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Data Analyst with less than a year in SQL, Python, Power BI, and Generative AI, focused on business
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in SQL, Python, Power BI, and Excel with hands-on experience in data cleaning, EDA, dashboard development, and business insight generation. Built analytics projects using real-world datasets and familiar with Generative AI concepts including LLMs and RAG. Passionate about transforming data into actionable insights for data-driven decision-making.
Dr. Babasaheb Ambedkar Technological University
Bachelor of Technology · Electronics & Communication Engineering
January 1, 2022 – January 1, 2026
Indrayani College
HSC
January 1, 2021 – January 1, 2022
Vendor Performance & Inventory Analysis
June 1, 2026 – Present
Analyzed 6 retail datasets across sales, procurement, pricing, and inventory to evaluate vendor performance and profitability. Identified slow-moving stock and excess inventory tying up capital; detected vendor dependency risk from top procurement contributors. Discovered bulk purchasing reduces unit cost up to an optimal threshold; computed profit margin confidence intervals per vendor.
View ProjectHealthcare Waiting List Analysis Dashboard
June 1, 2026 – Present
Developed an interactive healthcare dashboard using Power BI. Cleaned and transformed data using Power Query. Created KPI metrics and DAX-based calculations. Designed interactive charts, slicers, and analytical reports.
View ProjectCustomer Shopping Behavior Analysis
June 1, 2026 – Present
Analyzed customer shopping dataset performed data cleaning, feature engineering (age groups, purchase frequency), and imputed missing values. Used SQL to identify high-value customers, discount impact, and revenue trends across gender, subscription, and product categories. Built an interactive Power BI dashboard visualizing customer segmentation, category performance, and subscription vs non-subscription spending.
View ProjectSQL-Based Music Store Sales Analysis
June 1, 2026 – Present
Analyzed a relational music store database using PostgreSQL to solve business questions on customer behavior and revenue. Wrote queries using Joins, Aggregations, Subqueries, and Group By to identify top spending customers, high-revenue regions, and popular genres.
View ProjectPython and SQL for Data Science
Scaler
June 1, 2026 – Present
Data Analytics Job Simulation – Deloitte
Forage
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
TATA (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (retail, healthcare, customer behavior, music store) and certifications from Deloitte and TATA (Forage) suggest an eagerness to learn and adapt to different business contexts. The focus on practical, real-world problems in projects indicates a results-oriented mindset. However, the lack of professional experience and the ongoing bachelor's degree suggest a need for mentorship and structured team environments.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, business communication, and attention to detail as soft skills. These are crucial for a Data Analyst role, indicating a good operational fit. The project descriptions show an ability to translate data into actionable insights, which aligns well with business objectives.