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Analytical Operations Fresher with Python, SQL, Excel, and Power BI skills.
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 M.Sc. Statistics graduate with a strong foundation in data analysis, statistical methods, and business intelligence. Skilled in SQL, Microsoft Excel, Power BI, Python, and data visualization techniques. Experienced in data cleaning, exploratory data analysis (EDA), dashboard development, and transforming complex datasets into actionable business insights. Strong analytical and problem-solving abilities with a keen attention to detail and a passion for data-driven decision-making. Eager to leverage technical and analytical skills to contribute effectively as a Data Analyst while continuously learning and growing in a dynamic professional environment.
Aligarh Muslim University
Master of Science · Statistics
October 20, 2021 – July 18, 2023
Integral University
Bachelor of Science · Physics, Mathematics and Statistics
August 10, 2018 – October 6, 2021
Customer Churn Analysis
May 27, 2026 – June 1, 2026
• Analyzed customer churn patterns using SQL queries and data visualization techniques. • Performed data cleaning, aggregation, and KPI analysis to identify customer retention trends. • Created Power BI dashboards to track churn rate, customer segments, and business insights.
View ProjectUber Demand-Supply Gap Analysis
May 1, 2026 – June 1, 2026
• Analyzed Uber ride request data to identify demand-supply gaps and operational challenges. • Performed data cleaning and preprocessing using Python and Excel. • Conducted Exploratory Data Analysis (EDA) to understand ride cancellations and unfulfilled requests. • Created interactive Excel dashboards using Pivot Tables, KPI Cards, Charts, and Slicers. • Identified peak demand hours and key factors affecting ride completion rates. • Generated business recommendations to improve driver availability and customer satisfaction.
View ProjectImpact of Social Condition on Total Violent Crimes of India: A Statistical Analytical Study using Python and R
January 10, 2023 – October 7, 2023
• Analyzed socio-economic indicators affecting violent crime rates across India. • Performed data cleaning and statistical analysis using Python and R. • Created visualizations to identify relationships between crime rates and social variables.
Python Data Structures
University of Michigan, Coursera
June 1, 2026 – Present
Capstone: Retrieving, Processing, and Visualizing Data with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and diverse project portfolio (customer churn, demand-supply analysis, social impact study) demonstrate a broad interest in applying data analysis to various domains. This adaptability and eagerness to learn, as stated in the 'About Myself' section, suggest a good cultural fit for dynamic, data-driven environments. The personal and academic projects indicate initiative and a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's self-description highlights strong analytical and problem-solving abilities, keen attention to detail, and a passion for data-driven decision-making. These traits are crucial for a Data Analyst role. The project descriptions indicate an ability to work independently on analytical tasks, which suggests good operational fit for roles requiring self-directed problem-solving.