Souravdeep Singh
DATA ANALYST
DATA ANALYST
I help organizations turn data into actionable insights by building analytics solutions that bridge technical capability and business value. My work focuses on translating complex datasets into clear narratives that support strategic decision-making, operational monitoring, and stakeholder communication.
Currently contributing to a production information radiator dashboard deployed on internal display systems at Halight, supporting real-time business monitoring and decision-making. My background combines technical development experience with formal analytics education—a Post-Graduate Diploma in Data Analytics for Business at St. Clair College and a Bachelor's degree in Computer Applications with Business Administration coursework.
Technical foundation: Python (Pandas, NumPy, scikit-learn), SQL databases, cloud analytics (AWS Athena, S3), visualization tools (Tableau, Power BI), and applied machine learning for business problems.
My expertise spans data analytics, business intelligence, and applied machine learning. I work across the full analytics lifecycle - from data extraction and transformation to model development and stakeholder presentation - with a focus on delivering reliable, production - ready solutions that support business decision - making.
Experience serving on Student Representative Council and Transit Windsor Advisory Board has developed my ability to analyze complex organizational challenges, weigh competing priorities, and contribute to policy decisions that balance multiple stakeholder interests.
Proven ability to translate technical analysis into clear, actionable insights for non-technical audiences. Regularly present data findings to board members, government officials, and college administration, adapting communication style to audience expertise and decision-making context.
Work effectively across technical and non-technical teams. At Halight, collaborate with business analysts, developers, and operations teams to ensure analytics solutions align with organizational needs. Leadership roles require coordination across academic, governmental, and student constituencies.
Apply structured analytical frameworks to break down ambiguous problems, identify root causes, and develop data-driven solutions. Background in both technical implementation and policy advocacy enables holistic problem assessment.
Manage multiple concurrent responsibilities—co-op analytics work, SRC leadership duties, academic coursework, and advisory board commitments—while maintaining quality standards and meeting deadlines. Comfortable with ambiguity and shifting priorities in fast-paced environments.
Navigate organizational dynamics, understand power structures, and build consensus across diverse groups. Experience in student governance and municipal advisory roles has developed sensitivity to institutional constraints, political considerations, and the importance of building trust with stakeholders.
My professional journey in data analytics, leadership, and continuous learning.
Windsor, Ontario, Canada
September 2024 - Present (Expected: April 2026)
Working on a production-grade information radiator dashboard deployed on internal TV displays to provide real-time operational and business insights. The system integrates live data from Amazon Athena with scheduled refresh cycles to ensure reliable, up-to-date reporting. The dashboard supports internal teams in monitoring trends, identifying performance issues, and enabling data-driven discussions. Additional analytical models are developed to support strategic analysis outside the live dashboard environment. This role strengthens my ability to communicate insights, constraints, and trade-offs to non-technical stakeholders and decision-makers.
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St. Clair College, Downtown Campus
May 2024 - May 2026
Planning, managing, and hosting events for board members and the student body. Participating in board meetings to discuss policies and making key decisions on financial and staffing matters in executive meetings. Attending provincial-level conferences to address student issues and meeting with political leaders to enhance student experience. Advocating for students by resolving academic misconduct issues and presenting SRC reports to the college's executive board at the highest administrative level. This role strengthens my ability to communicate insights, constraints, and trade-offs to non-technical stakeholders and decision-makers.
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Windsor, Ontario, Canada
October 2024 - October 2026
Representing St. Clair College and SRC in municipal transit planning. Attending meetings to present student perspectives and securing SRC consent on transit initiatives. Collaborating with government leaders to improve transit accessibility for everyone in Windsor. Relaying critical information back to SRC organization and St. Clair College administration through board meetings, bridging the gap between students and city government. This role strengthens my ability to communicate insights, constraints, and trade-offs to non-technical stakeholders and decision-makers.
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3-Month Internship
Focused on front-end design, contributing to developing and refining user interfaces. This role provided valuable hands-on experience and a deeper understanding of web development principles. Gained significant knowledge and skills that greatly contributed to professional growth.
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Vapi, India
Handled receptionist duties and provided guidance on study options in Canada, the USA, and other countries for IELTS, GRE, and PTE preparation. Managed client inquiries, ensured smooth daily operations, and occasionally supported tutoring tasks, contributing to a comprehensive and client-focused service experience.
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Pursuing advanced data analytics education with focus on business applications. Coursework includes statistical analysis, machine learning, data visualization, big data technologies, and business intelligence. Gaining hands-on experience with industry-standard tools and real-world projects.
Graduated with Distinction (CGPA: 8.0+)
Completed comprehensive coursework combining computer science fundamentals with business administration principles. Developed strong foundation in programming, database systems, software engineering, and business management.
Developed classification models (Decision Tree, Logistic Regression) achieving 89.3% accuracy to predict customer churn. Identified key drivers including early tenure (0-3 months), customer complaints (~80% churn rate), and cashback patterns. Analysis suggests targeted retention strategies could reduce churn from 16.8% to below 12%.
Built machine learning models achieving 98% accuracy to forecast customer value, enabling data-driven marketing budget allocation and retention strategies. Identified top 20% customers driving 45% of revenue through RFM segmentation, projected to increase CLV by 20% and reduce high-value churn by 25%.
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