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Data Science with less than a year in Power BI, SQL, Python, and Excel
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 Power BI, SQL, Python, and Excel, with hands-on experience designing dashboards, building analytical models, and transforming complex datasets into actionable business insights. Strong in DAX, Power Query, EDA, and statistical analysis, with a focus on solving business problems through data-driven decisions.
Gautam Buddha University
Master of Computer Applications (MCA) · Data Science
August 1, 2024 – June 30, 2026
PDM University Bahadurgarh Haryana
Bachelor of Computer Application
August 1, 2019 – June 30, 2022
IPL Analysis Dashboard
June 1, 2026 – Present
Designed an interactive Power BI dashboard to analyze IPL performance across seasons, teams, players and venues. Tracked KPIs such as total matches, sixes, fours, centuries, half-centuries, and team-wise points table. Delivered insights on top run-scorers, wicket-takers, and season-wise team dominance using DAX and visual analytics.
Zomato Restaurants Analysis Dashboard
June 1, 2026 – Present
Analyzed restaurant data across 13 countries and 80 cities using interactive Power BI visuals. Explored average ratings, cuisine popularity, online delivery, and table booking trends. Identified top cuisines and country-wise restaurant distribution for business insights.
Stock Market Analysis Using LSTM
June 1, 2026 – Present
Built an LSTM-based time-series model to predict stock closing price trends using historical data. Performed data preprocessing including scaling (MinMaxScaler) and sequence windowing for LSTM input. Evaluated model performance using RMSE and plotted Actual vs Predicted prices for insights.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in data analysis applications, from sports analytics (IPL) to business intelligence (Zomato) and financial forecasting (Stock Market). This breadth, combined with a clear career objective focused on data-driven problem-solving, suggests a good cultural fit for an organization valuing analytical curiosity and practical application of data science skills. The mention of a GitHub portfolio further indicates a proactive and collaborative approach to learning and sharing work.
Soft Skills & Operational Fit
The candidate's resume highlights core strengths such as Analytical Thinking, Data Interpretation, Data Storytelling, Problem Solving, and Effective Communication. These indicate a good foundation for operational fit in a data-driven role requiring collaboration and clear communication of insights. The academic projects demonstrate an ability to work independently on defined problems.