Headline

Data Storyteller | Turning Data into Decisions | Data Analyst Skilled in EDA, SQL & Power BI | Ex-Intern @ Venturing Digitally | BI Tools Explorer

About

I’m a data enthusiast who believes every number has a story — you just need to ask the right questions. I recently completed a hands-on internship as a Data Analyst at Venturing Digitally, where I worked on real-world projects exploring data through Exploratory Data Analysis (EDA), SQL queries, Excel dashboards, and Power BI reports. That one month wasn’t just about tools — it was about sharpening how I look at problems, ask meaningful questions, and turn raw data into actionable insights. What I realized? Data analytics is more than crunching numbers. It’s about solving real business problems, making smarter decisions, and creating impact. Whether it’s identifying hidden patterns or simplifying complex data into something decision-makers can use, I enjoy being that bridge between data and action. I’m constantly learning, exploring new BI tools, and deepening my analytical thinking — because in tech, standing still means falling behind. If you’re looking for someone who’s curious, driven, and ready to take on data challenges with a fresh perspective, I’d love to connect.

Location

Pune District

Work experience

Data Analyst Intern at Venturing Digitally Private limited, Jun 2025 - Jul 2025 · 2 mos, Jamshedpur, Jharkhand, India, Developed interactive dashboards in Power BI, mastering data visualization techniques to transform raw datasets into insightful business reports for key stakeholders. Executed SQL queries to extract, filter, and analyze large datasets, enhancing data-driven decision-making processes for business insights and reporting. Cleaned, transformed, and modeled complex datasets using Excel, applying advanced functions, pivot tables, and ETL processes to streamline data preparation and reporting tasks. Leveraged Python libraries (Pandas, NumPy, Matplotlib) to perform data cleaning, manipulation, and visualization, producing actionable insights and visual reports from unstructured data.

AI Intern at Edunet Foundation, Apr 2025 - May 2025 · 2 mos, Remote, Built machine learning models using Python (Scikit-learn, Pandas, NumPy) for data preprocessing, feature engineering, and predictive analysis on real-world datasets. Developed AI-powered data visualizations and insights using Python libraries (Matplotlib, Seaborn) to support data-driven decision-making. Utilized SQL for efficient data querying and extraction, preparing structured datasets for machine learning pipelines and model training. Applied Excel for preliminary data analysis, cleaning, and validation, ensuring high-quality inputs for AI model development and evaluation. Explored AI concepts like supervised learning, model evaluation, and performance metrics, contributing to project prototypes during the internship period.

Education

Bachelor of Technology - BTech, Electronics and communication engineering, Chaibasa engineering college

Diploma in computer science, Government polytechnic adityapur