
ANKIT DEY
ankit.dey.pc@gmail.com
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+91 7319240891|LinkedIn | N.S.B Road Bye Lane, Raniganj, West Bengal, 713347
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EDUCATION
Haldia Institute of
Technology
Applied Electronics and
Instrumentation Engineering
June, 2026
Haldia, IN
8.13
CGPA
CBSE, XII - HEM SHEELA MODEL
SCHOOL
March,2020
Core Science – 74.2%
TECHNICAL SKILLS
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Programming & Data: Python, SQL,
Data Structures, Algorithms
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Analytics Tools: Google Sheets,
Docs, Excel, Data Visualization
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Version Control: GitHub
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Data Analytics fundamentals (SQL,
Python, Power BI, Spreadsheets,
Data Visualization)
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Google Workspace (Docs, Sheets,
Gmail, Chrome) for collaboration
and reporting
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Experienced across the data
lifecycle: collection, cleaning,
transformation, analysis,
visualization, and reporting
NON-TECHNICAL
SKILLS
Clear written and verbal
communication for stakeholder
collaboration
Strong analytical thinking with data-
driven problem solving, critical
thinking, and ability to navigate
ambiguous tasks independently or in
teams
Independent contributor with cross-
functional teamwork and adaptability
Efficient time management and
system optimization through project
execution
PROJECTS
Credit Card Fraud Detection | Report Link Python, Scikit-learn, Data Preprocessing
Developed a fraud detection system in Python (NumPy, Pandas,
Scikit-learn) on the Kaggle dataset (~284K records).
Implemented Logistic Regression, Decision Trees, Random Forests,
achieving 99.6% accuracy on imbalanced data.
Enhanced fraud precision from 28% → 33% via preprocessing,
feature scaling, and class imbalance handling.
Built modular architecture for multi-algorithm integration, improving
scalability and detection.
Evaluated models with accuracy, precision, recall, and outlined scope
for real-time banking applications.
Applied problem-solving, teamwork, and documentation skills in
executing and presenting the project.
Automated Data Cleaning for Retail Analytics
Python scripting, Feature
engineering, Data quality enhancement
Built a Python script to clean and enrich Superstore retail data across
10,000+ rows and 18+ fields.
Engineered derived features like OrderMonth and ProfitMargin for time-
series and profitability analysis.
Automated missing value imputation and duplicate removal, improving
data quality and reducing manual effort.
Standardized column names and date parsing for seamless integration into
dashboards and ETL workflows.
Used SQL queries for data extraction, cleaning, and trend analysis in
analytics projects.
INTERNSHIPS
Data Analyst – I (Trainee Intern) |
CERTIFICATE
Intrainz Innovation
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Designed and implemented data visualization dashboards for patient health
monitoring, improving accessibility and clinical decision-making.
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Processed and analyzed patient datasets to identify anomalies and actionable
insights, enabling timely interventions.
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Collaborated with cross-functional teams to build responsive, data-driven in-
terfaces, streamlining healthcare workflows.
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Conducted usability testing and optimized performance, enhancing data relia-
bility and user engagement.