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Data Analyst with less than a year in Data Analysis & Machine Learning
I am writing to express my interest in opportunities related to Data Analytics, Data Science, Business Intelligence, and Business Analysis within your organization. I recently completed my Bachelor of Technology in Computer Science and Engineering from Srinivas University Institute of Engineering and Technology with a CGPA of 7.52. In addition, I completed Data Science training at Besant Technologies, where I gained practical experience in Python for data Analysis, SQL, Power BI, Excel, Machine Learning, and Data Visualization. Through my projects, I have developed strong analytical and problem-solving skills.
Srinivas University Institute of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
January 1, 2021 – January 1, 2025
Sri Bhuvanendra PU college
Pre University · PCMB
January 1, 2019 – January 1, 2021
Sri Madh Bhuvanendra High School
Secondary school Education
January 1, 2018 – January 1, 2019
Asthma Data Insights Dashboard
June 1, 2026 – Present
Problem Statement: Health care datasets are complex and difficult to interpret, making it challenging to analyse asthma trends and identify high-risk groups. Solution: Built an interactive Power BI dashboard using cleaned and transformed data. Created DAX measures for KPIs and designed visualizations with filters and slicers for dynamic analysis. Outcome: Enabled clear visualization of asthma trends, improved analytical insights for decision-making, and reduced manual reporting effort. Executed nested queries, aggregation and conditional filters to extract insights.
Loan Approval Prediction-Machine Learning Project
June 1, 2026 – Present
Problem Statement: Manual loan approval processes are time-consuming and inconsistent, making it difficult to accurately assess customer credit risk. Solution: a Logistic Regression model using financial and credit features. Performed data cleaning, handled missing values, engineered DTI ratio, and applied categorical encoding to improve prediction performance. Outcome: Improved loan approval decision accuracy, identified key risk factors influencing approval, and demonstrated how machine learning can support automated credit evaluation.
Employee details
June 1, 2026 – Present
Problem Statement: Analyze employee and department data to identify salary trends, department-wise employee distribution, and top-performing employees using SQL. Solution: Designed relational tables in MySQL and used joins, subqueries, GROUPBY, aggregate functions, and conditional filters to perform data analysis. Output: Generated insights such as average salary by department, employee count, employees earning above average salary, and highest-paid employee details.
Data Science Training
Besant Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of skills relevant to data analysis, including visualization, database querying, and basic machine learning. The target role of 'Data Analyst' aligns well with the skills and project experience. The candidate's enthusiasm for continuous learning and contributing to organizational goals, as stated in the career objective, suggests a positive cultural fit for a growth-oriented environment. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and stated aspirations.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive learning attitude, evidenced by pursuing a Data Science training certification and applying academic knowledge to practical projects. The project descriptions suggest an ability to understand problem statements and propose data-driven solutions. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration skills.