Data Analyst with less than a year in Python, SQL, Excel, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Certified Data Analyst with a B.Sc. in Zoology (2025) and certifications in Data Analytics. Skilled in Python, SQL, Excel, and Power BI with strong analytical, statistical, and research abilities. Adept at transforming data into actionable insights and eager to contribute to data-driven decision-making in an entry-level Data Analyst role.
Anugrah Narayan Singh College, Patliputra University
M.Sc. Zoology (Hons) · Zoology
August 1, 2025 – June 30, 2027
Anugrah Narayan Singh College, Patliputra University
B.Sc. Zoology (Hons) · Zoology
August 1, 2022 – June 30, 2025
CPSS High School, BSEB Board
Class XII (Intermediate)
N/A – May 31, 2021
DAV Public School, CBSE Board
Class X (Matriculation)
N/A – May 31, 2019
HR Analytics Dashboard
January 1, 2026 – June 1, 2026
Analyzed HR dataset of 450 employees to identify attrition patterns and workforce trends Overall attrition rate found to be 20.7% with 93 employees having left the organization Discovered Sales Executive role had highest attrition (58 employees) using Job Role wise breakdown Found employees aged 26-35 most likely to leave; salary slab below 5K showed highest attrition (43 employees) Built interactive Power BI dashboard with KPI cards, Donut chart (Attrition by Education), Bar charts, Area chart and Matrix visual with department-wise slicer (HR, R&D, Sales) Average employee age: 36.58 years | Average salary: $6.97K | Average tenure: 7.3 years
Superstore Sales Analytics Dashboard
January 1, 2014 – December 31, 2017
Performed end-to-end data analysis on a US retail superstore dataset with 9,993 records spanning 2014–2017 Cleaned and imported CSV data into MySQL; used STR_TO_DATE() for date transformation and resolved encoding issues Wrote 10+ SQL queries for Sales, Profit, Discount impact, Region-wise and Year-wise trend analysis Identified loss-making sub-categories (Tables, Bookcases) and discovered high discounts lead to negative profit Built an interactive Power BI dashboard with KPI cards (Total Sales: $733K, Profit: $286K, Orders: 5,009), Bar, Line, Pie charts and Scatter plot Found Technology category most profitable (15.6% margin) and Consumer segment largest (51% of sales)
Certification in Data Analytics
Unknown
June 1, 2026 – Present
Python Programming for Data Analysis (Pandas, NumPy, Matplotlib)
Unknown
June 1, 2026 – Present
SQL Database Querying and Management
Unknown
June 1, 2026 – Present
Data Visualization using Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, which aligns with a culture of continuous improvement. The diversity of projects (retail sales and HR analytics) shows a breadth of interest in applying data analysis across different domains. The stated hobbies of working with datasets and reading tech blogs further support a genuine interest in the field. However, the lack of professional experience means cultural fit is primarily based on self-driven learning and project work.
Soft Skills & Operational Fit
The candidate highlights an analytical mindset, problem-solving abilities, being a quick learner, and team collaboration as soft skills. These are valuable for a Data Analyst role. The project descriptions show an ability to translate data into business insights, which is crucial for operational fit. However, without actual work experience, the practical application of these soft skills in a professional setting is unproven.