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Data Science with less than a year in Machine Learning & Data Visualization.
Highly motivated Data Science and Analytics professional with hands-on experience in machine learning, statistical analysis, and data visualization. Skilled in Python, SQL, Tableau, and key libraries like Pandas, NumPy, and Scikit-learn. Proven ability to build and deploy data-driven solutions, including AI-powered applications and predictive models. Passionate about transforming complex datasets into actionable insights to support informed decision-making.
ICT Academy of Kerala
Data Science and Analytics
February 1, 2025 – July 1, 2025
Lord Jegannath College Of Engineering & Technology
MBA · HR & Operations Managemment
July 1, 2022 – May 1, 2024
Mepco Schlenk Engineering College
BE · Mechanical Engineering
August 1, 2017 – June 1, 2021
S.R.K.B.V Matriculation Higher Secondary School, Kulasekharam
XII - Standard
June 1, 2015 – May 1, 2017
S.R.K.B.V. Matriculation Higher Secondary School, Kulasekharam
X - Standard
June 1, 2004 – April 1, 2015
Restaurant Rating Estimator
July 1, 2025 – July 1, 2025
Created a Flask-based AI application to predict restaurant ratings from structured data including cuisine, location, amenities, and pricing. Integrated a Generative AI assistant to deliver actionable business insights such as menu optimization, pricing strategies, and décor enhancements, enabling data-driven decisions for improving restaurant appeal.
Disease Prediction System (Heart, Diabetes, Breast Cancer)
May 1, 2025 – June 1, 2025
This Project aimed to develop a machine learning based system to predict the likelihood of a patient having breast cancer, diabetes and heart disease based on clinical data. The project will integrate models trained on the real-world datasets and deploy them using Streamlit for user-friendly interaction.
Introduction to Data Science
LinkedIn Learning
June 1, 2026 – Present
Statistics
Unstop
June 1, 2026 – Present
Learning Python
LinkedIn Learning
June 1, 2026 – Present
Python in Excel
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's educational background is diverse, including Mechanical Engineering, an MBA, and a current Data Science program, suggesting adaptability and a broad perspective. The personal projects demonstrate initiative and a passion for applying data science to real-world problems, which aligns with a culture of innovation and continuous improvement. The interest in Generative AI also shows a forward-thinking mindset. However, the lack of professional experience makes it difficult to fully assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate lists 'Collaboration and Team Work', 'Curiosity and Continuous Learning', and 'Possesses great analytical and problem solving skills' as personal skills. These align well with the collaborative and problem-solving nature of a Data Analyst role. The project descriptions indicate an ability to translate technical solutions into actionable business insights, which is crucial for operational fit.