Data Analytics Intern with less than a year in Data Analytics & Visualization
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Assessing your cultural and operational fit
MCA graduate specializing in Data Analytics. Skilled in SQL, Power BI, Python, and Exploratory Data Analysis (EDA), with hands-on experience in data cleaning, transformation, and visualization through real-time projects. Proven ability to derive actionable insights and support data-driven decision-making. Highly analytical, detail-oriented, and passionate about solving real-world problems using data.
KIIT Deemed to be University
Master of Computer Applications
January 1, 2024 – January 1, 2026
KIIT Deemed to be University
Bachelor's in Computer Science
January 1, 2021 – January 1, 2024
Gonasika Higher Secondary School
Council of Higher Secondary Education
N/A – January 1, 2021
Rabindra Vidya Niketan
Central Board of Secondary Education
N/A – January 1, 2019
Talentele
Data Analytics Intern
October 1, 2025 – Present
Bhubaneshwar, Odisha, India
Customer Shopping Behavior
October 1, 2025 – June 1, 2026
Cleaned and transformed raw customer datasets using Python (Pandas) to improve data quality and consistency. Conducted exploratory data analysis (EDA) to identify customer purchasing patterns and trends. Developed optimized SQL queries for data extraction, aggregation, and transformation. Built an interactive Power BI dashboard with KPIs, filters, and visualizations to analyse revenue and customer segmentation.
View ProjectRoad Accident Analysis
October 1, 2025 – June 1, 2026
Analysed 195,000+ accident records to identify trends in casualty rates, severity, and road conditions. Performed data pre-processing and transformation using Python to ensure accuracy and usability. Designed advanced SQL queries using JOINs, aggregations, and CASE statements for KPI generation. Created an interactive Power BI dashboard with maps and visual analytics to highlight high-risk areas.
View ProjectCertificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analytics skills to real-world scenarios (customer behavior, road accidents). Their academic background in Computer Science and current pursuit of a Master's in Computer Applications, combined with an internship, indicates a strong commitment to the field. The diversity of projects and the listed soft skills suggest a candidate who is adaptable and team-oriented, aligning well with a collaborative work culture.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as teamwork, time management, adaptability, and commitment, as listed in their resume. Their project descriptions highlight collaboration and problem-solving, which are crucial for operational fit in a data analytics role. The internship experience further reinforces their ability to work in a professional environment and contribute to business intelligence workflows.