๐ Aspiring Data Analyst | Passionate about Data Science & Problem-Solving Detail-oriented and motivated Data Analyst with a strong passion for uncovering insights through data ๐. Experienced in building real-world data science projects, including interactive dashboards using Power BI and Excel. Skilled in Python ๐, SQL ๐ง , Pandas, and data visualization tools to transform raw data into meaningful analysis that drives informed decisions.
0 + Projects completed
๐ฏ Data-driven and curious mind passionate about turning raw data into real insights! With hands-on experience in SQL ๐ง , Power BI ๐, and Python ๐, Iโve built impactful dashboards like Churn Analysis and Marvel Movie Insights ๐ฌ. Known for clear communication ๐ฌ, creative thinking ๐ก, and a strong drive to solve real-world problems through data ๐.
ExceIR EdTech is an emerging education technology company focused on real-world AI/ML applications.
Completed Accentureโs Virtual Data Analytics Internship via Forage, simulating a real-world credit risk analytics task.
Graduated with A++ First Class Distinction..
Grade: Second Class .
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Developed a complete churn analysis pipeline by extracting and transforming telecom data using SQL, and visualizing key churn metrics in Power BI to uncover trends, customer segments, and retention opportunities.
Built an interactive Power BI dashboard by analyzing Marvel movie data to showcase box office trends, character appearances, and release timelines, enabling data-driven insights into the Marvel Cinematic Universe.
Designed and developed a Power BI dashboard to monitor hospital operations, including patient admissions, doctor availability, bed occupancy, and departmental performance. Let me know if you want to include tools like SQL/Excel or specify the departments (e.g., ICU, OPD, etc.).
Created a dynamic Power BI dashboard to track Amazon sales data, including product performance, category-wise revenue, order volume, and customer trends across regions. Let me know if you used any specific dataset (e.g., Kaggle) or added features like slicers, drill-throughs, or DAX measuresโso I can tailor it further!.
Developed a full-stack disease prediction website using machine learning to diagnose illnesses based on user-input symptoms and skin images, integrating image classification and NLP techniques for accurate, multi-modal diagnosis. Let me know if youโd like to mention specific tech used (e.g., Python, Flask, TensorFlow, MobileNetV2, etc.) or include the payment feature (Razorpay)!
Below are the details to reach out to me!
Mumbai, India