About
As a data-driven solutionist, I specialize in leveraging data analysis and machine learning to solve real-world problems. With a strong foundation in Python libraries like Pandas, NumPy, and Scikit-learn, along with experience in MySQL and MongoDB, Iām adept at transforming raw data into actionable insights. I have foundational knowledge in cloud technologies, including AWS and Azure, and a good grasp of AI, neural networks, and statistical analysis. My passion lies in using data to drive innovative solutions and continuous improvement.
I am now seeking a challenging role as a Data Scientist, Data Analyst ,AI ML Engineer where I can apply my diverse skill set and domain knowledge to tackle real-world problems head-on. With a track record of delivering actionable insights and driving business value through data-driven solutions, I am eager to contribute to a dynamic team and make a meaningful impact in the field of data science and analytics.
Technical Skills
Education And Experience
Education
Master of Science in Data Science
2022 - 2024
CGPA : 9.65
Loyola College, Chennai, India
Bachelor of Science in Mathematics
2019 - 2022
CGPA : 9.75
Loyola College, Chennai, India
Experience
Data Analysis Intern
Kanini Software Solutions Private Limited, Chennai.
Dec 2023 - Mar 2024
'Unveiling Patient Absence: A Deep Dive into Medical Appointment No-Shows:'
An analysis was conducted on factors contributing to patient no-shows for medical appointments using Python. Statistical methods and machine learning were employed to derive actionable insights, ultimately aiming to improve appointment adherence.
Projects
IPL Analysis in PowerBI
The IPL data analysis project utilized Excel and Power BI to uncover team strategies and player performance insights. By applying DAX formulas, the analysis facilitated data-driven decisions for IPL teams and created visually compelling dashboards that revealed hidden patterns in cricket performance. Key aspects included identifying KPIs, analyzing player stats, team dynamics, match outcomes based on toss results, and the impact of ground locations on match results.
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Sentiment Analysis of Commercial Surrogacy
This sentiment analysis project leverages Python, Pandas, NLP, and TextBlob to analyze Twitter data surrounding commercial surrogacy in India. Focusing on the hashtag #commercialsurrogacyinindia, it captures public sentiment during a high-profile controversy involving celebrity couple Nayanthara and Vignesh Shivan. The project highlights public opinion during a time of significant legal and social changes regarding surrogacy in India.
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Chat with PDF Documents - Gemini AI
This project enables users to upload Multiple PDF files, extract text, split it into chunks, and create a searchable vector store for quick content retrieval. Users can ask questions and receive answers based on the extracted information from the PDF files. Utilizing Python, Streamlit, PyPDF2, LangChain, and FAISS, the project processes and queries PDF content efficiently.
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Certificates
