Vishnav S
vishnavs338@gmail.com +91 8848727103
B-8/Room No-106,Ashtavinayak Co-operative Vishnav S
Soceity, MIDC,Andheri(E),Mumbai
github.com/vishnav804
Profile
Results oriented MSc Big Data Analytics student with expertise in data analysis, statistical modeling, and
business intelligence. Skilled in deriving actionable insights, developing data-driven strategies, and presenting
findings to stakeholders. Proficient in managing complex data projects with a focus on accuracy, efficiency, and
impactful outcomes.
Professional Experience
2024 Machine Learning Intern(Remote)
Mumbai, India Prodigy InfoTech
Engaged in a hands-on project focusing on machine learning applications.
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Developed and tested predictive models using Python and relevant libraries.
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Education
2023 – Pursuing Master of Science in Big Data Analytics
University of Mumbai
2020 – 2023 Bachelor of Science in Statistics
University of Mumbai
Skills
Technical Skills Soft Skills
Business Intelligence Tools: Power BI (Desktop,
• Effective Communication: Skilled at translating
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Service, Power Query), Tableau technical data insights into actionable business
Data Modeling: Expertise in DAX, calculated
• strategies for stakeholders
columns, measures, and relational modeling Team Collaboration: Experienced in working with
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Programming & Query Languages: Python, R,
• cross-functional teams to deliver cohesive BI
SQL solutions
ETL & Data Integration: Data extraction,
• Critical Thinking: Strong analytical mindset for
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cleansing, transformation, and automation using identifying trends, resolving data challenges, and
SQL and Python proposing optimized solutions
Visualization & Reporting: Designing intuitive
• Adaptability: Agile in learning new tools and
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dashboards and interactive reports based on best technologies to meet dynamic business needs
practices Detail Orientation: Focused on data accuracy,
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Data Handling: Statistical analysis, data
• integrity, and maintaining high-quality deliverables
preprocessing, and integration from diverse sources
(Excel, SharePoint, SQL Server).
Languages
English Hindi Malayalam
Projects
2024 Automated Malaria Detection Using Convolutional Neural Networks
Developed a CNN-based model for malaria detection with high accuracy, preprocessing
large image datasets for training and validation, and presented findings at the National
Research Conference, Jai Hind College, 2024.
2024 Tata Data Visualization: Empowering Business with Effective Insights
Completed a simulation involving creating data visualizations for Tata Consultancy
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Services
Prepared questions for a meeting with client senior leadership
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Created visuals for data analysis to help executives with effective decision making
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2025 British Airways Data Science Job Simulation
Completed a simulation focussing on how data science is a critical component of
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British Airways success
Scraped and analysed customer review data to uncover findings
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Built a predictive model to understand factors that influence buying behaviour.
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2024 Exploring Global Data Using PySpark
Analyzed global socio-economic data using PySpark, deriving insights on education-
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GDP correlation, urbanization trends, fertility rates, and CO2 emissions, and
developed predictive models for country classification.
Visualized key insights using Power BI to create interactive dashboards that
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highlighted global patterns and provided actionable insights.
Publications
Challenges of Buisness Women
Humanities and Social Science Studies, Vol. 12, Issue 1, No. 3, January – June : 2023
Co-authored "Challenges of Businesswomen," analyzing barriers for Indian female entrepreneurs using
interviews and statistical analysis of socio-economic factors.
Certifications
2025 Boston Consulting Group Data Science Job Simulation on Forage
Mumbai, India Completed a customer churn analysis simulation for XYZ Analytics, demonstrating
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advanced data analytics skills, identifying essential client data and outlining a strategic
investigation approach.
Conducted efficient data analysis using Python, including Pandas and NumPy.
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Employed data visualization techniques for insightful trend interpretation.
Completed the engineering and optimization of a random forest model, achieving an
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85% accuracy rate in predicting customer churn.
Completed a concise executive summary for the Associate Director, delivering
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actionable insights for informed decision-making based on the analysis.
2023 Big data Computing
Mumbai, India IIT Kanpur (via NPTEL)
Developed expertise in big data processing, distributed computing with Hadoop and
Spark, and managing large-scale datasets.
