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Data Analyst with less than a year in Power BI, SQL, Python, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Power BI, Excel, MongoDB, and Machine Learning with internship experience in data cleaning, preprocessing, and dashboard development using Power BI (DAX, slicers, KPIs). Proficient in SQL querying, ETL workflows, and exploratory data analysis to generate business insights.
MVJ College of Engineering, Bangalore
MBA
August 1, 2023 – June 30, 2025
Vasavi Degree College
B.Com
August 1, 2020 – June 30, 2023
Apponix Technologies
Data Analyst Intern
January 1, 2026 – April 1, 2026
India
Adult Income Prediction and Data Analysis using Python
June 1, 2026 – Present
Cleaned and preprocessed dataset by handling missing values, inconsistencies, and encoding categorical variables for accurate analysis; Performed feature selection and built Machine Learning classification models using Logistic Regression and Random Forest algorithms; Trained and evaluated models using an 80/20 train-test split, achieving 80% prediction accuracy; Applied data preprocessing and analysis techniques to improve model performance and prediction reliability; Identified key demographic factors influencing income levels through data analysis and visualization
View ProjectFIFA World Cup Match Analytics Dashboard using Power BI
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze FIFA World Cup data to generate insights on team performance, goal trends, stadium attendance, and match distribution; Built KPI dashboards using DAX measures for Total Matches, Total Goals, Average Goals, and Attendance analysis; Performed data cleaning, transformation, and data modeling using Power Query for structured reporting; Designed dynamic visualizations including yearly goal trends, Top-N stadium analysis, home vs away goal comparison, and stage-wise match insights; Implemented interactive slicers and filters for Year, Match Stage, Teams, and Host City to support interactive data exploration; Created geographical and influencer-based analytics using map visuals and decomposition tree to identify factors influencing total goals
View ProjectSQL and MongoDB Business Data Analysis
June 1, 2026 – Present
Created dynamic visualizations and implemented normalized SQL schemas (employee, payroll, retail) and executed multi-table JOINs and subqueries to derive salary trends, workforce distribution, and customer insights on business data; Applied constraints (PK, FK, UNIQUE) and optimized queries using filtering, grouping, and sorting for accurate and efficient data retrieval; Developed MongoDB queries using ($gt, $lt, $in, $elemMatch) to handle semi-structured restaurant data; Designed aggregation pipelines ($group, $avg, $max) to analyze performance metrics; Generated business insights through analysis of both structured (SQL) and unstructured (MongoDB) datasets
Data Analyst Internship Certification
Apponix Technologies
April 1, 2026 – Present
Data Analytics Training Program
Apponix Academy
January 1, 2025 – Present
SQL & MS Excel Certifications
Simplilearn
January 1, 2024 – Present
Soft Skills Program
Unnati
January 1, 2023 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data analysis through diverse personal projects covering ML, BI dashboards, and database analysis. The internship experience and certifications further reinforce this focus, indicating a proactive approach to skill development. The breadth of tools and technologies used (Python, SQL, Power BI, MongoDB, AWS basics, ML frameworks) suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic data team. The projects are well-aligned with the target role of Data Analyst.
Soft Skills & Operational Fit
The candidate's resume highlights participation in a 'Soft Skills Program,' suggesting an awareness and effort towards developing interpersonal and professional skills. The project descriptions indicate an ability to work on structured analytical tasks, which aligns with operational requirements for a Data Analyst role. However, specific examples of teamwork, problem-solving under pressure, or communication in a professional setting are not explicitly detailed.