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Data Analysis with less than a year in data analysis and visualization.
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 with a strong foundation in data analysis, reporting, and visualization techniques. Proficient in Python, SQL, Advanced Excel, Statistics, and Microsoft Power BI, with practical experience in data cleaning, exploratory data analysis, dashboard creation, and business reporting. Capable of analyzing large datasets, identifying meaningful patterns, and converting complex data into actionable insights that support strategic decision-making. Possess strong analytical, problem-solving, and communication skills to improve business performance and operational efficiency.
Innomatics Research Science
DA & BA · Python, EDA, Statistics, SQL, Power BI, Agile & Scrum
August 1, 2025 – June 30, 2026
Malla Reddy College of Engineering & Technology
Master of Business Administration · Business Analytics & Human Resources
August 1, 2023 – June 30, 2025
Lal Bhadur Degree College
Bachelor of Science · Mathematics, Statistics & Computer Science
August 1, 2019 – June 30, 2023
EDA Project On Myntra Fashion Clothing Analysis Using Python
January 1, 2026 – June 1, 2026
Performed Exploratory Data Analysis (EDA) on Myntra fashion dataset to analyse pricing, discounts, brand performance, ratings, and customer Reviews. Conducted univariate, bivariate, and multivariate analysis to identify customer purchasing patterns and price sensitivity. Used data visualization techniques (bar charts, box plots, histograms, heatmaps) to communicate insights effectively. Tools & Technologies Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook.
Worldwide Energy Consumption using MySQL
January 1, 2026 – June 1, 2026
Analysed global energy consumption datasets using MySQL to identify trends across countries and energy sources. Wrote advanced SQL queries using JOINS, GROUP BY, subqueries, and aggregate functions to extract meaningful insights. Compared renewable vs non-renewable energy usage across regions to understand sustainability patterns. Identified year-over-year consumption growth and major contributors to global energy demand. Tools & Technologies Used: Excel, MySQL.
HR Analytics – Employee Benefits & Retention Analysis, Using Power BI
January 1, 2026 – June 1, 2026
Analyzed a dataset of 5,000+ employee records to identify factors affecting employee satisfaction and retention. Created interactive Power BI dashboards to visualize HR metrics, employee benefits, and workforce trends effectively. Applied data analysis and statistical techniques to achieve nearly 85% accuracy in identifying retention patterns. Generated actionable insights that helped improve HR decision-making and employee engagement strategies. Tools & Technologies Used: Excel, Statistics, Power BI, MySQL.
Churn Data Prediction in the Telecommunication Industry
January 1, 2026 – June 1, 2026
Conducted a comprehensive analysis of customer data to predict churn, achieving an 81% accuracy through the implementation of machine learning techniques. Deployed methods such as logistic regression, decision trees, and data forecasting. Gathered 150,000 customer data points and employed them effectively. Improved customer retention, streamlined marketing initiatives, and decreased costs by up to 30%. Tools & Technologies Used: Excel, Python, Statistics, Power BI, MySQL.
Python Programming
Innomatics Research Labs
June 1, 2026 – Present
MySQL
Innomatics Research Labs
June 1, 2026 – Present
Power BI
Innomatics Research Labs
June 1, 2026 – Present
Prepare Data for Exploration
Coursera
June 1, 2026 – Present
Power BI Data Modelling Basics
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data analysis skills across different domains (fashion, telecommunications, energy, HR), indicating adaptability and a broad interest in leveraging data for various business problems. The pursuit of an MBA with a specialization in Business Analytics and HR further suggests a business-oriented mindset, which aligns well with roles requiring strategic data insights. However, the lack of professional experience means cultural fit in a corporate environment, especially in a senior capacity, is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project descriptions. The ability to convert complex data into actionable insights and improve business performance indicates a results-oriented approach. However, without actual work experience, the operational fit in a senior role requiring independent decision-making and team leadership is unproven.