Data Science with less than a year in Python, SQL & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated student pursuing a Bachelor's in Data Science with a strong foundation in programming languages like Python and SQL. Possessing practical experience in data analysis, ETL, and visualization using tools such as Power BI and Excel. Developed projects involving AI-driven document extraction (RAG), performance analysis using SQL, and interactive dashboards for data-driven insights.
Mumbai University
Bachelors of Science · Data Science
January 1, 2024 – January 1, 2025
Document extraction using Retrieval-Augmented Generation (RAG).
June 24, 2026 – Present
Developed a system using Retrieval-Augmented Generation (RAG) to extract structured data from unstructured documents. Implemented a retriever to fetch relevant document chunks for efficient information access. Integrated a generator (LLM) to produce accurate, context-aware responses from retrieved data. Enhanced document understanding, query answering, and information extraction for real-world datasets. Improved efficiency and accuracy in processing unstructured documents for practical applications.
Power BI Dashboard - Contact Centre Performance
June 24, 2026 – Present
Built interactive dashboard to track KPIs: AHT, call volumes, FCR, and agent productivity. Created visuals, KPI cards, and slicers for easy trend analysis and performance insights. Used DAX and Power Query to clean data and calculate metrics for data-driven decision making.
Excel MIS Dashboard – Sales & Operations
June 24, 2026 – Present
Built dynamic Excel dashboard with Pivot Tables, VLOOKUP, and formulas to track sales, revenue, and profitability trends for management insights.
Coffee Shop Chain Performance Analysis.
June 24, 2026 – Present
Designed and implemented a relational database to analyze multi-store coffee shop sales. Performed sales, profit, and margin analysis using advanced SQL queries. Identified top-performing products, store types, and regions. Used joins, aggregations, and date functions for business insights. Improved decision-making through data-driven performance evaluation.
Python
Unknown
June 1, 2026 – Present
RPA (Robotic process automation)
Unknown
June 1, 2026 – Present
SCALA
Unknown
June 1, 2026 – Present
Cyber Security
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Devops
Unknown
June 1, 2026 – Present
Cloud Computing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in data analysis, from traditional BI dashboards to modern RAG systems. The certifications listed (Python, SQL, RPA, SCALA, Cyber Security, DevOps, Cloud Computing) suggest a proactive approach to skill acquisition and a diverse technical curiosity. However, the lack of professional experience makes it difficult to fully assess cultural fit in a team or corporate environment. The projects are all academic, which is expected for an entry-level candidate, but limits insight into real-world collaboration and problem-solving under pressure.
Soft Skills & Operational Fit
The candidate highlights 'Quicklearner and adaptable', 'Effective Communication', 'Problem-Solving', 'goal driven', and 'Team approach' as core competencies. These indicate a positive operational fit and a willingness to learn and collaborate. However, these are self-reported and not validated by external assessments or work experience.