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Data Analyst with less than a year in Python & SQL
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BSc IT graduate (A+) with hands-on experience building end-to-end data solutions from raw data cleanup to executive-level Power BI dashboards. Skilled in Python, SQL, and Machine Learning, with proven ability to uncover business insights from datasets of 40K+ records. Built 4 independently developed projects covering revenue analytics, customer segmentation, predictive modelling, and healthcare ML each with measurable outcomes. Seeking a Data Analyst role where I can apply SQL and Power BI to solve real business problems and grow within a data-driven team.
B.K. Birla College, Kalyan
Bachelor of Science in Information Technology (BSc IT) · Information Technology
N/A – June 30, 2026
Shri M.D. Dedhia English High School
Secondary School Certificate (SSC)
N/A – May 31, 2021
B.K. Birla College, Kalyan
Higher Secondary Certificate (HSC)
N/A – May 31, 2023
Predicting Heart Disease Using KNN
January 1, 2026 – June 1, 2026
Developed a KNN model to predict heart disease likelihood from patient health data; performed EDA to understand feature relationships and distributions. Preprocessed data (missing values, feature scaling, categorical encoding) and evaluated performance using accuracy score, confusion matrix, and cross-validation.
View ProjectExecutive Business Performance & Revenue Leakage Dashboard
January 1, 2026 – June 1, 2026
Designed a multi-page Power BI dashboard tracking $1M total revenue, $274K total profit, and 4.36% MoM growth across 4 regions and 3 product categories. Built a Revenue Leakage Detection module identifying $4.25K estimated leakage and $63,744 refund loss; pinpointed root causes including damaged goods, customer dissatisfaction, and late delivery.
Customer Behaviour Analysis
January 1, 2026 – June 1, 2026
Engineered 10 advanced SQL queries (CTES, Window Functions, Subqueries) to segment 3,900+ customers into loyalty tiers and rank top-performing products, surfacing insights on subscription impact and discount behaviour. Revealed that subscribed customers outspend non-subscribers in average spend and total revenue; findings actionable for retention and upsell strategy. Delivered a Power BI dashboard tracking revenue by gender, age group, and category for data-driven business decisions.
View ProjectUSA House Price Prediction using Linear Regression
January 1, 2026 – June 1, 2026
Analyzed and visualized 5,000 US housing records to identify key price-driving features such as square footage, number of bedrooms, and location. Built a Multiple Linear Regression model achieving 92% accuracy, validated using R² score and residual diagnostics; reduced MAE to $1,00,132. Automated end-to-end preprocessing pipeline - missing values, outlier treatment, feature scaling - reducing manual effort by 60% and improving model stability.
View ProjectTata Group Data Analytics Job Simulation
Forage
June 10, 2026 – Present
Data Analysis & AI: From Data to Intelligent Decisions 2026
Udemy
June 1, 2026 – Present
Introduction to MS Excel
Simplilearn
June 1, 2026 – Present
Python for Data Science
IBM Cognitive Class
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering revenue analytics, customer behavior, and predictive modeling, indicates a broad interest in data analysis applications. The 'Tata Group Data Analytics Job Simulation' suggests an interest in real-world business challenges and a willingness to engage with industry-relevant scenarios, including AI-powered analytics and ethical AI principles. This breadth of exposure and continuous learning aligns well with a dynamic, data-driven team culture. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through various certifications and personal projects. Their project descriptions indicate an ability to translate data into business insights, which is crucial for an operational data analyst role. The focus on measurable outcomes in projects suggests a results-oriented mindset. However, without direct work experience, the ability to collaborate in a team or handle workplace stress cannot be fully assessed.