Summary
Final-year B.Tech Computer Science student with skills in Python, SQL, Power BI, and ML, seeking a Data Analyst role.
Overview
1
1
year of professional experience
1
1
Certification
Work History
ML Developer On-Site
Indian Institute of Technology Jammu
06.2026 - 07.2026
- Performed EDA and preprocessing on 50K+ records to identify patterns and optimize feature engineering.
- Benchmarked 6 ML algorithms (XGBoost, RF, SVM, KNN, LR, DT) using GridSearchCV, achieving optimal F1-score.
Autonomy Engineer On-Site
DRDO - Aerial Delivery Research and Development Establishment
12.2025 - 02.2026
- Analyzed & optimized drone navigation data, improving path efficiency by 30% and operational accuracy by 15%.
- Processed and analyzed UAV telemetry data to improve route planning, obstacle avoidance, and flight stability.
ML Developer On-Site
Indian Institute of Technology Roorkee
05.2025 - 10.2025
- Extracted actionable insights from RSU network data, driving optimization strategies that reduced latency by 20%.
- Built and evaluated 4 ML models on V2X vehicular network datasets, improving packet delivery prediction.
Education
Bachelor of Engineering - Computer Science Engineering
01.2027
Higher Secondary School & Senior Secondary School - undefined
01.2023
Skills
- Python
- SQL
- R
- Git
- MySQL
- PostgreSQL
- AWS
- Tableau
- Qlik Sense
- Jira
- Power BI
- Google Workspace
- MS Office tools
- Pandas
- Matplotlib
- Scikit-Learn
- Seaborn
- Tensorflow
- Keras
- Numpy
- OpenCV
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Statistical Modeling
- Data Visualization
Certification
- IBM: Data Visualization With Python.
- Google: Data, Data Everywhere.
- PWC: Data-Driven Decision Making.
Extracurricular Activities
Awarded 2nd position at the COER University Ideathon 2025 for innovative problem-solving. Organized AI/ML events with GDG, managing logistics and boosting student engagement.
Projects
- Customer Churn Prediction and Retention Analytics using ML, GitHub, Developed an end-to-end customer churn prediction model with 94.5% accuracy using Python and Scikit-learn., Compared 5 classification models (Logistic Regression, KNN, Decision Tree, Random Forest, SVC)., Performed feature engineering and retention analysis to identify key churn drivers, enabling targeted customer retention.
- Automated Invoice Classification and Data Extraction System (Group Project), GitHub, Built an end-to-end ML system with Python, scikit-learn & Streamlit for real-time predictions & optimizing performance., Developed a production pipeline with preprocessing, feature engineering, model training & automated classification., Designed an intuitive Streamlit dashboard for invoice upload, classification, and real-time data retrieval.
- Ola Data Analysis, GitHub, Collected, cleaned, and analyzed ride data using Python (Pandas, NumPy) to uncover trends in trip duration & pricing., Conducted EDA to identify ride peak hours, performed hyperparameter tuning, improving model performance by 15%., Built interactive Power BI dashboards & visual reports to monitor booking patterns, revenue trends & customer behavior.
Timeline
ML Developer On-Site - Indian Institute of Technology Jammu
06.2026 - 07.2026
Autonomy Engineer On-Site - DRDO - Aerial Delivery Research and Development Establishment
12.2025 - 02.2026
ML Developer On-Site - Indian Institute of Technology Roorkee
05.2025 - 10.2025
COER University - Bachelor of Engineering, Computer Science Engineering
Saraswati Vidya Mandir - Higher Secondary School & Senior Secondary School,