About
Hello, I'm currently pursuing my Masters in Data Science at the University of California, San Diego. I am a vibrant and proactive person, constantly seeking out new opportunities for growth and learning. My technical proficiency spans data analysis, optimization of data processes, and enhancing data-driven decision-making. I am committed to applying my skills to create impactful solutions and promote innovation in every endeavor I undertake.
- Languages: Python, R, Java, JavaScript, C, HTML/CSS, Bash
- Databases: MySQL, PostgreSQL, NoSQL (MongoDB), GraphQL
- Libraries: NumPy, Matplotlib, Pandas
- Frameworks: Flask, Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap, Apache Beam
- Tools & Technologies: Tableau, Power BI, AWS, Git, Alteryx, Neo4j, Excel (Pivot, VBA), Apache Spark, Kafka
Looking for an opportunity to work in a challenging position combining my skills in Data Science, which provides professional development, interesting experiences and personal growth.
Experience
- Taught SQL and database management, earning high praise from 96% of students.
- Created and graded a curriculum that improved students' data handling skills. Tools: SQLite, PostgreSQL, Object- Oriented Data Model, XML databases, SPARQL, Presentation
- Improved machine learning model accuracy by 25% and reduced data latency by 40% using TensorFlow, Scikit-learn, and Azure.
- Enhanced decision-making and workflow efficiency by 15-20% through Agile, Tableau, and optimized database management.
- Automated reports with Power BI dashboards that integrate data from MySQL and data warehouses for timely business insights.
- Tools: MySQL, Power BI, Python, TensorFlow, Scikit-learn, Azure, Tableau
- Conducted live coding sessions in C programming, delivering over 120 hrs of instruction to a students.
- Covered topics on control statements, functions, arrays, strings, pointers, dynamic memory allocation, and error handling.
- Tools: C
- Enhanced data processing and model accuracy by 30% and 35% respectively using advanced machine learning techniques and Python.
- Streamlined data management and reporting on AWS, MongoDB, and Power BI, significantly improving efficiency and decision-making.
- Tools: SQL, Power BI, AWS, Python, MongoDB
Hobbies
My Me Time :)
Projects
Machine Learning Model to detect frauds.
- Tools: Scikit-learn, LightGBM, Matplotlib, Kolmogorov-Smirnov (KS) test
- Developed predictive models using advanced feature engineering from 10 data fields
- Achieved a 3% false discovery rate with a Random Forest classifier.
- Projected to save $45 million annually by reducing fraud and false positives.
A comprehensive data analysis on different data models
- Tools: SQL, Neo4j GraphQL, NoSQL
- Conducted a comprehensive analysis of data science subreddits using PostgreSQL, Cypher, and MongoDB.
- Integrated relational, graph, and JSON data from Kaggle and Reddit in a Docker environment.
- Derived insights on subreddit growth, engagement, and community trends.
A digital platform for reserving seats at academic activities
Leadership and Volunteering
- Organized data regarding donations and budget reports into detailed pivot tables which helped to speed up the analytics processing by 2x
- Managed the CSI team for all the activities conducted by CSI-VIT.
- Conducted 12 successful events including webinars, workshops, competitions and also streamlined collaborative events with GitHub, Spark AR, CESA-VIT.
- Coordinated with the companies and onboarded them for hiring which resulted in increased internship and placement opportunities for students of IITM
- Responsible to lead the design group and designed visual content for the official social media pages to improve the engagement of students with the committee
- Improved the engagement and increased the reach of the event by 20% using appealing posts on social media.
Education
University of California, San Diego
San Diego, USA
Degree: Master of Science in Data Science
CGPA: 4.0/4.0
- Statistical Model
- Fraud Analytics
- Causal Inference
Relevant Courseworks:
Mumbai, India
Degree: Bachelor of Engineering in Computer Engineering
CGPA: 4.0/4.0
- Big Data Analytics
- Social Media Analytics
- Finance Management
Relevant Courseworks: