Headline

Data Analyst Intern | Ex-Data Science Intern | Aspiring Data Analyst | Python | SQL | Power BI | Machine Learning | GenAI

About

Driven by a passion for uncovering insights, I'm an aspiring Data Analyst and Data Scientist with a strong foundation in Python, SQL, Excel, and Power BI. I apply these tools to solve complex problems and create meaningful dashboards. My curiosity about the future of technology has also led me to explore AI and Generative AI and their powerful applications in analytics. I've gained valuable practical experience through virtual internships with British Airways, Tata, and Deloitte. Hands-on projects with SQL Workbench and Python have further strengthened my expertise in data analytics, business intelligence, and backend development, while I continue expanding into machine learning. Beyond my technical skills, I believe that strategic thinking is a core asset. My experience as a state-level chess competitor and district silver medalist has refined my analytical mindset, a skill I bring to every data challenge. I am always keen to connect with fellow professionals to share ideas and collaborate in the world of data, AI, and analytics. Let's connect!

Location

Agra

Work experience

Data Analyst Intern at Codec Technologies India, Sep 2025 - Dec 2025 · 4 mos, India, Currently pursuing a remote 3-month Data Analytics Internship at Codec Technologies, focusing on Python, SQL, and data visualization. Gaining hands-on experience in EDA, machine learning, and cloud analytics using tools like Pandas, Scikit-Learn, and AWS.

Data Science Intern at Wayspire, Jul 2025 - Nov 2025 · 5 mos, India, During my internship at Wayspire, I am gaining hands-on experience in data analysis, data manipulation, and visualization while working on real-world projects. My key responsibilities include: Data Analysis & Pre-processing: Performing Exploratory Data Analysis (EDA) using Python (pandas, NumPy) to clean and prepare datasets, including handling missing values, removing duplicates, and summarizing key data patterns. Data Manipulation: Leveraging Python data structures and pandas for SQL-like operations such as filtering, grouping, and selecting data to generate meaningful insights. Data Visualization: Creating interactive and static visualizations using Matplotlib, Seaborn, and Plotly (bar plots, histograms, line graphs, heatmaps) to effectively communicate trends and findings. Program Development: Designed and implemented a Python program to analyze student performance by calculating totals, percentages, grades, and results—strengthening my problem-solving and logical thinking skills. This internship is helping me build a strong foundation in data science while applying my technical skills to practical, impact-driven tasks.

Education

RAJA BALWANT SINGH ENGINEERING TECHNICAL CAMPUS, AGRA