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Data Analyst with 1+ years in data cleaning, visualization, and dashboard creation.
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Assessing your cultural and operational fit
Engineering graduate with a Bachelor's in Civil Engineering and Diploma in Civil Engineering, now transitioning into the Data Analytics domain with specialized training from UpGrad in Data Analytics and Business Analytics. Skilled in Advanced Excel, Power BI, Python, MySQL, and Machine Learning fundamentals, with hands-on experience in data cleaning, visualization, dashboard creation, and analytical problem solving.
A.P. Shah Institute of Technology
Bachelor's · Civil Engineering
August 1, 2021 – June 30, 2024
Muchhala Polytechnic College
Diploma · Civil Engineering
August 1, 2017 – June 30, 2020
SP Singla Construction Pvt. Ltd
Site Engineering Support
January 1, 2023 – December 31, 2023
India
Superstore Sales project
July 1, 2025 – April 1, 2026
Analysed Superstore sales data using Excel to identify high-profit and loss-making product sub-categories across different regions. Performed data cleaning, formatting, filtering, and customer-segment-based worksheet creation for the Corporate segment. Built Pivot Tables and applied conditional formatting to generate region-wise profitability insights and business performance reports.
Saas pipeline project
July 1, 2025 – April 1, 2026
Developed an interactive SaaS Sales Pipeline dashboard using Microsoft Power BI to track sales performance, revenue trends, and customer conversion metrics. Designed visual reports for pipeline analysis, lead tracking, and regional sales performance to support data-driven decision-making.
RSVP movies project
July 1, 2025 – April 1, 2026
Analysed 10,000+ movie records across multiple relational tables to uncover trends in genres, ratings, and revenue performance. Used multi-table joins and aggregations to evaluate high-performing movies and industry trends. Segmented high-performing films (rating ≥ 7) to determine success characteristics.
Movies Data Set
July 1, 2025 – April 1, 2026
Analysed 3,800+ films to identify revenue drivers and audience engagement trends using Python. Performed data cleaning, preprocessing, and missing value treatment, improving dataset quality and analytical accuracy. Conducted Exploratory Data Analysis (EDA) to uncover relationships between budget, gross revenue, IMDb ratings, and user votes.
Professional Certificate Program in Business Analytics & Consulting in association with PwC academy
UpGrad
July 1, 2025 – April 1, 2026
Cultural Fit Analysis
The candidate is transitioning from Civil Engineering to Data Analytics, which demonstrates adaptability and a proactive approach to career change. The projects undertaken, though academic or self-initiated, show a genuine interest in data analysis. However, the lack of professional experience directly within a data analyst role means cultural fit within a typical data team environment is yet to be fully proven. The breadth of skills is good for an entry-level data analyst, but the diversity of projects is somewhat limited to sales and movie data.
Soft Skills & Operational Fit
The candidate's previous internship in Civil Engineering involved data recording and reporting, which suggests a foundation in data accuracy and discipline. Project descriptions highlight analytical thinking, problem-solving, and attention to detail. While these are good indicators, direct experience in a data-centric team environment is limited, and the psychometric test results are not available to assess work attitude or team collaboration.