𝐨𝐫𝐬𝐡𝐢𝐩 𝐚𝐧𝐝 𝐓𝐞𝐚𝐦 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: Fostered a culture of innovation by coaching and mentoring team members on building agentic solutions and leveraging Power BI and Azure services. This initiative enabled the team to independently deliver cost-effective and scalable solutions.

AI AgentsRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Context EngineeringPrompt EngineeringNatural Language Processing (NLP)+16

University of toronto

2 roles

Teaching Assistant

Jan 2021 – Apr 2021 · 3 mos

STA130: An Introduction to Statistical Reasoning and Data Science
Effectively communicated statistical concepts such as hypothesis testing, re-sampling, etc. with demonstrations in R.
Provided constructive feedback on the assignments to facilitate learning, solved queries during the office hours
MIE377: Financial Optimization Models
Effectively communicated financial modeling concepts to third-year undergraduate students during tutorial sessions.

Research Assistant - Machine Learning

Sep 2020 – Aug 2021 · 11 mos

Conducted an in-depth analysis to identify personas of U of T undergraduate students using survey data and other diverse data sources.
Performed ETL processes using Spark SQL, ensuring clean and structured data for analysis, and applied factor analysis for dimensionality reduction.
Designed and implemented unsupervised machine learning algorithms, including a hardcoded K-median clustering model, on Azure Databricks to uncover meaningful patterns in the data.
Conducted statistical analyses tailored to specific data types, enabling the identification of distinguishing features for each cluster and providing actionable insights.

Natural Language Processing (NLP)SQLMachine LearningCluster AnalysisMicrosoft AzureAzure Databricks+5

Secure meters limited

2 roles

Graduate Engineering Trainee

Jul 2018 – Apr 2019 · 9 mos

Reported to the department head, responsible for identifying business challenges and solving them through data analysis.
Performed Data mining and analysis, implemented solutions to achieve the target level of KPIs, and conserved 9.2K CAD.
Worked cross-functionally under stringent timelines, maintained collaborative relationships with stakeholders.

Industrial Trainee

Jan 2018 – Jun 2018 · 5 mos

Reported to the department head, managed a team of 5 technicians, collected and analyzed the data, provided predictive and prescriptive data solutions to keep the processes running efficiently by 25%.

Avtec limited

Research Development Internship

May 2017 – Jun 2017 · 1 mo · Tamil Nadu

Revised Power Flow calculation of 60 Ton Transmission; analyzed planetary carrier of the same transmission
Corrected 2 speed and 3 torque values in calculations of 8 drives for planetary gear system in transmission
Designed carrier in Siemens NX and analyzed it in Nastran to achieve safety dimensions

Indian institute of technology, roorkee

Research Internship

Dec 2016 – Dec 2016 · 0 mo · IIT Roorkee

Performed Finite Element analysis of a Connecting Rod, created a SolidWorks model, imported it in ANSYS Workbench to perform stress analysis
Solved model for 3 different materials, applied complex load, achieving safe design dimensions for applied load and chosen materials

Malaviya national institute of technology jaipur

Summer Internship

May 2016 – Jun 2016 · 1 mo · MNIT, Jaipur

Performed Kinematic Analysis of Reaper Machine, created SolidWorks model, imported it in MSC Adams and simulated for Position, Velocity and Acceleration
Wrote a MATLAB code for Position, Velocity and Acceleration to verify the results obtained from the software
Obtained 100% agreement in MATLAB and MSC Adams results