Open to opportunities

SHREYAS V

@shreyasv1

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Data Analyst focused on Python/SQL analytics and Power BI dashboards that drive clear decisions.

India

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What I'm looking for

I’m looking for a remote data analytics role where I can contribute immediately—building dashboards, tracking KPIs, and turning Python/SQL analysis into clear insights for both technical and non-technical teams.

I’m a fresh Computer Science & Engineering graduate with hands-on internship experience across data collection, cleaning, analysis, and dashboard creation. I build end-to-end analytics work that supports KPI tracking, trend analysis, data visualisation, and structured reporting—bridging technical details to stakeholder-ready insights.

In my Data Science internship, I delivered dashboards and summary reports using Matplotlib, Seaborn, and Plotly, while tracking KPIs like accuracy, F1-score, RMSE, and MAE across classification, clustering, NLP, and forecasting workflows. I’m also comfortable working with ML/NLP pipelines (TF-IDF, NLTK, Scikit-learn, ARIMA) and I’ve created projects like sales forecasting, fake news detection, and predictive student performance systems. Alongside analytics, my cybersecurity internship strengthened my attention to data documentation and incident-ready reporting, and I’m ready to contribute immediately in a remote data analytics environment.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Glowlogics Solutions Pvt. Ltd.

Feb 2026 - May 2026 (3 months)

Collected and analysed structured datasets across multiple analytics projects, performing data cleaning, preprocessing, and validation. Built dashboards and summary reports and tracked KPIs (accuracy, F1-score, RMSE, MAE) with documented workflows for reproducibility.

Data Collection Data Cleaning data preprocessing Data Quality KPI Tracking Dashboards Matplotlib SeaBorn Plotly Classification Clustering NLP Forecasting Workflow Documentation

Cybersecurity & Ethical Hacking Intern

Glowlogics Solutions Pvt. Ltd.

Nov 2025 - Feb 2026 (3 months)

Analysed network traffic logs to identify attack vectors and produced structured incident summary reports. Developed multiple security tools to support practical security assessment workflows.

Attack Vectors Incident Reports Vulnerability Scanning

AICTE Intern

TechSaksham (Microsoft & SAP) | Edunet Foundation

Feb 2025 - Apr 2025 (2 months)

Managed an end-to-end ML data pipeline (collection, cleaning, preprocessing, and feature scaling) for models predicting heart disease and diabetes risk. Ensured data privacy and ethics compliance and presented findings to programme stakeholders.

Data Pipelines Data Collection Data Cleaning data preprocessing Scaling Machine Learning Medical Risk Prediction Data Privacy Ethics & Compliance

Education

Degrees, certifications, and relevant coursework

Sri Venkateshwara College of Engineering

Bachelor of Engineering (B.E.), Computer Science & Engineering

Grade: CGPA: 7.97/10

Pursuing a B.E. in Computer Science at Sri Venkateshwara College of Engineering (VTU) with a CGPA of 7.97/10. Completed relevant coursework and delivered internship and project-based analytics work.

Brindavan Group of Institutions

Pre-University, Pre-University (PCMC)

Grade: 65%

Completed Pre-University (PCMC) at Brindavan Group of Institutions with 65%. Built foundational knowledge used in later technical learning.

Sri Venkateshwara Central School

CBSE Class 10, Secondary Education

Grade: 69.1%

Completed Secondary education (CBSE – 10th) at Sri Venkateshwara Central School with 69.1%. Achieved a strong academic foundation prior to Pre-University studies.