Help & Supportcareers@gravityer.com
Data Science with 1+ years in Business Analytics & Data Science
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 MBA graduate specializing in Business Analytics & Data Science with hands-on experience in SQL, Excel, Python, and Power BI. Skilled in data analysis, dashboard development, and transforming raw data into actionable insights. Experienced in data cleaning, EDA, and visualization. Seeking an opportunity to apply analytical skills and grow as a data professional while contributing to data-driven solutions.
Bengal Institute of Business Studies – Vidyasagar University
PGP + MBA · Business Analytics & Data Science
August 1, 2024 – June 1, 2026
Howrah Ramakrishna Adarsha Balika Vidyalaya
12th · Science
N/A – May 31, 2019
Shibpur Hindu Girls' High School
10th
N/A – May 31, 2017
Calcutta Institute of Engineering and Management – MAKAUT
B. TECH · Information Technology
N/A – June 30, 2023
West Bengal Electronics Industry Development Corporation Limited (WEBEL)
Data Science Intern
July 1, 2025 – January 1, 2026
West Bengal, India
CodeAlpha
Power BI Intern
April 1, 2025 – May 1, 2025
India
Blinkit Sales Analysis Dashboard
June 1, 2026 – Present
Analyze Blinkit sales data to understand how product types, outlet size, and location impact overall sales performance. Found that Supermarket Type 1 and Tier 3 locations generate higher sales; fruits, snacks, and household items are top-performing categories. Built an interactive Power BI dashboard with key metrics, KPIs and filters to help identify top performing products and support better business decisions.
View ProjectCustomer Trend Analysis
June 1, 2026 – Present
Analyze customer purchasing behavior to understand how demographics, subscription status, discounts, and product categories impact overall sales and revenue generation. Found that clothing drives highest revenue, followed by accessories and footwear; non-subscribers contribute more revenue; discounts show limited impact on spending; size M is most preferred; top items include sweaters, sunglasses, and socks; shipping type has minimal effect on purchase value. Developed an end-to-end solution by performing data cleaning and EDA using Python, extracting key business insights using SQL, and building an interactive Power BI dashboard with KPIs, filters, and visualizations to support data-driven decision-making and customer targeting strategies.
Sales Performance and Profitability Insights: Pivot Analysis Project
June 1, 2026 – Present
Analyze how salary, age, and employee levels impact sales revenue, profit margins, and product performance across regions. Found patterns showing that higher-level employees often handle more profitable or high-priced products; revealed age-wise and country-wise sales efficiency and bonus effects. Built interactive Pivot Tables and Charts to compare sales, bonuses, profit margins, and employee contributions; used Slicers to filter by age, product type, country, and employee level for deeper analysis.
Machine Learning with Python
IITK
June 1, 2026 – Present
Business Analytics and Data Science
IBM
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Data Science 101
Cognitive Class
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analysis to customer trend analysis and HR analytics, indicates a broad interest in applying data science across various business domains. The internship experience at WEBEL and CodeAlpha, coupled with personal projects, shows initiative and a proactive approach to learning and applying skills. The target role of Data Science aligns well with the candidate's educational background and practical experience, suggesting a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, storytelling, team collaboration, and adaptability, which are crucial for a data science role. Project descriptions indicate an ability to translate technical findings into business insights, suggesting good operational fit for roles requiring data-driven decision-making. However, without direct assessment, the depth of these soft skills cannot be fully validated.