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Data Analyst with less than a year in Data Analysis & Visualization
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Assessing your cultural and operational fit
Analytical and detail-oriented Data Analyst with hands-on experience in data collection, cleaning, analysis, reporting, and dashboard development through academic and certification-based projects. Proficient in Microsoft Excel, SQL, Power BI, and Python for transforming complex datasets into actionable business insights. Skilled in identifying trends, interpreting data, creating visualizations, and ensuring data accuracy. Strong problem-solving, communication, and analytical abilities with a passion for supporting data-driven business decisions.
Baselius College
Master of Science · Physics
August 1, 2022 – June 30, 2024
ST. Berchmans College
Bachelor of Science · Physics
August 1, 2019 – June 30, 2022
Don Bosco Higher Secondary School
Higher Secondary Education · Computer Science
N/A – May 31, 2019
Don Bosco Central School
SSLC Education
N/A – May 31, 2017
Kerala Rainfall Analysis
June 1, 2026 – June 1, 2026
Collected, cleaned, validated, and analyzed 118 years of rainfall data to identify seasonal trends and flood-year patterns. Collected, cleaned, validated, and organized large datasets to improve reporting accuracy. Developed interactive dashboards, Pivot Tables, and visual reports to communicate key findings effectively. Generated actionable insights through trend analysis and data visualization techniques. Verified data consistency and identified trends across multiple time periods. ProjectLink:https://docs.google.com/spreadsheets/d/1kFYGX85iHOGEjEfOV5FCmlh3FgBIS60/edit?usp=drive_link&ouid=113986547145973839966&rtpof=true&sd=true
Data Analyst Capstone Project
February 1, 2026 – February 1, 2026
Conducted end-to-end data analysis workflow including data cleaning, transformation, and exploratory data analysis. Reviewed and corrected inconsistent or incomplete records to improve data quality. Prepared analytical reports and visualizations using Excel and Python tools. Implemented data preprocessing techniques and handled missing/inconsistent data. Identified trends, patterns, and performance indicators through structured analysis of large datasets. Built visual representations of large datasets to highlight patterns and performance indicators. Applied foundational concepts in data science and generative AI applications.
Tailored Growth of Lead-Free Perovskites for Photonic Applications
August 1, 2024 – August 1, 2024
Conducted research on the synthesis and characterization of copper-based lead-free layered perovskites for photonic and optoelectronic applications. Synthesized copper-based lead-free layered perovskites for photonic and optoelectronic applications. Investigated bandgap tuning, crystallinity, and moisture effects on optical properties. Worked with precision instruments and measurement equipment, ensuring calibration accuracy and reliable outputs. Prepared technical documentation, experimental reports, and research presentations based on findings.
Inventory Analytics
Rutgers University
June 1, 2026 – Present
Supply Chain Logistics
Rutgers University
June 1, 2026 – Present
IBM Data Analyst Professional Certificate
Coursera
June 1, 2026 – Present
Meta Data Analyst Professional Certificate
Coursera
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Google Advanced Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Microsoft Power BI Professional Certificate
Coursera
June 1, 2026 – Present
Skill Training in New & Renewable Energy
Bharat Social Solutions(Karukachal)
June 1, 2026 – Present
NSS Certificate – Social Engagement & Volunteering
SB College Changanassery
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Physics, combined with numerous data analytics certifications and projects, demonstrates a strong drive for learning and career transition. The projects, though academic, show initiative in applying data analysis techniques to real-world (e.g., rainfall analysis) and capstone scenarios. The 'Tailored Growth of Lead-Free Perovskites' project, while not directly data analysis, shows research capabilities and precision, which are transferable. The breadth of certifications indicates a proactive approach to skill development, aligning with a culture of continuous improvement. However, the lack of professional experience might require additional mentorship to integrate into a corporate environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, attention to detail, and team collaboration as soft skills. These are highly relevant for a Data Analyst role, suggesting a good operational fit. The project descriptions also reflect these skills, particularly in data validation, trend analysis, and report generation.