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Data Analyst with 1+ years in Machine Learning & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented aspiring Data Analyst with a strong foundation in Python, SQL, Excel, Power BI, machine learning, and data visualization. Experienced in analyzing datasets, building dashboards, generating reports, and extracting actionable insights through academic and internship projects. Skilled in trend analysis, KPI monitoring, business reporting, data validation and supporting data-driven decision-making. Eager to leverage analytical and problem-solving skills to contribute to business growth and operational efficiency.
ILAHIA COLLEGE
Bachelor Of Technology · Computer Science
August 1, 2019 – May 1, 2023
Govt School, KARAPPUZHA
Higher Secondary · Bio Maths
July 1, 2017 – March 1, 2019
TECHOLAS TECHNOLOGIES
Data Science Intern
October 1, 2024 – February 1, 2026
India
Mobile Phone Market Insights Dashboard Using Power BI
June 19, 2026 – Present
Built an interactive Power BI dashboard to analyze mobile phone sales and brand performance. Used Power Query for data cleaning and DAX for KPIs. Created KPI measures (sales, top brands, price categories) using DAX. Highlighted key trends to support retail and telecom insights.
Water Potability Prediction Using Machine Learning
June 19, 2026 – Present
Designed a machine learning model to predict the potability of water based on physicochemical properties such as pH, hardness, solids, and chloride. Performed data cleaning, feature engineering, and exploratory data analysis.
Data Science Certification
TECHOLAS TECHNOLOGIES
October 1, 2024 – Present
Machine Learning with Python
IBM
April 1, 2023 – Present
Python for Data Science Al and Development
IBM
December 1, 2021 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of data analysis skills. The 'Mobile Phone Market Insights Dashboard' project shows business intelligence aptitude, while the 'Water Potability Prediction' project highlights machine learning and data science interests. The internship as a Data Science Intern further aligns with a data-driven culture. The breadth of skills listed (Python, SQL, Power BI, ML, NLP, Web Scraping) indicates a versatile and curious individual, which is a good fit for dynamic analytical environments. However, the experience is primarily academic and internship-based, suggesting a need for more exposure to real-world business challenges and team dynamics.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, time management, adaptability, presentation skills, and attention to detail as soft skills. These are generally well-aligned with a Data Analyst role, which requires strong analytical thinking, clear communication of insights, and collaborative work. The academic projects and internship description suggest practical application of these skills, particularly in problem-solving and data presentation.