Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in IoT Training & 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
Detail-oriented Data Analytics professional with hands-on experience in SQL, Python, Excel, and Power BI. Skilled in analyzing complex datasets, generating actionable insights, and supporting data-driven business decisions. Continuously learning modern analytics tools and industry best practices.
Mumbai University
Masters of Science · Information Technology
August 1, 2021 – June 30, 2023
SDSM college, Mumbai University
Bachelor of Science · Information Technology
August 1, 2018 – June 30, 2021
S.D.S.M.Jr.College,PALGHAR Maharashtra State Board
HSC Science
June 1, 2016 – May 31, 2018
S.D.VARTAK VIDYAYLAY, BOISAR, Maharashtra state
SSC
N/A – May 31, 2016
Skillstree Pvt. Ltd.
AI Trainer
September 1, 2024 – Present
India
EDA on Gold Prices Dataset
June 22, 2026 – Present
Performed end-to-end exploratory data analysis including data cleaning, transformation, and visualization to identify trends and relationships.
Laptop Dataset Analysis Dashboard (Power BI)
June 22, 2026 – Present
Built an interactive dashboard analyzing multiple laptop brands to extract business insights.
Masters in Data Analytics & Science with AI
ITVedant Education Pvt. Ltd., Mumbai
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and certification show a clear interest in data analytics and AI, aligning with a data-driven culture. The personal projects demonstrate initiative and a proactive learning attitude. However, the professional experience is primarily in training, which is a different domain than direct data analysis. This might require a cultural adjustment to a role focused on delivering analytical insights rather than teaching concepts.
Soft Skills & Operational Fit
The candidate's experience as an AI Trainer suggests an ability to communicate technical concepts, troubleshoot, and evaluate performance, which are valuable soft skills. The role also implies a structured approach to learning and delivery. However, the current role is not directly operational in data analysis, which might require a transition period to adapt to a typical data analyst workflow.