Offering strong analytical mindset and eagerness to learn and grow in data-centric environment. Conducts detailed data analysis while utilizing statistical software and programming languages to uncover trends and patterns. Ready to use and develop skills in SQL and data visualization in Data Analysis role.
Overview
3
3
Certifications
Work History
Data Analyst Intern
Tata Steel, LD-1 Department
04.2026 - 06.2026
- Developed an XGBoost regression model for the LD-1 Superheat Transform system, achieving an R-squared of 0.887 (MAE 99.83, RMSE 204.81) in predicting Actual Temperature — a substantial improvement over an initial Random Forest baseline (see Projects).
- Integrated, cleaned, and transformed multi-source steel production datasets by merging Production and Sublance records using a common heat-cycle identifier; performed data validation, missing-value imputation, outlier handling, and feature engineering to prepare reliable datasets for predictive modeling.
- Designed and deployed interactive Power BI dashboards with DAX measures, Power Query transformations, KPI cards, and temperature trend analysis, enabling engineers to monitor key converter metrics including Reblow Rate, Splashing Rate, FeO%, Silicon%, Tapping Temperature, and Vessel Life across BOF operations.
- Presented modeling results and dashboard designs to mentors and process engineers, and authored a 6-section internship report (abstract, introduction, methodology, results, conclusion, acknowledgement) with an accompanying presentation for stakeholder review.
Education
B.Tech - Information Technology
KIIT University
Bhubaneswar
01.2027
Skills
Programming Languages: Python, SQL, Java
Data Analysis & Machine Learning: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Regression Analysis, Feature Engineering, Random Forest, XGBoost, scikit-learn, Pandas, NumPy
Data Visualization & BI: Power BI (DAX, Power Query, Data Modeling), Dashboard Development, KPI Reporting, Matplotlib, Seaborn, Folium, Plotly, Dash, Microsoft Excel
Python programming
Data cleaning
Excel functions
Big data analytics
Machine learning
Data integration
SQL and databases
Data and analytics
Data modeling
Tableau
KPI tracking
Business analysis
Team collaboration
Certification
IBM Data Visualization with Python — Coursera (Jupyter, Matplotlib, Seaborn, Folium, Dash/Plotly capstone project)