Open To Work
Mohd Zeeshan
Kanpur
Summary
Analytical and detail-oriented aspiring Data Analyst with a strong interest in data science and business analytics. Passionate about leveraging data-driven insights to solve real-world problems and support informed decision-making.
Education
Bachelor of Technology (B.Tech) - Information Technology
Diploma - Mechanical Engineering (Automobile)
Senior Secondary (XII) - Science
Secondary (X) - CBSE
Skills
Java
MS-Excel
Attention to Detail
Power BI
ETL processes
Data Visualization
Scikit-learn
Statistical Modeling
Data Science
Python
Research and Analytics
Logical reasoning
MySQL
NumPy
Machine Learning
Problem Solving
Matplotlib
Predictive Analytics
Data Analytics
Advanced Excel
Self-learning
SQL
Pandas
Natural Language Processing (NLP)
Statistics
Seaborn
Deep Learning
PROJECTS
- Market Basket Analysis with Python, May 2026, Conducted Market Basket Analysis using Python to identify trends in customer purchasing behavior., Applied clustering techniques with pandas, NumPy, and scikit-learn to extract key actionable insights., Supported strategic product bundling and marketing decisions with the findings.
- Logistics Optimization for Delivery Routes, Mar 2026 - Apr 2026, Built a comprehensive SQL-based logistics system focused on optimizing delivery routes for e-commerce operations., Executed comprehensive data cleaning, addressing duplicates, missing values, and varied date formats., Leveraged advanced SQL techniques to assess issues like delivery delays, efficiency, and warehouse bottlenecks.
- Financial Risk Analysis with Python, Apr 2026, Developed a financial risk analysis system in Python to analyze transactional data and identify customer risk patterns., Performed data cleaning, segmentation, hypothesis testing, and anomaly detection to extract vital insights into financial behaviors., Created visualizations to represent transaction trends, account performance, overdrafts, and balance volatility.
- Retail Customer Retention Analytics, Feb 2026, Developed an interactive Customer Retention Analytics Dashboard using Power BI by leveraging data on customer demographics, transactions, loyalty programs, and store performance., Utilized Power Query for data modeling and transformations, and crafted calculated columns and DAX measures to evaluate churn, repeat purchase behavior, CLV, and loyalty tier efficiency., Provided actionable insights that guided strategies to decrease churn, optimize loyalty programs, and strengthen customer retention in retail.
- Social Media Analytics for Strategic Branding, Dec 2025, Designed and built a Social Media Intelligence Excel solution for efficient metric extraction, cleaning, and analysis., Conducted analysis linking ad expenditure to follower growth and campaign success, aiding in strategic brand decision-making.
TRAININGS / CERTIFICATIONS
- Data Science
- Nov 2025 - Present
- Internshala, Virtual
- Introduction to Data Analytics
- Data Management and Analysis with MS Excel
- Data Visualization (Power BI)
- Python for Data Analysis
- SQL for Data Analysis
- Machine Learning Fundamentals
- Natural Language Processing
Timeline
Axis Institute Of Technology And Management
Bachelor of Technology (B.Tech) from Information Technology
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Umrao Technological Institute Polytechnic
Diploma from Mechanical Engineering (Automobile)
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Kanpur Intermediate Education Centre
Senior Secondary (XII) from Science
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Oxford Model Senior Secondary School
Secondary (X) from CBSE
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