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Data Analyst with less than a year in Data Analytics, Business Intelligence, and Machine Learning.
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Assessing your cultural and operational fit
MBA Finance graduate with strong analytical and problem-solving skills, complemented by hands-on experience in Data Analytics, Business Intelligence, and Machine Learning. Proficient in Python, SQL, Excel, Power BI, and Tableau for data analysis, visualization, and reporting. Experienced in developing dashboards, performing exploratory data analysis, and generating business insights from large datasets. Seeking an opportunity to apply analytical skills in a growth-oriented organization.
Danavantari Institute of Management Science
MBA · Finance
N/A – June 30, 2025
Suryodaya School
SSC
N/A – May 31, 2018
Vivekavardhani Degree College for women
Bachelor's Degree · Computer Science (MPC)
N/A – June 30, 2023
Sri Chaitanya Junior College
Board of Secondary Education
N/A – May 31, 2020
Amazon Sales Data Analysis
June 1, 2026 – Present
Performed end-to-end data analysis on Amazon order data to identify sales trends, customer behavior, and product performance. Conducted data cleaning, handling of missing values, and exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib, Seaborn). Analyzed KPIs such as Total Sales, Total Orders, Average Order Value, Category-wise Sales, and Order Status Distribution. Created interactive dashboards in Power BI with slicers, filters, and drill-down features for business insights. Generated actionable recommendations to improve sales performance and customer satisfaction.
MBA Project #1 – Online Banking with reference to Kotak Bank
June 1, 2026 – Present
Conducted a detailed study on customer preferences, satisfaction levels, and awareness regarding online banking services. Analyzed financial and technological aspects impacting customer adoption of online services. Proposed strategies to improve digital banking experience and service efficiency.
HR Analytics Dashboard (Power BI)
June 1, 2026 – Present
Developed an interactive dashboard to analyze employee attrition. Created KPIs such as Attrition Rate, Employee Count, and Average Salary. Used DAX formulas and slicers for dynamic filtering.
Sales Data Analysis (Excel & Tableau)
June 1, 2026 – Present
Cleaned and transformed raw sales data. Built visualizations including bar charts, line charts, and pie charts. Identified trends and provided actionable insights.
Python Data Analysis Project
June 1, 2026 – Present
Performed Exploratory Data Analysis (EDA) using Pandas. Handled missing values and cleaned datasets. Visualized trends using Matplotlib.
Employability Skill Programme
Unknown
June 1, 2026 – Present
Qualified in all India FIITJEE exam
FIITJEE
June 1, 2026 – Present
Hindustan Coco-Cola Beverages Pvt.Ltd.
Hindustan Coco-Cola Beverages Pvt.Ltd.
June 1, 2026 – Present
Qualified in all India CV Raman talent test in state level
CV Raman
June 1, 2026 – Present
Qualified for TCS NQT with 71.14%
TCS
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (e-commerce, HR, banking). The pursuit of an MBA in Finance alongside a Bachelor's in Computer Science indicates a desire to bridge technical skills with business understanding, which aligns well with roles requiring both analytical rigor and strategic insight. The breadth of tools and techniques learned (Python, SQL, Power BI, Tableau, various ML algorithms) suggests adaptability and a continuous learning mindset. The candidate's profile indicates a desire to apply analytical skills in a growth-oriented organization, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong analytical and problem-solving skills, with a focus on extracting insights and providing actionable recommendations. The academic background in both Computer Science and Finance suggests a multidisciplinary approach, which is beneficial for understanding business contexts in data analysis. The candidate appears to be detail-oriented, as evidenced by data cleaning and transformation tasks in projects. However, without direct work experience, it's difficult to assess operational fit in a team environment or stress handling capabilities.