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Data Science with less than a year in Data Science & Machine Learning
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Assessing your cultural and operational fit
M.Sc. Statistics graduate with a certified Data Science course, skilled in Python, SQL, Tableau, and R. Possesses a strong foundation in machine learning and data visualization. Seeks Data Science/Analytics roles to translate data into actionable insights, demonstrated through projects in COVID-19 analysis, face recognition, and customer segmentation.
Govt College Malappuram
M.sc Statistics · Statistics
August 1, 2022 – June 30, 2024
GPM Govt College Manjeshwar
B.Sc Statistics · Statistics
August 1, 2019 – June 30, 2022
Ai Variant
Data Science Intern
April 1, 2026 – Present
Bengaluru, Karnataka, India
Govt College Malappuram
Lecturer (Statistics)
June 1, 2025 – March 1, 2026
Malappuram, Kerala, India
Kuniya College of Arts and Science
Lecturer (Statistics)
August 1, 2024 – April 1, 2025
Kāsaragod, Kerala, India
Analysis of Covid-19 cases in kerala.
June 22, 2026 – Present
Performed statistical analysis on COVID-19 data from Kerala, focusing on infection trends and recovery rates. Used time series analysis and predictive modeling to forecast outbreaks. Provided insights for resource optimization and public health strategies
Face Recognition based Attendance System using Machine learning.
June 22, 2026 – Present
Designed and implemented an automated attendance system using facial recognition. Applied machine learning models for real-time face detection and recognition, ensuring high accuracy. The system streamlined attendance tracking and enhanced security. It was optimized for scalability and diverse environments.
Customer segmentation Analysis:
June 22, 2026 – Present
Customer Segmentation Analysis using K-Means: Performed data preprocessing and applied K-Means clustering to segment customers based on purchasing behavior. Developed end-to-end ML workflows from data processing to deployment.
Certified in Data Science
ExcelR, Bangalore
January 1, 2025 – Present
Power BI, Data Science, Introduction to AI & NLP
Infosys Springboard
August 1, 2024 – Present
Excel, SQL, Python, Data Analysis
DataCamp
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics, coupled with certifications and projects in Data Science, aligns well with a data-driven culture. The diversity of projects (COVID-19 analysis, facial recognition, customer segmentation) demonstrates adaptability and interest in various applications of data science. The lecturer experience suggests an ability to collaborate and share knowledge, which is beneficial for team environments. The current internship indicates a desire for practical industry experience.
Soft Skills & Operational Fit
The candidate's experience as a lecturer suggests strong communication and presentation skills, which are valuable for explaining complex data insights. Project descriptions indicate an ability to work on end-to-end ML workflows and optimize systems for scalability, pointing to a practical and problem-solving mindset. The academic background and certifications show a commitment to continuous learning and a structured approach to problem-solving.