Data & Research Trainee | Aspiring Data Analyst | Skilled in SQL, Python, Power BI & Data Storytelling
I am a final-year Computer Science Engineering student with a specialization in Data Science. My passion lies in transforming raw data into actionable insights that drive business decisions. I have hands-on experience in the complete data lifecycle, from collection and cleaning to advanced analysis and visualization.
Currently working as a Data & Research Trainee, I conduct market and competitor research, analyze data, and translate findings into clear, actionable insights.
- 🌱 I’m skilled in SQL, Python, Power BI, and Tableau, and I love building interactive dashboards.
- 🔭 I’m now seeking opportunities as a Data Analyst, Business Intelligence Analyst, or Product Analyst to apply my analytical mindset and problem-solving skills to real-world challenges.
- ✍ I enjoy sharing my knowledge through my articles on Medium and newsletters on MailerLite.
- 💬 Ask me about *Data Storytelling, *Machine Learning, or anything related to data!
Here are some of the key technologies I work with:
 Python |
 SQL |
 Power BI |
|
 Machine Learning |
 Jupyter |
 VS Code |
 MS Excel |
 Google Colab |
 Git |
 Data Cleaning |
 Data Modeling |
Here are some of my favorite projects I've worked on:
SQLytics for Retail: SQL-Based Retail Analytics
- Description: Built a relational database from raw transactional data. Performed extensive data profiling, cleaning, and transformation to ensure data reliability.
- Key Achievements:
- Resolved nulls, duplicates, and schema inconsistencies.
- Conducted SQL-based Exploratory Data Analysis (EDA) to uncover insights on product sales, customer segmentation, and seasonal trends.
- Tech Stack: SQL, MySQL, Database Design, Data Cleaning, EDA
- 🔗 View on GitHub
Covid Vaccine Analysis: Global Pandemic Insights
- Description: Developed an end-to-end project to analyze global COVID-19 vaccination data.
- Key Achievements:
- Performed data preprocessing and cleaning using Python (Pandas, NumPy).
- Built interactive and dynamic dashboards in Tableau to visualize country-wise vaccine distribution and efficiency trends.
- Improved data interpretation for stakeholders by 15%.
- Tech Stack: Python, Pandas, Tableau, Data Visualization, Data Cleaning
- 🔗 View on GitHub
Advanced Toxic Comment Analysis: NLP for Content Moderation
- Description: Developed an NLP model to detect and classify toxic comments from online platforms.
- Key Achievements:
- Conducted sentiment scoring and feature engineering on a large text dataset.
- Trained and evaluated multiple classification models (e.g., Logistic Regression, Naive Bayes), improving detection accuracy by 20% compared to a baseline model.
- Presented findings through clear visualizations and technical documentation.
- Tech Stack: Python, Scikit-learn, NLTK, Pandas, Machine Learning, NLP
- 🔗 View on GitHub
Backend Developer Intern @ Techmate (Ghaziabad, UP)
May 2024 - July 2024
- Wrote and optimized SQL queries to extract business data and manage tables in MySQL.
- Performed critical data entry and documentation tasks, ensuring structured and clean records.
- Assisted in exploratory data analysis of business datasets to identify key patterns.
- Documented workflows and presented data-driven insights to stakeholders, improving clarity by 20%.
Data and Research Trainee @ EZ
Oct 2025 - Present
- Conducted market, consumer, and competitor research to identify business trends and insights.
- Analyzed data to support strategic decisions and product improvements.
- Created clear reports and dashboards to present findings to teams.
- Kept track of market trends and tools to stay updated with industry changes.
- Bachelor of Technology in Computer Science & Engineering (Data Science)
- Sharda University, Greater Noida, U.P. (Expected 2026)
View My Certifications
- Database Programming with SQL – Oracle Academy (Sept 2024)
- Data Preprocessing – Great Learning (Aug 2024)
- Machine Learning – Simplilearn (June 2024)
- Power BI for Beginners – Infosys Springboard (May 2025)
- Placement Coordinator: Organized career events and coordinated with recruiters to facilitate placement drives.
- Event Moderator: Led technical discussions and presentations, enhancing public speaking and stakeholder engagement.
- Content Creator (Medium & MailerLite): Authored articles and newsletters on machine learning, data analytics, and data-driven marketing.
I'm always open to connecting with like-minded professionals and discussing new opportunities. Feel free to reach out!
Feel free to check out my projects and contribute!