Aman Singh

Aspiring Data Scientist | MCA Graduate | Data Analyst & MERN Stack Intern

Summary

I am an MCA graduate with a BSc in Mathematics and around 2 years of combined experience across Data Science, Data Analytics, SQL, and Full Stack Development. I have hands-on experience with Python, SQL, Pandas, NumPy, Excel, Machine Learning, React.js, Node.js, Express.js, databases, and REST APIs. My experience includes data cleaning, validation, analysis, EDA, KPI and dashboard development, as well as building and testing web applications and APIs. I have also worked on projects involving Machine Learning, statistical analysis, fraud detection, sales analytics, and data processing. I am currently looking for opportunities where I can apply my technical and analytical skills while continuing to grow in Data Science, Data Analytics, or software development.

Experience

Data Scientist | Part Time |July 2026–Present
SyntecxHub
  • • Identified missing values, duplicate records, and data inconsistencies while preparing datasets for analysis and reporting.
  • • Performed exploratory data analysis and generated quality reports to support data-driven decision making.
Data Analyst InternApr 2026–June 2026
Mamo Technolabs
  • • Cleaned, validated, and analyzed business data using Advanced Excel while maintaining data accuracy.
  • • Developed interactive dashboards using Pivot Tables, Charts, and Slicers to monitor KPIs and identify business trends.
Full Stack Developer InternDec 2025–Mar 2026
Mamo Technolabs
  • Developed a full-stack web application using React.js, Node.js, Express.js, and Firebase.
  • • Performed database management, input validation, and REST API testing to ensure data accuracy and application reliability
SQL InternJun 2023–Jul 2023
FOSSIP
  • • Designed relational databases and validated data using SQL queries.
  • • Wrote optimized SQL queries using JOINs, Subqueries, Aggregate Functions, and Window Functions for accurate data retrieval.

Education

BSc MathematicsApril 2020- May 2023
Maharaja Sayajirao University of Baroda
MCAJuly 2024- May 2026
Dharmsinh Desai University of Nadiad

Projects

  • House Price Prediction | Technology used: Statistics & Machine Learning | Python, Pandas, NumPy, Scikit-learn, Seaborn
  • • Evaluated model performance using MAE, RMSE, and R² and generated automated reports and visualizations.
  • • Built a Linear Regression model to predict house prices using 6 housing features.
  • Pandas CSV Reader & Basic Analysis | Technology used: Python, Pandas, OpenPyXL
  •  Developed a Python-based utility to read CSV/Excel files, inspect datasets, and perform summary statistics including mean,
  • median, min, max, and count.
  •  Implemented data filtering, column selection, slicing, and exported processed datasets to CSV and Excel formats.
  •  Built a menu-driven application using Pandas for efficient data exploration and preprocessing.
  • Data Cleaning Utility | Technology Used: Python, Pandas, OpenPyXL
  •  Built an automated data cleaning tool to detect and handle missing values, remove duplicates, standardize column names, and
  • parse date fields.
  •  Implemented data type correction, dataset validation, and generated cleaned datasets along with detailed cleaning logs.
  •  Exported processed data to CSV/Excel formats, streamlining preprocessing workflows for data analysis.
  • NumPy Data Explorer | Technology Used: Python, NumPy
  •  Developed a NumPy-based application demonstrating array creation, indexing, slicing, reshaping, broadcasting, and vectorized
  • mathematical operations.
  •  Implemented statistical analysis, file handling (.npy/.npz), and array performance benchmarking against Python lists.
  •  Designed an interactive menu-driven interface to explore NumPy functionalities and generate performance reports.

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