Data Analyst with 1+ years in Data Analysis & Mechanical Engineering
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Assessing your cultural and operational fit
Hardworking individual eager to learn and contribute to organizational success while developing skills in a professional environment. Possesses a strong foundation in data science, mechanical engineering, and customer service, with practical experience in data analysis, database management, and automotive service advising. Proven ability to manage multiple tasks, ensure timely service delivery, and maintain customer satisfaction.
Chandigarh University
MSc · Data Science
January 1, 2026 – Present
University of Kashmir
Bachelor · Mechanical Engineering
August 1, 2018 – June 1, 2023
JAWA YEZDI Motorcycles
Service Advisor
September 1, 2024 – Present
India
Jamkash Suzuki
Service Advisor
October 1, 2023 – September 1, 2024
India
Bachelor's degree project: Portable CNC laser Engraver and Cutter
June 21, 2026 – Present
The aim of this project was to develop a low cost efficient CNC machine that could perform the working of cutting and engraving.
Data analytics project: Top 10 board games from 2014 - 2020
June 21, 2026 – Present
Identify the top 10 board games from each year.
Amazon Sales analysis
June 21, 2026 – Present
Find sales trends: month-wise, year-wise, yearly- month wise.
Heart disease diagnostic analysis
June 21, 2026 – Present
Find necessary information about heart disease by rate,heart disease by gender, heart disease by age and heart disease by gender and age, by creating dashboards.
Sales Data Analysis
June 21, 2026 – Present
Analyse sales data to identify trends, which is the best month for sale.which city has maximum orders.what time should we display advertisements to maximize for product purchase. Top selling product.
HR Analytics
June 21, 2026 – Present
Tasks to perform. 1.Data Cleaning. 2.Data visualization.
Python for Data Science and Machine learning
Udemy
May 1, 2024 – Present
Google Data analytics
Coursera
September 1, 2023 – Present
Cultural Fit Analysis
The candidate shows initiative through self-directed learning (certifications) and personal projects, which aligns with a proactive learning culture. The diversity of personal projects (sales, healthcare, HR) indicates a broad interest in applying data analysis across different domains. However, the lack of professional data analysis experience means their ability to collaborate in a data team or adapt to specific organizational data workflows is unproven.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills like problem-solving, self-motivation, decision-making, time management, attention to detail, and teamwork. While these are valuable, their professional experience as a Service Advisor does not directly demonstrate operational fit for a data-intensive role. The project descriptions are brief, making it difficult to assess the depth of their analytical process or operational understanding in a data context.