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Data Analyst with less than a year in Python, SQL & 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
Data Analyst with hands-on experience in Python, SQL, Power BI and Excel. Experience with data cleaning, exploratory data analysis (EDA), ETL, and dashboard development. Experienced in utilizing advanced analytics, data visualization and KPI reporting to convert structured and unstructured data into actionable insights. Proficient with statistical analysis, fundamentals of machine learning to identify trends, optimize business performance, drive data driven decisions making Challenge of solving complex business problems with analytics and opportunity to deliver meaningful insights that lead to growth and operational efficiency.
Avadh Collegiate Lucknow
Intermediate
N/A – May 31, 2019
Azad Institute Engineering and Technology Lucknow, India
Bachelor of Engineering · Computer Science and Engineering
N/A – June 30, 2026
Lucknow Polytechnic Lucknow
Diploma · Electrical Engineering
N/A – June 30, 2022
Avadh Collegiate Lucknow
Highschool
N/A – May 31, 2017
Ekana Technologies
Python Internship
June 1, 2025 – July 31, 2025
Lucknow, Uttar Pradesh, India
Breast Cancer Diagnosis using Machine Learning
June 21, 2026 – Present
Built a classification model using 569 patient records and 30+ features to predict malignant vs benign tumors. Performed 100% data cleaning (removed null column, handled missing values) and applied feature scaling to improve model performance. Conducted EDA on 30+ variables, identifying highly correlated features (>0.7 correlation) for better prediction. Trained and evaluated multiple ML models (2–4 algorithms) using accuracy, precision, recall, and F1-score Achieved ~95-98% accuracy in predicting breast cancer diagnosis. Reduced feature space by removing irrelevant columns, improving model efficiency
Zomato Data Analytics Project
June 21, 2026 – Present
Analyzed 148+ restaurant records using Python (Pandas, NumPy) to identify trends in ratings, pricing, and customer behaviour. Built 5+ visualizations (Matplotlib, Seaborn) to uncover patterns in restaurant types, votes, and online vs offline orders. Discovered key insights: 70%+ ratings between 3.5–4.0 and strong preference for ₹300 cost range, with higher ratings for online-order restaurants
Power BI Project
June 21, 2026 – Present
Import data from SQL Database perform Data Processing, DAX Query, Design Dashboard and Insights.
View ProjectVrinda Store Annual Report Project
June 21, 2026 – Present
Done complete analysis of data using Excel, cleaning of data, processing of data and given meaningful insights and conclusion for the same.
Customer Behaviour Analysis
June 21, 2026 – Present
Analyzed 3,900 customer transactions across 50 store locations through Python and PostgreSQL; conduct data cleaning, feature engineering and advance SQL query to discover revenue trend, various of customer segmentations and purchasing behavior. Constructed an interactive Power BI Dashboard facilitating KPI measurement (e.g. average purchase value ($59.76), loyalty distribution (80% loyal customers), and performance by category (~$100K clothing revenue) in order to provide data driven business recommendations.
Python + SQL Project (ETL Project)
June 21, 2026 – Present
Data imported from source, cleaned and transformed in Python, and then loaded into SQL for analytical reporting and querying. To produce insights into business performance, advanced SQL operations (JOINS, GROUP BY, and aggregations) were implemented.
Cultural Fit Analysis
The candidate's project portfolio shows a good breadth of data analysis applications, from customer behavior to healthcare, indicating adaptability and a willingness to tackle different problem domains. The focus on practical, project-based learning aligns with a results-oriented culture. The target role of Data Analyst is well-aligned with the candidate's demonstrated skills in Python, SQL, Power BI, and data manipulation. However, the candidate is still pursuing a Bachelor's degree, which might indicate a more junior cultural fit in a senior-level role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying various data analysis techniques through diverse projects. The project descriptions indicate an ability to translate data into business insights and recommendations. However, the lack of completed psychometric or English tests makes it difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.