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Data Science with less than a year in Machine Learning & Data Processing.
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Data Science student with hands-on experience in data processing, machine learning, and analytics. Skilled in transforming raw datasets into meaningful insights through structured workflows. Interested in data engineering, ETL pipelines, and data integration using structured data.
MOP Vaishnav College for Women
B.Sc Data Science · Data Science
N/A – May 31, 2026
Sri Sankara Vidya Kendra Matriculation Hr. Sec. School
HSC (12th Grade)
N/A – May 31, 2023
Sri Sankara Vidya Kendra Matriculation Hr. Sec. School
SSLC (10th Grade)
N/A – March 31, 2021
VCodez Solutions
Machine Learning Intern
April 1, 2025 – October 31, 2025
India
Automated Data Cleaning & ETL Pipeline
June 1, 2026 – Present
Designed a scalable pipeline to handle missing values, duplicates, outliers, and formatting inconsistencies. Implemented reusable modules for data transformation including scaling, encoding, and normalization. Generated data quality reports to validate datasets before model usage. Performed data integration by combining structured datasets from multiple sources for unified analysis.
View ProjectDecision Intelligence Dashboard
June 1, 2026 – Present
Engineered a full-stack dashboard enabling real-time synchronization between UI and backend systems. Processed and unified datasets from CSV, Excel, and SQL sources for centralized analysis. Applied analytical techniques to identify trends, comparisons, and anomalies. Presented insights using interactive visualizations for decision-making.
View ProjectNext-Gen AI Helpdesk Insights
June 1, 2026 – Present
Developed an AI-driven pipeline to process ticket data using orchestration and structured logging. Applied NLP techniques including preprocessing, sentiment analysis, and clustering. Automated backend workflows for generating structured insights. Visualized issue patterns using heatmaps, sentiment charts, and category distributions.
View ProjectIT Project Performance Dashboard
June 1, 2026 – Present
Modeled and transformed datasets using Power Query for reporting accuracy. Ensured up-to-date dashboards through scheduled data refresh workflows. Worked with structured datasets and performed data integration from multiple sources. Utilized DAX formulas to compute performance metrics and operational insights.
View ProjectMongoDB Basics
MongoDB
June 1, 2026 – Present
Google Cloud Computing
NPTEL
June 1, 2026 – Present
Fundamentals of Generative AI
Microsoft
June 1, 2026 – Present
Microsoft Copilot for Security
Microsoft
June 1, 2026 – Present
Python Developer
Udemy
June 1, 2026 – Present
HTML & CSS
Udemy
June 1, 2026 – Present
Java Training
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications within data science, from performance dashboards to AI helpdesk insights, indicating a broad interest and adaptability. Their engagement in self-learning and certifications (Google Cloud, MongoDB, Generative AI) suggests a growth mindset and willingness to explore new technologies, which aligns well with a dynamic, innovation-driven culture. The target role of Data Science is well-aligned with their educational background and project experience.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through self-learning, participation in workshops, and certifications. Their project descriptions indicate an ability to work on structured workflows and collaborate, which are positive indicators for operational fit. However, the experience is primarily academic and internship-based, suggesting a need for further development in real-world operational contexts.