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Data Science with 1+ years in data analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven professional with a postgraduate degree in Forensic Science and hands-on training in data analytics through an IBM-sponsored Coursera certification. Skilled in data cleaning, analysis, and visualization, with a strong ability to interpret complex datasets and generate actionable insights. Knowledge of compliance principles adds a structured and ethical approach to data handling. Detail-oriented and analytical thinker with a strong foundation in problem-solving, seeking to leverage data skills in a data analyst role.
Srinivas University
MSc · Forensic Science & Criminology
August 1, 2022 – June 30, 2024
Yenepoya University
BSc (Hons) · Forensic Science
August 1, 2019 – June 30, 2022
Kannur Rural Police Station
Internship
January 1, 2022 – December 31, 2022
India
Gender Estimation from Signature Analysis
September 1, 2024 – Present
Studied signature traits to support forgery detection in forensic analysis
Comparative Study of Firewall vs Antivirus
July 1, 2022 – Present
Online survey showing user preference for Antivirus tools for personal security
Python Project for Data Science
IBM through Coursera
April 1, 2026 – April 1, 2026
Python for Data Science, AI & Development
IBM through Coursera
March 1, 2026 – March 1, 2026
Introduction to Data Analytics
IBM through Coursera
February 1, 2026 – February 1, 2026
Excel Basics for Data Analysis
IBM through Coursera
February 1, 2026 – February 1, 2026
Data Visualization and Dashboards with Excel and Cognos
IBM through Coursera
February 1, 2026 – February 1, 2026
Basics of Compliance Management
Alison
July 1, 2025 – Present
Mental Health Studies
Alison
November 1, 2020 – Present
Cultural Fit Analysis
The candidate's background in Forensic Science and Criminology, combined with certifications in data analytics, suggests a unique blend of analytical rigor and an interest in data-driven problem-solving. The academic projects, while not directly aligned with typical data science applications, demonstrate an ability to conduct research and analyze information. The certifications from IBM Coursera show initiative and a desire to transition into a data-focused career. The internship experience, though not technical, indicates exposure to professional environments and adherence to protocols. The candidate's diverse academic background and self-driven learning indicate adaptability and a willingness to acquire new skills, which are positive indicators for cultural fit in a dynamic team. However, the lack of collaborative data science projects might indicate less experience in typical team-based data science workflows.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as attention to detail, communication, teamwork, and adaptability, which are crucial for operational fit in a data-driven environment. The academic projects, though not directly data science focused, show an ability to conduct research and present findings. The internship at a police station indicates exposure to structured environments and documentation, which can translate to operational discipline. However, the lack of practical data science project experience beyond academic certifications means the operational fit for a dedicated data science role is still developing.