Driti Arun Singhania
Student
Pune
Summary
I’m a problem-solving enthusiast passionate about identifying and tackling real-world challenges. Passionate about transforming complex problems into opportunities for innovation through data-driven methodologies.
Overview
1
1
year of professional experience
3
3
years of post-secondary education
Work History
Intern
IntersectIQ
Bengaluru
06.2024 - 09.2024
- Data Annotation - Helped in the process of the team by annotating around 300 images each week
- Built an object detection model to detect if the steel coils are rolling or not and further calculating its angular velocity
- Built an image classification model to classify rolling and static coils
Intern
Pravi
Pune
12.2023 - 05.2024
- Created around 1500 logical reasoning questions and breakdowns to simplify problem-solving and enhance logical thinking
Data Analyst Intern
MasterSoft ERP Solutions
Nagpur
07.2023 - 08.2023
- Data Cleaning
- Data Analysis using Python and Excel
- Dashboards
Education
BSc. - Data Science
CHRIST (Deemed to be University)
Pune, Maharashtra 01.2022 - Current
Skills
Data Visualisation
Data Analysis
Data Cleaning
Mathematics
Statistics
SQL
Machine Learning
Deep Learning
Image Processing
Presentations
Burning Cover Pebbling Number, NIMSAT College, Presented a paper titled 'Burning Cover Pebbling Number' at NIMSAT College, under the guidance of Dr. Lian Mathew, exploring combinatorial optimization techniques related to graph theory and mathematical pebbling concepts.
Publications
Green City Rating System, Contributed to a chapter on the 'Green City Rating System' for a Springer publication, under the guidance of Dr. Lekha J., focusing on sustainable urban development and environmental assessment framework.
Projects
AI Model Logic on Rolling Coil in Steel Industries, The AI model for rolling coils in steel industries monitors hot-rolled steel coils by analyzing video footage to detect and classify whether coils are rolling or stationary. Using labeled data, it predicts rolling status and computes metrics like angular velocity, optimizing production efficiency and enhancing quality control in high-temperature environments. Machine Learning Model to Predict Sustainability of Universities, Developed a machine learning model to predict university sustainability using data scraped from the QS Ranking website. Built a regression model for prediction and performed clustering analysis to identify patterns across universities. The project involved data preprocessing, feature engineering, and model evaluation to provide insights into sustainability metrics.
Leadership Experience
- Peer Teaching Head, 09/2023, Present
- Class Representative, 01/2024, 05/2024
- Club Lead, University's Math Club, 09/2023, 05/2024
- Event Coordinator, Zavion Techfest, First national-level techfest at the university
Timeline
Intern
IntersectIQ
06.2024 - 09.2024
Intern
Pravi
12.2023 - 05.2024
Data Analyst Intern
MasterSoft ERP Solutions
07.2023 - 08.2023
BSc. - Data Science
CHRIST (Deemed to be University)
01.2022 - Current
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