Data Science • Machine Learning • Data Engineering
Designing data-driven systems and machine learning solutions for real-world impact. Currently pursuing a B.Tech in Computer Science with a focus on scalable data engineering and applied AI.
About
I'm a Computer Science undergraduate at Lovely Professional University with a strong focus on data science, machine learning, and data engineering. I enjoy working on real-world datasets and building systems that turn raw data into meaningful insights and scalable solutions.
My recent work includes developing predictive models, performing large-scale exploratory data analysis, and building data pipelines using tools like Python, PySpark, and Power BI. I’m particularly interested in solving problems that combine statistical thinking with practical implementation.
Beyond academics, I actively practice data structures and algorithms, participate in coding contests, and continuously explore new technologies in AI and data engineering. I'm currently seeking opportunities where I can contribute, learn, and build impactful data-driven products.
Languages/Web Tech
Data & ML
Soft & Business Skills
Projects
Performed end-to-end EDA on 45,000+ NASA meteorite records using Python. Applied outlier detection (IQR), correlation analysis (heatmaps), and hypothesis testing (P < 0.05) to analyze differences between “Fell” and “Found” meteorites. Derived geospatial and temporal insights.
↗Analyzed 10,000+ mortality records (NCHS dataset) and built an interactive Power BI dashboard. Used DAX and decomposition tree analysis to identify high-growth mortality clusters and forecast trends, predicting a 10–12% increase in accidental deaths.
↗Built a scalable data engineering pipeline using Delta Lake and PySpark to support real-time incremental data ingestion. Implemented version-controlled data processing and ensured consistency across datasets with structured streaming workflows.
Experience
Celebal Technologies
Architected a scalable data ingestion pipeline using Delta Lake, PySpark, and Structured Streaming, enabling real-time incremental data processing with version control. Developed automated data generation and ingestion workflows, ensuring consistency across datasets. Integrated an email notification system with HTML-based insights, improving monitoring and reducing manual intervention.
Techfest, IIT Bombay
Led marketing campaigns across digital and offline channels, significantly increasing student engagement. Managed and coordinated a network of 100+ students and faculty to expand outreach across colleges. Collaborated with industry partners to promote workshops and competitions, boosting event participation.
Certifications
Achievements
Solved 290+ DSA Problems
Solved 290+ problems across platforms including 100+ on LeetCode, covering core algorithmic concepts.
LeetCode Rating — 1466
Achieved a contest rating of 1466 on LeetCode, demonstrating strong problem-solving and competitive programming skills.
CodeChef Rating — 1127
Secured a rating of 1127 on CodeChef through consistent participation in rated contests and algorithmic challenges.
LeetCode 50 Days Badge
Earned the LeetCode 50 Days Badge by maintaining consistent daily problem-solving streak.
Full résumé with coursework and references.
